Production system for the automated assembly of vehicle components and method for controlling a production system

Abstract

A production system for automated assembly of vehicle components, in particular for automated assembly of structural components of an aircraft or spacecraft. The production system includes vehicle components with status sensors that can determine status data of the respective vehicle component, positioner units to grip the respectively associated vehicle component at mounting points and move the respectively associated vehicle component into an assembly position, a position-measurement system to determine the assembly position of each vehicle component, force sensors to determine at least one of reaction forces and moments of each gripped vehicle component at the mounting points in the assembly position, and a computer-based control system in data communication with the vehicle components, the positioner units, the position-measurement system and the force sensors, and configured to control the positioner units based on determined status data, the determined assembly positions and the determined reaction forces and moments of the vehicle components.

Claims

1. A production system for automated assembly of vehicle components, in particular for automated assembly of structural components of an aircraft or spacecraft, the production system comprising: vehicle components comprising status sensors, each status sensor configured to determine status data of a respective vehicle component with which each status sensor is associated; positioner units, each of which is configured to grip at least one vehicle component at mounting points and move the at least one vehicle component into an assembly position; a position-measurement system configured to determine the assembly position of each vehicle component; force sensors configured to determine at least one of reaction forces and moments of each vehicle component at the mounting points in the assembly position; and a computer-based control system in data communication with the status sensors of the vehicle components, the positioner units, the position-measurement system, and the force sensors, the computer-based control system being configured to control the positioner units based on the status data determined by each status sensor, the assembly position of each vehicle component determined by the position-measurement system, and the reaction forces and/or moments of the each vehicle component determined by the force sensors; wherein the computer-based control system comprises a multi-agent system including positioner agents, the computer based-control system being configured to actively control each positioner unit via an associated positioner agent, and vehicle-component agents, the computer-based control system being configured to actively control each vehicle component via an associated vehicle-component agent.

2. The production system according to claim 1, wherein each vehicle component is in data communication with a data storage, the data storage configured to store the status data and identification and configuration data of the respective vehicle-component.

3. The production system according to claim 2, wherein the data storage is implemented in the respective vehicle component.

4. The production system according to claim 1, wherein the status data comprise at least two of load data, stress data, strain data, structural health data, proximity data and environmental data.

5. The production system according to claim 1, wherein the status sensors comprise at least one of load cells, stress gauges, strain gauges, structural health monitoring sensors, proximity sensors and environmental sensors.

6. The production system according to claim 1, wherein the force sensors comprise load cells mounted to the positioner units.

7. The production system according to claim 1, wherein the position-measurement system comprises a laser tracker.

8. A method for controlling a production system for automated assembly of vehicle components, in particular for automated assembly of structural components of an aircraft or spacecraft, the method comprising: gripping each vehicle component with respectively associated positioner units at mounting points; moving each vehicle component with the respectively associated positioner units into an assembly position; determining the assembly position of each vehicle component with a position-measurement system; determining at least one of reaction forces and moments of each gripped vehicle component with force sensors at the mounting points in the assembly position; determining status data of each vehicle component with status sensors provided at each vehicle component; communicating data between a computer-based control system and the status sensors of the vehicle components, the positioner units, the position-measurement system and the force sensors, wherein the computer-based control system comprises a multi-agent system including positioner agents and vehicle-component agents; controlling the positioner units with the computer-based control system based on the determined status data, the determined assembly positions and the determined reactions forces and moments of the vehicle components; actively controlling, using the computer based-control system, each positioner unit via an associated positioner agent; and actively controlling, using the computer-based control system, each vehicle component via an associated vehicle-component agent.

9. The method according to claim 8, wherein the positioner units are collectively controlled to minimize deviations of the determined assembly positions of the vehicle components from nominal assembly positions of the vehicle components.

10. The method according to claim 9, wherein the deviations are minimized under consideration of the determined status data of the vehicle components and the determined reaction forces and moments at the mounting points of the vehicle components.

11. The method according to claim 9, wherein the deviations are minimized based on a neural network representing behavior of the vehicle components and the positioner units.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

(1) The accompanying drawings are included to provide a further understanding of the disclosure herein and are incorporated in and constitute a part of this specification. The drawings illustrate the embodiments of the disclosure herein and together with the description serve to explain the principles of the disclosure herein. Other embodiments of the disclosure herein and many of the intended advantages of the disclosure herein will be readily appreciated as they become better understood by reference to the following detailed description. The elements of the drawings are not necessarily to scale relative to each other. In the figures, like reference numerals denote like or functionally like components, unless indicated otherwise.

(2) FIG. 1A, 1B schematically show perspective views of the assembly of a fuselage section of an exemplary aircraft (exploded view in FIG. 1A and assembled view in FIG. 1B).

(3) FIG. 2 shows a flow diagram of a method for controlling a production system for the automated assembly of vehicle components according an embodiment of the disclosure herein.

(4) FIG. 3 schematically depicts a production system for the automated assembly of vehicle components according to an embodiment of the disclosure herein as it is used in FIG. 2.

(5) FIGS. 4A, 4B schematically show production systems for the automated assembly of vehicle components according to further embodiments of the disclosure herein.

DETAILED DESCRIPTION

(6) Although specific embodiments are illustrated and described herein, it will be appreciated by those of ordinary skill in the art that a variety of alternate and/or equivalent implementations may be substituted for the specific embodiments shown and described without departing from the scope of the disclosure herein. Generally, this application is intended to cover any adaptations or variations of the specific embodiments discussed herein.

(7) FIGS. 1A and 1B schematically show perspective views of the assembly of a fuselage section of an exemplary aircraft 100, e.g. a commercial passenger aircraft. Specifically, FIG. 1A depicts a fuselage aft section of a fuselage shell of the aircraft 100 in exploded view. The fuselage aft section is assembled from a multitude of smaller vehicle components 1, e.g. made of metal, metal alloy, and/or composite material like CFRP or similar, comprising two side shell portions (including window and door openings), a lower shell portion, an upper shell portion, a passenger floor, and a tapering tail section. The shell portions are circumferentially adjoined around the passenger floor to form a circumferential shell, which is then closed off in the aft direction with the tapering tail section. The assembly of these vehicle components 1 is shown in FIG. 1B. The assembly process may be executed by methods and production systems according to embodiments of the disclosure herein as they will be described in the following. It will be clear to the person of skill however that the method and production system according to the disclosure herein may be used to assemble and manufacture many other types of vehicles or vehicle components that differ in shape or configuration from the depicted examples. For illustration purposes only, FIGS. 1A-4 address the assembly of a passenger aircraft fuselage aft section. In principle, the embodiments of the method and the production system, as they will be described in the following, may be used not only for the assembly of passenger aircraft or sections of passenger aircraft, but also in general applications within the transport industry, e.g. in landborne, waterborne or airborne vehicles. However, the embodiments of the disclosure herein described herein are particularly advantageous for the assembly of large vehicle components 1, in particular structural components of aircraft 100.

(8) FIG. 2 shows a flow diagram of a method M for controlling a production system 50 for the automated assembly of vehicle components 1 according an embodiment of the disclosure herein. FIG. 3 depicts a production system 50, as it is used in the method M of FIG. 2, for the automated assembly of vehicle components 1 according to an embodiment of the disclosure herein. The method M comprises under M1 gripping each vehicle component 1 with respectively associated positioner units 2 at mounting points 7. For this purpose, each positioner unit 2 is equipped with one or several gripper arms or similar, with which the positioner unit 2 may attach to the vehicle component 1 at a certain mounting point 7 such that the vehicle component 1 may be processed further. A vehicle component 1 may be gripped by one single positioner unit 2 or by several positioner units 2. In the exemplary depiction in FIG. 3, two vehicle components 1 are shown, each of which represents a fuselage side portion of a passenger aircraft, e.g. as the one shown in FIGS. 1A, 1B. Each side portion is gripped by two positioner units 2 arranged along the component's longitudinal axis, so that the positioner units 2 are mechanically coupled via the side portion to be positioned. However, the person of skill will readily acknowledge that many other variations of the arrangement depicted in FIG. 3 are included in the disclosure herein. For example, each vehicle component 1 may equally well be gripped by one single positioner unit 2 or more than two positioner units 2. Each positioner unit 2 may be provided with one or several gripping means, e.g. gripped arms or similar, and may thus grip and/or hold the vehicle components 1 at several mounting points 7 at the same time.

(9) Still referring to FIGS. 2 and 3, the method M further comprises under M2 moving each vehicle component 1 with the respectively associated positioner units 2 into an assembly position 3. To this end, the positioner units 2 may, for example, be mounted on rails that allow to move them into a specific direction. Furthermore, the gripping means of the positioner units 2 may be configured to move into different spatial directions to change the position as well as the orientation, the inclinations, etc., of the vehicle component 1. Like this, the vehicle components 1 may be moved from one assembly position 3 into another assembly position 3′, which may be for example a nominal assembly position 3′.

(10) As a further step, the method M comprises under M3 determining the assembly position 3 of each vehicle component 1 with a position-measurement system 4. The position-measurement system 4 may be, for example, a laser tracker or similar tracking interferometer, a photogrammetry system or any other measurement system suited for the use case at hand, i.e. in this case the assembly of large aircraft components. The method M further comprises under M4 determining reaction forces and/or moments of each gripped vehicle component 1 with force sensors 5 at the mounting points 7 in the assembly position 3. The force sensors 5 may mounted on the positioner units 2 next to the mounting points 7 and may be coupled to the grippers or gripper arms. The force sensors 5 may comprise piezoelectric, hydraulic, pneumatic, or mechanical load cells or other suitable means that are able to provide a signal whose magnitude is proportional to the force or moment being measured. The load cells provide information about forces and/or moments at the mounting points 7 of the vehicle components 1 at the positioner units 2. The respective reaction force and moment data can then be used to correct the position and/or trajectory of one or several vehicle components within the spatial dimensions. The force and moment data may be used locally for each associated positioner unit 2 and/or globally by taking into account the respective data of adjacent positioner units 2 or, for example, all other positioner units 2.

(11) Still referring to FIGS. 2 and 3, the method M further comprises under M5 determining status data 12 of each vehicle component 1 with status sensors 10 provided at each vehicle component 1. Each status sensor 10 is configured to determine status data 12 of the respective vehicle component 1. The status data 12 may comprise at least one of load data, stress data, strain data, structural health data, proximity data and environmental data and the like. The status sensors 10 may comprise at least one of load cells, stress gauges, strain gauges, structural health monitoring sensors, proximity sensors and environmental sensors and the like. For example, one or several status sensors 10 may be configured as environmental sensors, e.g. a temperature or humidity sensor, to monitor and secure that the environmental conditions fulfill all possible requirements. In another example, one or several of the status sensors 10 may be configured as proximity sensors to optimize handling during the assembly process and to avoid collisions with other vehicle components 1 and/or other components of the production system 50. One or several of the status sensors 10 may further be configured as structural health monitoring sensors, e.g. in the form of acceleration sensors integrated into the vehicle components 1 for detecting impacts or other damages. One or several of the status sensors 10 may further be configured as load cells, strain or stress gauges or the like to provide information about loads, strains or stress or general forces and/or moments at or within the vehicle components 1, e.g. in particular at the mounting points 7 at the positioner units 2. Due to these provisions, each vehicle component 1 may notify about impacts that have happened during service, acute load overloads and/or critical stresses or strains. The status data 12 assessed by the status sensors 10 may be communicated in real time in order to improve the production process.

(12) Each vehicle component 1 comprises a data storage 11 in communication with the status sensors 10. The data storage 11 is configured to store the status data 12 as well as identification and configuration data 13 of the respective vehicle component 1. Each vehicle component 1 is configured with a certain level of information processing capabilities besides a certain bandwidth of data communication capabilities, that is the vehicle components 1 are configured with networking capabilities. The vehicle components 1 thus not only can carry relevant information for the production process, but furthermore can assess and communicate status data 12 that might be helpful for the production. The data storage 11 may be provided in the form of a readable and/or writeable active data storage, like for example active or passive RFID-chips, SMART-tags, solid state memory's or similar means. The data storage 11 thus may serve as a self-updating data sheet comprising information about the configuration and current physical conditions of the vehicle component 1 as well as the assembly progress status and so on. These data may then be used in real time by the production system 50 to improve and speed-up the whole production process. Alternatively or additionally, the data storage 11 may also be provided outside of the vehicle components 1. In that case, the vehicle components 1 may be provided with a link from the vehicle components 1 to the data storage 11.

(13) In that sense the vehicle components 1 themselves are integrated as ‘active components’ in the production system 50 in a similar vein as the positioner units 2. The positioner units 2, the position-measurement system 4, the force sensors 5, the vehicle components 1, and so on, form a physical production system 9. The physical production system 9 is embedded into and controlled by a computer-based control system 30. Correspondingly, the method M further comprises under M6 communicating data between the computer-based control system 30 and the vehicle components 1 (including the status sensors 10 and data storages 11), the positioner units 2, the position-measurement system 4, and the force sensors 5. The data exchange itself is illustrated in FIG. 3 by arrows connecting the individual components of the physical production system 9 with the computer-based control system 30. The connection itself may be wireless or cable-based or may rely on any other suitable network and data-exchange technology. The physical production system 9 and the computer-based control system 30 together form a production system 50 in the form of a cyber-physical production system, i.e. a system composed of physical entities, which are controlled and monitored by a computer-based system on basis of computer algorithms. More specifically, the computer-based control system 30 includes a software-based multi-agent system 20 with multiple software agents that interact with corresponding entities in the physical environment. The multi-agent system 20 serves as a digital representation of the physical production system 9. In particular, the multi-agent system 20 of this embodiment includes software positioner agents 22, each of which is actively linked to an associated positioner unit 2. The positioner agents 22 and the positioner units 2 are actively linked in the sense that the computer-based control system 30 may actively control the positioner units 2 via the positioner agents 22 and the positioner units 2 in turn may interact with the computer-based control system 30. For this purpose, the positioner units 2 may have a certain level of information processing capabilities besides a certain bandwidth of data communication capabilities. The multi-agent system 20 further comprises vehicle-component agents 21 that together form the production model 24 of the vehicle (also represented as an agent within the multi-agent system 20), each vehicle component 1 being actively linked to an associated vehicle-component agent 21. A specific vehicle component 1 may be identified by the identification and configuration data 13 stored in its data storage 11. These data may include for example a unique ID number or the like. With this unique ID number, relevant product and configuration data 13 may be assigned to this particular vehicle component 1, which then defines the associated vehicle-component agent 21 used in the digital representation of the multi-agent system 20. For this purpose, the computer-based control system 30 may be connected to a respective database 8 or the like. The vehicle component 1 is hence actively linked to the associated vehicle-component agent 21 in the sense that the vehicle component 1 can be actively controlled by the computer-based control system 30, e.g. status sensors 10 can be read out or controlled and the respective status data 12 can be communicated. In addition, the vehicle component 1 may be controlled or moved by the computer-based control system 30 indirectly via the positioner units 2, which are connected to the respective positioner agents 22.

(14) Moreover, the method M comprises under M7 controlling the positioner units 2 with the computer-based control system 30 based on the determined status data 12, the determined assembly positions 3 and the determined reactions forces and/or moments of the vehicle components 1. More specifically, each positioner unit 2 may be controlled according to a deviation of the determined assembly position 3 of the respective vehicle component 1 from a nominal assembly position 3′ of the respective vehicle component 1. Furthermore, several or all positioner units 2 may be collectively controlled to minimize and/or otherwise optimize the deviations of the determined assembly positions 3 of the vehicle components 1 from the nominal assembly positions 3′ of the vehicle components 1. In particular, the deviations may be minimized and/or optimized under consideration of the determined status data 12 and the determined reaction forces and/or moments at the mounting points 7 of the vehicle components 1. For this the computer-based control system 30 may include or be connected to a simulation model 6, e.g. based on neural networks 23 that may, for example, represent the behavior of each positioner unit 2 and vehicle component 1.

(15) The improved automated assembly system according to the disclosure herein is based amongst others on the following features: automated assembly optimization through networking between vehicle components 1 and positioner units 2 within a production system 50; realization of networking between vehicle components 1 and positioner units 2 through a digitized representation of the physical production system 9 in the form of a multi-agent system 20; implementing the vehicle components 1 as active components in the assembly system; and assembly optimization via a machine learning process or simulation model, in particular a neural network 23. In conventional assembly or production systems, the decisions for manipulating the positioning process are to a large extend still handled by a human operator. The disclosure herein follows the new approach to let the system “learn” from former positing activities by creating a self-learning behavioral model of individual positioning system components. This behavioral model of the system components can be used for future positioning activities to make the right manipulations automatically. Advance computer algorithms can be utilized within the digital representation of the physical production system 9. Furthermore, the production system 50 will organize a negotiation between the agents in order to find optimized ways for adjusting the shape and position of each individual vehicle component 1 according to preferred parameters or given requirements, e.g. by minimizing deviations from nominal positions while keeping loads, stresses and strains below an upper limit or while optimizing the whole production process for a set of various parameters in order to find the ‘best’ way for saving and reducing lead time, minimizing built-in stresses, avoiding cracks and local overloads or other assembly problems. The components of the production system 50 may further interact with “smart tools”, like for example assembly robots for painting, drilling or the like, such that these are included actively in a self-optimizing multi-agent based control system, wherein the smart tools consider relevant feedback from the vehicle components 1 and the embedded sensors. In this vein many other processes may be transferred and optimized by an appropriate algorithm, like for example manufacturing processes (autoclave cycle, non-destructive testing etc.), assembly processes (drilling, riveting etc.), surface treatment processes (activation, painting etc.), handling processes (internal or external transport etc.), logistic processes (part localization etc.), structural health monitoring or (in-field) repair processes and so on.

(16) Various modifications and variants of the disclosure herein will be clear to the person of skill. Two examples are given in FIGS. 4A and 4B, which schematically show production systems 50 for the automated assembly of vehicle components 1 according to further embodiments of the disclosure herein. FIG. 4A shows a single assembly system with one physical production system 9 including vehicle components 1, a position-measurement system 4 and positioner units 2, which are controlled by a computer-based control system 30. The vehicle components 1, the position-measurement system 4 and the positioner units 2 interact with each other and with the computer-based control system 30. Based on dedicated machine learning algorithms run on the computer-based control system 30, the production system 50 may learn about the assembly process and optimize the positioning process based on this. FIG. 4B depicts an extended example of this. Here, two physical production systems 9 (e.g. each of them configured as the one in FIG. 4A) are connected with each other and are controlled jointly via the computer-based control system 30. In principle, the individual components of both physical production systems 9 may exchange data directly with each other. Thus, both assembly stations may learn together or individually about the assembly process and optimize the positioning process accordingly.

(17) In the foregoing detailed description, various features are grouped together in one or more examples or examples with the purpose of streamlining the disclosure. It is to be understood that the above description is intended to be illustrative, and not restrictive. It is intended to cover all alternatives, modifications and equivalents. Many other examples will be apparent to one skilled in the art upon reviewing the above specification.

(18) The embodiments were chosen and described in order to best explain the principles of the disclosure herein and its practical applications, to thereby enable others skilled in the art to best utilize the disclosure herein and various embodiments with various modifications as are suited to the particular use contemplated. Many other examples will be apparent to one skilled in the art upon reviewing the above specification.

(19) The subject matter disclosed herein can be implemented in software in combination with hardware and/or firmware. For example, the subject matter described herein can be implemented in software executed by a processor or processing unit. In one exemplary implementation, the subject matter described herein can be implemented using a computer readable medium having stored thereon computer executable instructions that when executed by a processor of a computer control the computer to perform steps. Exemplary computer readable mediums suitable for implementing the subject matter described herein include non-transitory devices, such as disk memory devices, chip memory devices, programmable logic devices, and application specific integrated circuits. In addition, a computer readable medium that implements the subject matter described herein can be located on a single device or computing platform or can be distributed across multiple devices or computing platforms.

(20) While at least one exemplary embodiment of the present invention(s) is disclosed herein, it should be understood that modifications, substitutions and alternatives may be apparent to one of ordinary skill in the art and can be made without departing from the scope of this disclosure. This disclosure is intended to cover any adaptations or variations of the exemplary embodiment(s). In addition, in this disclosure, the terms “comprise” or “comprising” do not exclude other elements or steps, the terms “a”, “an” or “one” do not exclude a plural number, and the term “or” means either or both. Furthermore, characteristics or steps which have been described may also be used in combination with other characteristics or steps and in any order unless the disclosure or context suggests otherwise. This disclosure hereby incorporates by reference the complete disclosure of any patent or application from which it claims benefit or priority.

LIST OF REFERENCE SIGNS

(21) 1 vehicle component

(22) 2 positioner unit

(23) 3 assembly position

(24) 3′ nominal assembly position

(25) 4 position-measurement system

(26) 5 force sensor

(27) 6 simulation model

(28) 7 mounting point

(29) 8 database

(30) 9 physical production system

(31) 10 status sensor

(32) 11 data storage

(33) 12 status data

(34) 13 identification and configuration data

(35) 20 multi-agent system

(36) 21 vehicle-component agent

(37) 22 positioner agent

(38) 23 neural network

(39) 24 production model

(40) 30 computer-based control system

(41) 50 production system

(42) 100 aircraft

(43) M method

(44) M1 method step

(45) M2 method step

(46) M3 method step

(47) M4 method step

(48) M5 method step

(49) M6 method step

(50) M7 method step