An LPV/MPC engine control system is disclosed that includes an engine control unit connected to multiple sensors. The engine control unit receives, from the sensors, signals indicative of desired engine torque and engine torque output, and determines, from these signals, optimal engine control commands using a piecewise LPV/MPC routine. This routine includes: determining a nonlinear and a linear system model for the engine assembly, minimizing a control cost function in a receding horizon for the linear system model, determining system responses for the nonlinear and linear system models, determining if a norm of an error function between the system responses is smaller than a calibrated threshold, and if the norm is smaller than the predetermined threshold, applying the linearized system model in a next sampling time for a next receding horizon to determine the optimal control command. Once determined, the optimal control command is output to the engine assembly.

A combustion engine with at least one injector for the injection of liquid fuel into at least one combustion chamber is provided. The injector can be regulated by means of a regulating device through an actuator triggering signal, wherein the at least one injector has an outlet opening that can be closed by means of a needle. An algorithm is contained in the regulating device, which receives as an input value at least the actuator trigger signal, and which calculates via an injector model the mass of liquid fuel transferred via the outlet opening of the injector. The regulating device compares by means of the injector model, the calculated mass with a required target value ref of the mass of liquid fuel, to correct the actuator trigger signal.

An LPV/MPC engine control system is disclosed that includes an engine control unit connected to multiple sensors. The engine control unit receives, from the sensors, signals indicative of desired engine torque and engine torque output, and determines, from these signals, optimal engine control commands using a piecewise LPV/MPC routine. This routine includes: determining a nonlinear and a linear system model for the engine assembly, minimizing a control cost function in a receding horizon for the linear system model, determining system responses for the nonlinear and linear system models, determining if a norm of an error function between the system responses is smaller than a calibrated threshold, and if the norm is smaller than the predetermined threshold, applying the linearized system model in a next sampling time for a next receding horizon to determine the optimal control command. Once determined, the optimal control command is output to the engine assembly.

A method for predictive open-loop and/or closed-loop control of an internal combustion engine with control variables pursuant to a model of the engine with characterizing variables and a control circuit for the control variables. The control variables are adjusted in an open-loop or closed-loop manner by measuring actual values and specifying target values of the characterizing variables and, optionally, depending on the boundary and/or environmental and/or ageing conditions. The characterizing variables are controlled pursuant to a model of the engine with the characterizing variables and a control circuit with the control variables. The controlling is part of a model-based predictive control, wherein the characterizing variables of the engine model are calculated and the control variables of the engine are adjusted in a predictively controlled manner. A model-based predictive non-linear controller is used for the controlling, which is constructed in a modular manner with a number of model-based predictive control modules.

A method for determining an injection quantity of a fuel injector determines a first time at which an injection process of the fuel injector starts, a second time at which the injection process of the fuel injector ends, calculates a model on the basis of the first time and the second time, which model represents the position of a nozzle needle of the fuel injector as a function of the time, and calculates the quantity of fuel to inject.

An LPV/MPC engine control system is disclosed that includes an engine control unit connected to multiple sensors. The engine control unit receives, from the sensors, signals indicative of desired engine torque and engine torque output, and determines, from these signals, optimal engine control commands using a piecewise LPV/MPC routine. This routine includes: determining a nonlinear and a linear system model for the engine assembly, minimizing a control cost function in a receding horizon for the linear system model, determining system responses for the nonlinear and linear system models, determining if a norm of an error function between the system responses is smaller than a calibrated threshold, and if the norm is smaller than the predetermined threshold, applying the linearized system model in a next sampling time for a next receding horizon to determine the optimal control command. Once determined, the optimal control command is output to the engine assembly.

This control device is configured to, based on a premise that an operating condition of a plant is a specific operating condition that is defined in advance, search for a virtual current value of a controlled variable for ensuring that a specific state quantity does not conflict with a constraint in the future using a prediction model, set the virtual current value which was found by the search to a target value of the controlled variable, and determine a manipulated variable of the plant so that an actual current value of the controlled variable approaches the target value. Due to this configuration, even if the operating condition of the plant suddenly changes to the specific operating condition, the controlled variable of the plant can be adjusted in advance so that the specific state quantity in the specific operating condition does not conflict with the constraint.

A method for evaluating abnormal combustion events of an internal combustion engine of a motor vehicle by regression calculation of a physical reference variable, in which method a recognition variable of the abnormal combustion event is calculated from a measured sensor signal. In a method with which abnormal combustion processes of the internal combustion engine can be reliably recognized and classified at all operating points, a stepwise system is used for regression calculation of the recognition variable, in which system at least one reference variable that corresponds to a measured reference variable of the sensor signal is calculated from the sensor signal.

A two-stage air charging system for an internal combustion engine with mixed exhaust gas recirculation includes a high pressure exhaust gas recirculation loop, a low pressure exhaust gas recirculation loop, an air throttle system, a turbo air charging system, and an electric air charging system. A method to control the system includes monitoring desired operating target commands and operating parameters. Feedback control signals are determined based upon the monitored desired operating target commands and the monitored operating parameters. The two-stage air charging system is controlled based on system control commands for each of the high pressure exhaust gas recirculation loop, the low pressure exhaust gas recirculation loop, the air throttle system, the turbo air charging system and the electric air charging system.

An apparatus for controlling a high pressure common rail system of a diesel engine includes an operation condition parameter acquiring module configured to acquire operation condition parameters associated with the high pressure common rail system; a control quantity determining module coupled with the operation condition parameter acquiring module and configured to determine a control quantity for controlling the high-pressure common rail system based on the operation condition parameters, a target value of the fuel pressure within a high pressure common rail tube cavity and a control model designed based on a system physical model, wherein the control quantity is an equivalent cross-section area of the electromagnetic valve of a flow metering unit; and a drive signal determining module coupled to the control quantity determining module and configured to determine a drive signal for driving the flow metering unit based on the determined control quantity.