A method of designing a control device that controls a controlled variable of a plant to a set point, the control device including a feedback control system for outputting a manipulated variable of the plant based on an output of a feedback controller and a disturbance estimation value, including a step of selecting one of a first order transfer function, a second order transfer function, a third order transfer function, a first order and time delay transfer function, a second order and time delay transfer function, and a third order and time delay transfer function as a transfer function of the nominal plant in accordance with characteristics of the plant; and a step of determining a transfer function of the feedback controller based on a gain and time constant of the nominal plant.

An example actuator control system includes an actuator, a plurality of motors configured to cooperatively operate the actuator, and a controller. The controller is configured to determine an output signal for controlling active ones of the motors during a current update cycle based on a first gain value, an integral contribution from the current update cycle, and an integral contribution from a preceding update cycle. The controller is configured to, based on a quantity of the motors that is active differing between the current and preceding update cycles, scale the integral contribution from the preceding update cycle for the output signal determination based on the first gain value and a second gain value from the preceding update cycle. A method of controlling a plurality of actuator motors is also disclosed.

Control signals, such as PWM control signals, can be used to control aspects of a cooling system and can be generated using proportional-integral-derivative (PID) control. PID control systems for cooling systems are designed based on default environmental and system characteristics and pre-programmed for operation prior to delivery to customers or end users. Changes in environmental and system characteristics, such as component aging, environmental variations, and variation in manufacturing from system to system, such as heat sink effectiveness and application of thermal pastes, can impact system level performance of the control system. Adjusting gain parameters for the P, I, and D components of a PID control signal can reduce negative impact on system performance resulting from such changes and allow the control system to better adjust to external factors.

A controller for controlling wireless command transmission to a robotic device is described. The controller is configured to obtain an action that is to be performed by a robotic device and to determine a quality of control, QoC, level that is associated with the action. The controller is further configured to trigger a setting of at least one transmission parameter for a wireless transmission of a command pertaining to the action. The transmission parameter setting is dependent on the QoC level determined for the action.

A battery system may include: a battery pack including a plurality of battery cells; and a battery management system configured to derive a charging rate based on a charging target state of charge (SOC) for the battery pack and the temperature of the battery pack, and compensate for the charging rate through proportional-integral-derivative (PID) control based on an error voltage between any one of a plurality of cell voltages of the plurality of battery cells and an open circuit voltage (OCV) corresponding to the charging target SOC to generate a compensation charging rate.

A method for controlling a heated process of a heater includes: obtaining a target temperature; identifying a first amount of electrical energy based on a prediction that the first amount of electrical energy is sized to cause a temperature of the heated process to reach the target temperature, wherein the first amount of electrical energy is indicative of one or more wattage, the first amount of electrical energy is indicative of a quantity of time that the one or more wattage is applied to the heater, and the prediction is based on an energy profile associated with the heater; and providing the one or more wattage to the heater for a portion of the quantity of time.

In one embodiment, an autonomous driving vehicle (ADV) steering control system determines how much and when to apply a steering control to maneuver obstacles of a planned route. The steering control system calculates a first steering angle based on a target directional angle and an actual directional angle of the ADV, a second steering angle based on a target lateral position and an actual lateral position of the ADV to maneuver a planned route, an object, or an obstacle course. The steering control system determines a target steering angle based on the first steering angle and the second steering angles and utilizes the target steering angle to control a subsequent steering angle of the ADV.

Control signals, such as PWM control signals, can be used to control aspects of a cooling system and can be generated using proportional-integral-derivative (PID) control. PID control systems for cooling systems are designed based on default environmental and system characteristics and pre-programmed for operation prior to delivery to customers or end users. Changes in environmental and system characteristics, such as component aging, environmental variations, and variation in manufacturing from system to system, such as heat sink effectiveness and application of thermal pastes, can impact system level performance of the control system. Adjusting gain parameters for the P, I, and D components of a PID control signal can reduce negative impact on system performance resulting from such changes and allow the control system to better adjust to external factors.

In one embodiment, an autonomous driving vehicle (ADV) steering control system determines how much and when to apply a steering control to maneuver obstacles of a planned route. The steering control system calculates a first steering angle based on a target directional angle and an actual directional angle of the ADV, a second steering angle based on a target lateral position and an actual lateral position of the ADV to maneuver a planned route, an object, or an obstacle course. The steering control system determines a target steering angle based on the first steering angle and the second steering angles and utilizes the target steering angle to control a subsequent steering angle of the ADV.

A target generating unit outputs a target value signal of a control target, and a position encoding processing unit outputs a position detection signal of the control target. A PID compensator calculates a control amount for causing the control target to follow a target position based on a difference signal between the target value signal and the position detection signal, and outputs it to an adding unit. A disturbance estimation observer outputs the result of estimation of disturbance to the adding unit. The adding unit adds the control amount output of the PID compensator to the output of the disturbance estimation observer to calculate a total control amount. A storage unit stores a control amount during position control to a fixing position as an attitude difference correction amount, and the disturbance estimation observer performs disturbance estimation using a control amount obtained by subtracting a value stored in the storage unit during position control to a moving position from the total control amount.