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This example shows how to design active disturbance rejection control (ADRC) of the speed of a brushless DC (BLDC) motor modeled in Simulink® using Simscape™ Electrical™ components. In this example, you also compare the control performance of the ADRC controller with a PID controller.
22 wrz 2019 · In this post, we explain how to model a DC motor and to simulate control input and disturbance responses of such a motor using MATLAB’s Control Systems Toolbox. We obtain a state-space model of the system. This model is used in other lectures to demonstrate basic control principles and algorithms.
DC Motor Position: State-Space Methods for Controller Design. Key MATLAB commands used in this tutorial are: ss , order , det , ctrb , place , step. Contents. Designing the full state-feedback controller. Disturbance response. Adding integral action. From the main problem, the dynamic equations in state-space form are given below. (1) (2)
Contents. Physical setup. Create the motor model. Create a subsystem. Set up the controller. Effect of a constant disturbance. Physical setup. In this section, we show how to build the DC Motor model using the physical modeling blocks of the Simscape extension to Simulink.
This example shows the comparison of three DC motor control techniques for tracking setpoint commands and reducing sensitivity to load disturbances: feedforward command. integral feedback control. LQR regulation. See "Getting Started: Building Models" for more details about the DC motor model.
