Journal of Jilin University(Information Science Ed

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Design and Implementation of Constrained Predictive Control Based on Brush DC Motor

LI Zongli a,b , XU Fang b , LIANG Dinan b , CHEN Hong a,b   

  1. a. State Key Laboratory of Automotive Simulation and Control; b. College of Communication
    Engineering, Jilin University, Changchun 130022, China
  • Received:2016-10-25 Online:2017-09-29 Published:2017-10-23

Abstract: In order to solve the problem of physical constraints of the DC(Direct-Current), an MPC (Model
Predictive Control) controller tracks the speed of brush DC motor. Based on the established motor model, the
MPC controller is designed to track the expected speed if the brush DC motor, the formed QP(Quadratic
Programming) problem is solved by path-following method. A real-time simulation platform is built to verify the
controller. The result shows that the MPC controller has good controlling performance.

Key words: path-following method, hardware-in-the-loop (HIL) testing platform,  model predictive control, brush direct-current (DC) motor

CLC Number: 

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