Modeling and Simulation of LQR Control for DC Motor

Abstract:

A control system for DC motor should be designed to meet the desired performance objectives with the smallest control energy. LQR controller can satisfy the requirement. In this paper, the state space model of DC motor control system is proposed. The key problem to apply LQR controller is to choose the correct weighted matrix Q and R of performance index. At present, there is no formulaic approach for this problem. This kind of LQR controller based on PSO algorithms, which can obtain satisfying control results, is presented for DC motor control system. Using Matlab 7.1, the simulation of the DC motor control system is implemented. The simulation results of it confirm that the LQR controller can reduce steady state error, improve response speed, and resist power supply disturbance.

• Periodical: Applied Mechanics and Materials (Volumes 668-669)
• Pages: 486-489
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.668-669.486
• Online since: October 2014
• Authors: Qiang He*
• Keywords: Fitness Function, Linear Quadratic Regulator (LQR), Particle Swarm Optimization (PSO), State Variables

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