Sub-optimal control design of a semi-active vibration reduction system

Abstract

This paper considers the vibration reduction of transportation systems using semi-active actuators to improve the ride quality. Control design for the resultant semi-active system is difficult for nonlinear dynamics, constrained control, lack of performance-oriented nonlinear control design, and limited state information. A sub-optimal control structure is proposed to address the performance requirement by mimicking the optimal control. A specific sub-optimal control is provided and implemented with one measurement to reduce the hardware cost. Performance analysis of the sub-optimal control is investigated. The semi-active system with the suboptimal control is simulated to demonstrate the effectiveness. American Control Conference (ACC)This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Sub-optimal control design of a semi-active vibration reduction system Yebin Wang and Kenji UtsunomiyaAbstract-This paper considers the vibration reduction of transportation systems using semi-active actuators to improve the ride quality. Control design for the resultant semi-active system is difficult for nonlinear dynamics, constrained control, lack of performance-oriented nonlinear control design, and limited state information. A sub-optimal control structure is proposed to address the performance requirement by mimicking the optimal control. A specific sub-optimal control is provided and implemented with one measurement to reduce the hardware cost. Performance analysis of the sub-optimal control is investigated. The semi-active system with the suboptimal control is simulated to demonstrate the effectiveness.