Enhanced performance controller design for stochastic systems by adding extra state estimation onto the existing closed loop control

Zhou, Yuyang; Zhang, Qichun; Wang, Hong

Abstract

To enhance the performance of the tracking property, this paper presents a novel control algorithm for a class of linear dynamic stochastic systems with unmeasurable states, where the performance enhancement loop is established based on Kalman filter. Without changing the existing closed loop with the PI controller, the compensative controller is designed to minimize the variances of the tracking errors using the estimated states and the propagation of state variances. Moreover, the stability of the closed-loop systems has been analyzed in the mean-square sense. A simulated example is included to show the effectiveness of the presented control algorithm, where encouraging results have been obtained.

Citation

Zhou, Y., Zhang, Q., & Wang, H. (2016, August). Enhanced performance controller design for stochastic systems by adding extra state estimation onto the existing closed loop control. Presented at 2016 UKACC 11th International Conference on Control (CONTROL), Belfast, United Kingdom

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2016 UKACC 11th International Conference on Control (CONTROL)
• Start Date: Aug 31, 2016
• End Date: Sep 2, 2016
• Online Publication Date: Nov 10, 2016
• Publication Date: 2016
• Deposit Date: Dec 9, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: 2016 UKACC 11th International Conference on Control (CONTROL)
• DOI: https://doi.org/10.1109/control.2016.7737531
• Keywords: stochastic distribution control, linear stochastic systems, Kalman filter, enhanced PI controller
• Public URL: http://researchrepository.napier.ac.uk/Output/2817809