Distributed predictive control of interconnected systems based on disturbance observation. Issue 19 (22nd February 2021)

• Record Type: Journal Article
• Authors: Zhou, Wei; Zhang, Wen‐An; Liu, Andong
• Is Part Of: IET control theory & applications. Volume 14:Issue 19(2020)
• Page Start: 3260
• Page End: 3269
• Publication Date: 2021-02-22
• Subjects: ships -- pole assignment -- compensation -- feedforward -- stability -- decentralised control -- control system synthesis -- distributed control -- interconnected systems -- closed loop systems -- observers -- predictive control; input‐to‐state stability -- closed‐loop system -- ship engine room power system -- distributed predictive control -- disturbance observation -- distributed model predictive control method -- extended state observer -- large‐scale interconnected systems -- reduced state‐space decomposition strategy -- internal state -- external state -- communication burden -- local optimisation -- receding optimisation strategy -- reduced state‐space decomposition iterative algorithm -- disturbance rejection capability -- pole assignment method -- feedforward compensation strategy -- composite controller -- compensation controller; Control theory -- Periodicals; Automatic control -- Periodicals; 629.8312
• DOI: 10.1049/iet-cta.2019.0683
• Languages: English
• ISSNs: 1751-8644

Abstract

Abstract : In this study, a distributed model predictive control (MPC) method based on extended state observer is proposed for a class of large‐scale interconnected systems by using a reduced state‐space decomposition strategy. Firstly, the full state of the system is divided into internal state and external state to decrease computation and communication burden, where the former one is used for local optimisation, and the latter one is used to exchange with its neighbours. Based on the receding optimisation strategy, a reduced state‐space decomposition iterative algorithm is proposed, and the convergence of the proposed algorithm is given. To improve the disturbance rejection capability of the system, an extended state observer is designed to estimate the disturbance by using a pole assignment method. By applying a feedforward compensation strategy, a composite controller is derived by combining with local MPC controller and compensation controller, then the input‐to‐state stability is analysed for the closed‐loop system. Finally, an example of a ship engine room power system is given to demonstrate the effectiveness of the proposed method.