Performance assessment for robust model predictive control systems
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Performance assessment for robust model predictive control systems
CIESC JournalIssue 7, Pages: 1859-1862(2008)
作者机构:
上海交通大学自动化系
作者简介:
基金信息:
DOI:
CLC:
Online First:05 July 2008,
Published:05 July 2008
稿件说明:
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ZHANG Xuelian, HU Lisheng, CAO Guangyi. Performance assessment for robust model predictive control systems[J]. CIESC Journal, 2008, (7): 1859-1862.
DOI:
ZHANG Xuelian, HU Lisheng, CAO Guangyi. Performance assessment for robust model predictive control systems[J]. CIESC Journal, 2008, (7): 1859-1862.DOI:
Performance assessment for robust model predictive control systems
The benchmark is an essential issue of the performance assessment problem of the control systems. In this paper,the authors extend the theories of fundamental design limitations to model predictive control(MPC)systems to establish a performance benchmark. Considering constraints on the frequency domain explicitly,an output feedback robust model predictive controller was developed for the multi-input/multi-output systems with disturbances. The feedback controller developed could be explicitly set up,without online optimization. With this controller the closed-loop systems reached the limit of control performance,so that it could be served as the benchmark controller to assess the other MPC’s using the process routine data. The performance index was established. A performance assessment procedure was proposed for evaluating the other MPC systems. Numerical example well demonstrated the proposed performance assessment procedure.