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Published on: November 24, 2021
Static output feedback based distributed robust model predictive control for parallel systems in process networks
Shuzhan Zhang1, Dongya Zhao1, Sarah K Spurgeon2
1Department of Chemical Equipment and Control Engineering, College of Chemical Engineering, China University of Petroleum (East China), Qingdao, China.
Abstract:
The parallel system is a fundamental system architecture frequently encountered in process networks. A distributed robust model predictive control strategy is formulated for parallel systems with unmeasured states, utilizing a static output feedback framework. Parallel system architectures typically incorporate coupling as well as constraints and these distinguishing features are directly addressed by the controller design approach. A non-convex control problem results which is first solved by linear matrix inequalities (LMIs). Then, the input to state stability (ISS) of the resulting system is demonstrated. The effectiveness of the proposed approach is verified by both numerical simulation and experimentation.
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