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Controller design based on μ analysis and PSO algorithm
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DOI：10.1016/j.isatra.2013.11.006.png)
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In this paper an evolutionary algorithm is employed to address the controller design problem based on mu analysis. Conventional solutions to mu synthesis problem such as D-K iteration method often lead to high order, impractical controllers. In the proposed approach, a constrained optimization problem based on mu analysis is defined and then an evolutionary approach is employed to solve the optimization problem. The goal is to achieve a more practical controller with lower order. A benchmark system named two-tank system is considered to evaluate performance of the proposed approach. Simulation results show that the proposed controller performs more effective than high order H-infinity controller and has close responses to the high order D-K iteration controller as the common solution to mu synthesis problem. (C) 2013 ISA. Published by Elsevier Ltd. All rights reserved.
Keyword:
Robust control
mu Synthesis problem
PSO
Structure-specified controller
Two-tank system
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