Parameter Tuning of Multi-Proportional-Integral-Derivative Controllers Based on Optimal Switching Algorithms

Xiang Wu (), Kanjian Zhang () and Changyin Sun ()
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Xiang Wu: Southeast University
Kanjian Zhang: Southeast University
Changyin Sun: Southeast University

Journal of Optimization Theory and Applications, 2013, vol. 159, issue 2, No 9, 454-472

Abstract: Abstract Under the framework of switched systems, this paper considers a multi-proportional-integral-derivative controller parameter tuning problem with terminal equality constraints and continuous-time inequality constraints. The switching time and controller parameters are decision variables to be chosen optimally. Firstly, we transform the optimal control problem into an equivalent problem with fixed switching instants by introducing an auxiliary function and a time-scaling transformation. Because of the complexity of constraints, it is difficult to solve the problem by conventional optimization techniques. To overcome this difficulty, a novel exact penalty function is introduced for these constraints. Furthermore, the penalty function is appended to the cost functional to form an augmented cost functional, giving rise to an approximate nonlinear parameter optimization problem that can be solved using any gradient-based method. Convergence results indicate that any local optimal solution of the approximate problem is also a local optimal solution of the original problem as long as the penalty parameter is sufficiently large. Finally, an example is provided to illustrate the effectiveness of the developed algorithm.

Keywords: Parameter tuning; Multi-proportional-integral-derivative controllers; Optimal control; Switched systems; Inequality constraints (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/s10957-013-0306-8

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