期刊
出版社
WILEY
DOI: 10.1002/jnm.2835
关键词
Kriging; robust design; simulation experiments; stochastic PID controller; uncertainty management
资金
- Second Century Fund (C2F), Chulalongkorn University, Bangkok
This paper presents a surrogate-based robust simulation-optimization approach for tuning and analyzing the sensitivity of stochastic controllers. The results confirm a proper trade-off between performance and robustness in the controllers.
This paper aims to make a trade-off between performance and robustness in stochastic control systems with probabilistic uncertainties. For this purpose, we develop a surrogate-based robust simulation-optimization approach for robust tuning and analyzing the sensitivity of stochastic controllers. Kriging surrogate is combined with robust design optimization to construct a robust simulation-optimization model in the class of dual response surfaces. Randomness in simulation experiments due to uncertainty is analyzed through bootstrapping technique by computing confidence regions for the estimation of Pareto frontier. Results confirmed a proper trade-off between the model's performance with the measure of expected Integral Squared Error (ISE) and robustness against uncertainty in the plant's physical parameters. Finally, the proposed method is evaluated in terms of accuracy, computational cost, and simplicity particularly in comparison with some common existed techniques in the tuning of the Proportional-Integral-Derivative (PID) and Fractional-Order PID (FOPID) controllers.
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