Optimal Control for a Class of Complex Singular System Based on Adaptive Dynamic Programming

Zhan Shi; Zhanshan Wang

doi:10.1109/JAS.2019.1911342

Volume 6 Issue 1

Jan. 2019

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 15.3, Top 1 (SCI Q1)

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2019 > 6(1): 188-197

Zhan Shi and Zhanshan Wang, "Optimal Control for a Class of Complex Singular System Based on Adaptive Dynamic Programming," IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 188-197, Jan. 2019. doi: 10.1109/JAS.2019.1911342

Citation:

Zhan Shi and Zhanshan Wang, "Optimal Control for a Class of Complex Singular System Based on Adaptive Dynamic Programming," IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 188-197, Jan. 2019. doi: 10.1109/JAS.2019.1911342

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Optimal Control for a Class of Complex Singular System Based on Adaptive Dynamic Programming

doi: 10.1109/JAS.2019.1911342

Zhan Shi^{1, 2
,},
Zhanshan Wang^{1, 2
,
,}

1.
College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
2.
State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University), Shenyang 110819, China

Funds:

the National Natural Science Foundation of China 61473070

the National Natural Science Foundation of China 61433004

the National Natural Science Foundation of China 61627809

SAPI Fundamental Research Funds 2018ZCX22

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Abstract

Abstract

This paper presents a new design approach to achieve decentralized optimal control of high-dimension complex singular systems with dynamic uncertainties. Based on robust adaptive dynamic programming (robust ADP) method, controllers for solving the singular systems optimal control problem are designed. The proposed algorithm can work well when the system model is not exactly known but the input and output data can be measured. The policy iteration of each controller only uses their own states and input information for learning, and do not need to know the whole system dynamics. Simulation results on the New England 10-machine 39-bus test system show the effectiveness of the designed controller.
- Adaptive dynamic programming (ADP),
- decentralized control,
- frequency control,
- power system,
- singular systems

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References(43)

References

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Optimal Control for a Class of Complex Singular System Based on Adaptive Dynamic Programming

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