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Energy Management of Battery Energy Storage System Based on Adaptive Integral Sliding Mode Constrained Control |
Zhang Weiming, Xu Dezhi, Yan Wenxu, Zhu Yixin, Lou Xuyang |
College of Internet of Things Engineering Jiangnan University Wuxi 214122 China |
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Abstract Aiming at energy management problem in battery energy storage system, a model-free adaptive integral sliding mode control strategy based on input and output data was proposed. Firstly, an adaptive observer was designed to estimate the pseudo partial derivative parameter in the dynamic linearization method. Then, the integral sliding surface of the discrete system was constructed, and the feedback control law and equivalent control law were designed to track the dasired output power. In order to solve the problem of integral saturation and actuator saturation in the control system, the compensation signal was added to the anti-windup control algorithm, and the stability of the control algorithm was proved. Finally, the effectiveness and superiority of the control method on the nonlinear discrete system were verified by simulation and comparison with the model-free adaptive control strategy.
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Received: 14 March 2018
Published: 29 March 2019
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