Abstract
In this paper, a high-performance AC power conditioning is developed by using a robust intelligent controller. The moving sliding mode control (MSMC) ensures the sliding mode occurrence from an arbitrary initial state. Once a highly uncertain perturbation occurs, the MSMC has chatter problem, thus leading to high voltage distortion and performance deterioration of AC power conditioning. To weaken the chatter, the BPSO is employed to optimally tune the MSMC gains for achieving good steady state and transience. Using the proposed controller, the robustness of the AC power conditioning is effectively enhanced, and low distorted output voltage can be obtained against load disturbances. Experiments are given to demonstrate the efficacy of the proposed controller. Because the presented proposed controller provides better tracking exactness and convergence rate, this paper will be an applicable reference to the researchers of correlative robust control, evolutionary algorithm, and green energy applications.
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Acknowledgements
This work was supported by the Ministry of Science and Technology of Taiwan, R.O.C., under contract number MOST107-2221-E-214-006.
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Chang, EC., Wu, RC., Cheng, CA. (2019). An AC Power Conditioning with Robust Intelligent Controller for Green Energy Applications. In: Pan, JS., Lin, JW., Sui, B., Tseng, SP. (eds) Genetic and Evolutionary Computing. ICGEC 2018. Advances in Intelligent Systems and Computing, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-5841-8_32
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DOI: https://doi.org/10.1007/978-981-13-5841-8_32
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