Adaptive Inverse Control of Excitation System with Actuator Uncertainty |
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Authors: | Xiao Fang Yuan Yao Nan Wang Liang Hong Wu |
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Affiliation: | (1) College of Electrical and Information Engineering, Hunan University, Changsha, Hunan, 410082, P.R. China |
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Abstract: | In this paper, we present a new approach of designing adaptive inverse controller for synchronous generator excitation system
containing nonsmooth nonlinearities in actuator device. The proposed controller considers not only the dynamics of generator
but also nonlinearities in actuator. To address such a challenge, support vector machines (SVM) is adopted to identify the
plant and to construct the inverse controller. SVM networks, used to compensate nonlinearities in synchronous generator as
well as in actuator, are adjusted online by an adaptive law via back propagation (BP) algorithm. To guarantee convergence
and for fast learning, adaptive learning rate and convergence theorem are developed. Simulation results are given, showing
satisfactory control performance and illustrate the potential of the proposed adaptive inverse controller as useful for practical
purpose. |
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Keywords: | Nonlinear control Inverse system Support vector machines Adaptive control System identification Actuator uncertainty |
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