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Chatter free sliding mode control of a chaotic coal mine power grid with small energy inputs 被引量:2
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作者 Xu Yanqing Jia Feng +2 位作者 Ma Caoyuan Mao Jiasong Zhang Shaowei 《International Journal of Mining Science and Technology》 2012年第4期477-481,共5页
An augmented proportional-integral sliding surface was designed for a sliding mode controller. A chatter free sliding mode control strategy for a chaotic coal mine power grid was developed. The stability of the contro... An augmented proportional-integral sliding surface was designed for a sliding mode controller. A chatter free sliding mode control strategy for a chaotic coal mine power grid was developed. The stability of the control strategy was proven by Lyapunov stability theorem. The proposed sliding mode control strategy eliminated the chattering phenomenon by replacing the sign function with a saturation function, and by replacing the constant coefficients in the reaching law with adaptive ones. An immune genetic algorithm was used to optimize the parameters in the improved reaching law. The cut-in time of the controllers was optimized to reduce the peak energy of their output. Simulations showed that the proposed sliding mode controller has good, chatter flee performance. 展开更多
关键词 Coal mine power gridChaosSliding mode controlChattering phenomenaEnergyImmune genetic algorithm
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ROBUST SLIDING MODE DECENTRALIZED CONTROL FOR A CLASS OF NONLINEAR INTERCONNECTED LARGE-SCALE SYSTEM WITH NEURAL NETWORKS
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作者 CHENMou JIANGChang-sheng CHENWen-hua 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2004年第4期304-310,共7页
A new decentralized robust control method is discussed for a class of nonlinear interconnected largescale system with unknown bounded disturbance and unknown nonlinear function term. A decentralized control law is pro... A new decentralized robust control method is discussed for a class of nonlinear interconnected largescale system with unknown bounded disturbance and unknown nonlinear function term. A decentralized control law is proposed which combines the approximation method of neural network with sliding mode control. The decentralized controller consists of an equivalent controller and an adaptive sliding mode controller. The sliding mode controller is a robust controller used to reduce the track error of the control system. The neural networks are used to approximate the unknown nonlinear functions, meanwhile the approximation errors of the neural networks are applied to the weight value updated law to improve performance of the system. Finally, an example demonstrates the availability of the decentralized control method. 展开更多
关键词 nonlinear large-scale systems neural networks sliding mode control decentralized control
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