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Design of Brain Emotional Learning Model Based Turntable Servo System

Zhen Ziyang Wang Daobo Wang Zhisheng(College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016)   

  • Online:2009-02-25
  • Supported by:
    国家自然科学基金(60874037);; 教育部高等学校博士点科研基金(20070287050);; 南京航空航天大学博士学位论文创新与创优基金(BXCJ08-06);; 江苏省普通高校研究生科研创新计划项目(CX08B-091Z)

Abstract: Brain emotional learning(BEL) model based intelligent controller for a turntable servo system with high precision is presented.BEL model is a bio-computational model inspired by the emotional learning mechanism in mammalians brain.BEL based intelligent controller is designed by fusing the information of system tracking error,control variables and etc.Different control structure can be designed by selecting different sensory input signals,and controller parameters are adjusted by online learning the nodes weights in BEL model based on an associative learning method,and then the adaptive tracking control of the turntable servo system is realized.Simulation and experimental results show that the BEL based intelligent controller has strong learning ability,and can restrain the nonlinear factors such as friction,and exhibits good stability and high tracking precision in application of the real-time control system.