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CMAC改进算法在电动负载模拟器的应用
引用本文:王刚,李建府,朱荣刚.CMAC改进算法在电动负载模拟器的应用[J].电光与控制,2011,18(4):72-76.
作者姓名:王刚  李建府  朱荣刚
作者单位:王刚,朱荣刚,WANG Gang,ZHU Ronggang(光电控制技术重点实验室,河南,洛阳,471009);李建府,LI Jianfu(西北工业大学航天学院,西安,710072)
摘    要:在电动负载模拟器的控制系统设计中,其参数优化一般需要大量试验.根据负载模拟器的工作原理建立了伺服电机的数学模型,在分析CMAC神经网络控制结构的基础上,引入了更新系数和补偿环节,提出了一种基于CMAC神经网络的改进算法.对各控制参数进行了寻优,获得了参数的选择域.通过对系统的数字仿真表明,该方法可稳定地跟踪非线性输入,...

关 键 词:电动负载模拟器  CMAC神经网络  参数最优  自适应

Application of an Improved Arithmetic Based on CMAC in Electrical Load Simulator
WANG Gang,LI Jianfu,ZHU Ronggang.Application of an Improved Arithmetic Based on CMAC in Electrical Load Simulator[J].Electronics Optics & Control,2011,18(4):72-76.
Authors:WANG Gang  LI Jianfu  ZHU Ronggang
Affiliation:WANG Gang1,LI Jianfu2,ZHU Ronggang1(1.Science and Technology on Electro-Optic Control Laboratory,Luoyang 471009,China,2.College of Astronautics,Northwestern Polytechnical University,Xi'an 710072,China)
Abstract:In the design of the control system for motor-driven load simulator,the optimal controller parameters are generally determined through lots of experiments.Based on analysis to the operating principle of the electric load simulator,the mathematic model of its servo motor was constructed.Then,control structure of CMAC neural network was studied,and renewed coefficients and compensatory segment were introduced.An improved arithmetic based on CMAC neural network was proposed to optimize each parameter,and the d...
Keywords:load simulator  CMAC neural network  parameter optimization  self adaptation  
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