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Neural Network Control System of Luminance in the Artificial Climate Room Research

CHE Juan,YUAN Yan,ZHANG Tai-shan,SHEN Qun-tai(College of Information Science and Central South University,Changsha 410083,China)  
illumination system in the artificial climate room has the complex non-linearity,the uncertainty and the lag,so that the conventional control with difficulty can receive the better control effect.Adopting the neural network PID illumination control can recognize the system on-line and can control system.In order to overcome partially the smallest question,adopting the heredity algorithm optimizes the power and threshold value of the nerve network.The simulation result indicates,this control effect of the system is good,the response is quicker,the dynamic performance is good,the over modulation is smaller,the precision of stable state is high.It completely satisfies the control request.
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