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- W2380422023 abstract "Aiming at the problem that traditional PID control algorithm is difficult to get ideal control effect,a PID control algorithm based on BP neural network is proposed.According to the structure and characteristic of BP neural network,the construction of PID controller and the description of improved BP neural network algorithm were introduced at first.Then,on the basis of the least square method and neural network prediction model of controlled object,the weight adjustment algorithm of PID was improved by replacing the measured values of BP network with calculated forecast output.Through simulation examples,the results show that the improved BP neural network PID controller has good control performance,strong anti-interference and self-adjustment,,enhancing system robustness, better than conventional PID controller based on BP neural network." @default.
- W2380422023 created "2016-06-24" @default.
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- W2380422023 date "2012-01-01" @default.
- W2380422023 modified "2023-09-23" @default.
- W2380422023 title "PID Control Algorithm Based on Improved BP Neural Network" @default.
- W2380422023 hasPublicationYear "2012" @default.
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