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神经网络PIDThecontrol | 邮电通讯系统 2022-07-29 53 0star收藏 版权: . 保留作者信息 . 禁止商业使用 . 禁止修改作品
水力发电机组是一个非线性、时变系统,常规PID控制不能到达较好的控制效果。提出了一种依据遗传算法、BP神经网络和BRF神经网络的智能PID控制方法。文中谈论了智能控制系统的结构,GA、BP、BRF的算法以及水电机组的数学模型。对水电机组选用智能PID控制器和常规PID控制器的动态特性进行了分析

(The hydroelectric generating set is a nonlinear and time-varying system, and the conventional PID control cannot achieve a better control effect. An intelligent PID control method based on genetic algorithm, BP neural network and BRF neural network is proposed. The structure of the intelligent control system, the algorithms of GA, BP, BRF and the mathematical model of the hydroelectric unit are discussed in this paper. The dynamic characteristics of intelligent PID controller and conventional PID controller selected for hydropower unit are analyzed)

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