【摘要】 针对目前带钢厚度控制精度低,不能满足生产要求的问题,将模糊神经网络与仿人智能控制有机结合,设计了一种基于模糊神经网络参数整定的热轧带钢厚度仿人智能控制策略,利用模糊神经网络对仿人智能控制器的参数进行了整定。Matlab仿真结果表明:基于模糊神经网络参数整定的仿人智能控制优于PID控制,为解决复杂工业过程的控制提供了一种新的、有效的方法。更多还原

【Abstract】 Aiming at problem of low control precision and cannot meet requirement of production of strip thickness,combines fuzzy neural network with human-simulated intelligent control technology,design humansimulated intelligent control strategy of hot rolled strip steel thickness based on fuzzy neural network parameters setting,correct human-simulated intelligent controller parameters using fuzzy neural network.The simulation experiment result by Matlab shows that the human-simulated intelligent control method which based on fuzzy neural network has a better performance compared with PID control,it can provide a new effective method for the control of complex industrial process.更多还原