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线性预测模型BP神经网络PID控制算法的研究

The Research of Linear Prediction Model BP Neural Network PID Control Algorithm
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摘要 针对经典PID控制参数整定困难和基本BP算法收敛速度慢、易陷入局部极小的缺点,提出一种基于线性预测模型BP神经网络的PID控制方法,重点阐述算法过程。最后在MATLAB软件上进行仿真,仿真结果表明该控制算法是有效的。 For the classic PID control parameters tuning difficulties and basic BP algorithm is slow convergence and easy to fall into local minimum of the shortcomings,this passage presents a linear prediction model based on BP neural network PID control method,focusing on the algorithm process.The programming steps under MATLAB are finally described.Simulation result shows that the control algorithm is effective.
作者 付正刚 唐军
出处 《现代机械》 2010年第5期30-32,共3页 Modern Machinery
关键词 线性预测模型 BP神经网络 PID 最小二乘法 linear prediction model BP neural network PID least square method
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