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基于线性预测模型的神经网络模糊PID控制 被引量:1

Neural network-fuzzy PID control based on linear prediction model
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摘要 结合传统PID控制原理、神经网络技术、模糊控制技术及预测控制技术,提出了一种新型控制器结构。给出了在线调整PID参数的方法。仿真结果表明,基于线性预测模型的神经网络模糊PID控制使系统具有较好的鲁棒性。 Combined with the traditional PID control theory,neural network,fuzzy control and prediction control technique, a new structure of controller was presented, the method was designed, which PID parameter can be adjusted online. The simulation results indicate that neural network-fuzzy PID control owns good robustness.
出处 《机电工程》 CAS 2007年第2期62-64,73,共4页 Journal of Mechanical & Electrical Engineering
关键词 模糊控制 神经网络 线性预测 比例积分微分 fuzzy control neural network linear prediction proportional-integral-differential(PID)
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