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基于神经网络实现的PID控制器
引用本文:李春香,钟碧良,毛宗源. 基于神经网络实现的PID控制器[J]. 石油化工高等学校学报, 1999, 12(2): 78-80,84
作者姓名:李春香  钟碧良  毛宗源
作者单位:1. 广东石油化工高等专科学校,广东茂名,525000
2. 华南理工大学自动控制系,广东广州,510641
摘    要:介绍了一种基于神经网络自学习PID控制器。该控制器不仅具有自学习自适应能力,而且具有自调整比例因子功能。实验表明,该控制器能够提高温度控制系统的动态特性和对环境的鲁棒性。

关 键 词:神经网络;自适应;PID控制;稳定性

Self-Turning PID Controller Based on the Realization of Neural Networks
Li Chunxiang,Zhong Biliang,Mao Zhongyuan. Self-Turning PID Controller Based on the Realization of Neural Networks[J]. Journal of Petrochemical Universities, 1999, 12(2): 78-80,84
Authors:Li Chunxiang  Zhong Biliang  Mao Zhongyuan
Abstract:A self-adaptive PID controller based on neural network is introduced in this paper. It has not only the learning ability and the adaptability, but also the self-adjusting factor function. Digital simulation and experiment results show that this new controller can improve the dynamic performance of temperature regulation system and robustness.
Keywords:Neural network  Self-adaptive  PID control  Stabilization
本文献已被 CNKI 维普 万方数据 等数据库收录!
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