| 基于模糊神经网络的遥控武器站伺服系统PID控制器 |
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| 引用本文： | 毛保全,汪凡,徐礼,徐冰川. 基于模糊神经网络的遥控武器站伺服系统PID控制器[J]. 兵工自动化, 2010, 29(9): 75-78. DOI: 10.3969/j.issn.1006-1576.2010.09.022 |
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| 作者姓名： | 毛保全 汪凡 徐礼 徐冰川 |
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| 作者单位： | 装甲兵工程学院,兵器工程系,北京,100072;装甲兵工程学院,兵器工程系,北京,100072;装甲兵工程学院,兵器工程系,北京,100072;装甲兵工程学院,兵器工程系,北京,100072 |
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| 摘 要： | 针对遥控武器站伺服系统具有间隙、摩擦等非线性、不确定性特征,将PID控制与模糊神经网络进行有机结合。利用多层神经网络提取模糊控制规则,构建模糊神经网络控制器,根据偏差E和偏差变化EC在线调整PID控制器的三个参数。仿真试验表明,该控制器具有PID控制器精度高,以及模糊神经网络控制器响应速度快、超调小、稳定性高的特点,具有良好的动、稳态特性。
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| 关 键 词： | 遥控武器站伺服系统 非线性 模糊神经网络PID控制 参数自整定 |
| 收稿时间： | 2010-11-09 |
PID Controller of Robot Weapon Station Servo System |
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| Mao Baoquan,Wang Fan,Xu Li,Xu Bingchuan. PID Controller of Robot Weapon Station Servo System[J]. Ordnance Industry Automation, 2010, 29(9): 75-78. DOI: 10.3969/j.issn.1006-1576.2010.09.022 |
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| Authors: | Mao Baoquan Wang Fan Xu Li Xu Bingchuan |
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| Affiliation: | Mao Baoquan,Wang Fan,Xu Li,Xu Bingchuan(Dept.of Weaponry Engineering,Academy of Armoured Force Engineering,Beijing 100072,China) |
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| Abstract: | Because the robot weapon station servo system has nonlinear and non-determinacy character such as clearance and friction,combine the PID controller and the fuzzy-neural network.Using the neural network to get hold of fuzzy rules and construct the fuzzy neural network controller.It can adjust the three parameters of PID control online according to error and error variance.Simulation results showed that this controller strategy has the advantage of PID controller with high accuracy and the characters of fuzzy... |
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| Keywords: | robot weapon station servo system nonlinear fuzzy neural network PID control parameter self-adjustment |
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