| 基于CMAC神经网络PID控制算法控制直流电机的仿真研究 |
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| 引用本文： | 刘迪,姜静,张大为.基于CMAC神经网络PID控制算法控制直流电机的仿真研究[J].仪表技术,2014(1):45-46,49. |
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| 作者姓名： | 刘迪 姜静 张大为 |
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| 作者单位： | 海军航空工程学院控制工程系,山东烟台264001 |
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| 摘 要： | 传统的PID控制算法对控制参数难以适应,抗干扰能力差,对直流电动机进行控制时速度较慢、稳定性较差,为解决上述问题,文中提出了一种基于CMAC神经网络的PID控制算法来控制直流电动机,对PID控制参数进行自适应修改,仿真结果表明,该算法提高了系统的稳定性、响应速度、参数适应性和鲁棒性,改善了系统控制存在的稳态精度不高的问题。
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| 关 键 词： | 小脑模型神经网络 直流电动机 PID控制 自适应控制 |
Simulation Study of Controlling DC Motor of Based on CMAC Neural Network PID Control Algorithm |
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| LIU Di,JIANG Jing,ZHANG Da-wei.Simulation Study of Controlling DC Motor of Based on CMAC Neural Network PID Control Algorithm[J].Instrumentation Technology,2014(1):45-46,49. |
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| Authors: | LIU Di JIANG Jing ZHANG Da-wei |
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| Affiliation: | (Department of Control Engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China) |
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| Abstract: | The traditional PID control algorithm is difficult to adapt the control parameters. Its anti-interference abil- ity is poor, its speed is slow and its stability is poor when controlling brushless DC motor. To solve these problems, a PID control algorithm based on CMAC network which controls DC motor is proposed. PID control parameters are adjusted adaptively. Simulation results show that the stability, response speed, parameters adaptability and robustness of the sys- tem are improved. And the control parameters are adjusted to improve the accuracy of steady state. |
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| Keywords: | CMAC network DC motor PID control adaptive control |
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