基于模糊神经网络的智能PID 控制算法
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(中北大学机电工程学院,太原030051)

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TJ765

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Intelligent PID Control Algorithm Based on Fuzzy Neural Network
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(School of Mechanical and Electrical Engineering, North University of China, Taiyuan 030051, China)

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    摘要:

    舵机控制系统存在响应速度慢、抗干扰能力差、系统参数不易整定、现有控制技术与设计方法的局限性等问题,这些问题影响了舵机的性能。为了提高制导火箭弹舵机伺服控制系统的性能,文章从舵机智能控制技术出发,研究了舵机的智能控制算法和Simulink系统仿真模型,采用模糊神经网络PID控制器来提高舵机的稳定性。仿真结果表明,模糊神经网络相比其他控制器进一步提升了舵机控制系统的控制效果。

    Abstract:

    The steering gear control system has problems such as slow response speed, poor anti-interference ability, diffi?cult system parameter setting, limitations of existing control technology and design method and so on. These problems af?fect the performance of the steering gear. In order to improve the servo control of the guided rocket servo, the intelligentcontrol algorithm of the steering gear and the Simulink system simulation model were studied based on the intelligent con?trol technology of the steering gear. The fuzzy neural network PID controller was used to improve the stability of the steer?ing gear. The simulation results show that the fuzzy neural network can improve the control effect of the steering gear con?trol system compared with other controllers furtherly.

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引用本文

罗泽邦,辛长范,夏朋程.基于模糊神经网络的智能PID 控制算法[J].海军航空大学学报,2019,34(5):430-436
LUO Zebang, XIN Changfan, XIA Pengcheng. Intelligent PID Control Algorithm Based on Fuzzy Neural Network[J]. JOURNAL OF NAVAL AVIATION UNIVERSITY,2019,34(5):430-436

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  • 在线发布日期: 2019-12-23
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