| 智能PID控制算法研究及Matlab实现 |
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| 引用本文： | 蔡淑敏,王亚刚,田涛. 智能PID控制算法研究及Matlab实现[J]. 电子科技, 2016, 29(7): 43 |
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| 作者姓名： | 蔡淑敏 王亚刚 田涛 |
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| 作者单位： | (1上海理工大学 光电信息与计算机工程学院，上海 200093；2上海华虹集成电路有限责任公司，上海 201203) |
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| 摘 要： | 针对滞后大、非线性等复杂的系统，常规PID控制算法已无法满足控制任务要求。为解决此类问题，文中提出从智能PID控制中的模糊PID控制、BP神经网络PID控制着手，仿真比较智能PID控制与常规PID控制的控制结果。实验表明，智能PID控制的超调量可达到0，稳定时间也大幅缩短，使系统整体的动静态特性得到了有效地改善。
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| 关 键 词： | PID控制 智能控制 模糊控制 神经网络 Matlab仿真 |
Research on Intelligent PID Control Algorithm and Matlab Simulation |
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| CAI Shumin,WANG Yagang,TIAN Tao. Research on Intelligent PID Control Algorithm and Matlab Simulation[J]. Electronic Science and Technology, 2016, 29(7): 43 |
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| Authors: | CAI Shumin WANG Yagang TIAN Tao |
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| Affiliation: | (1School of optical Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; 2Shanghai Huahong Integrated Circuit Co. Ltd., Shanghai 201203, China) |
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| Abstract: | With the rapid development of modern industry, the conventional PID control algorithm can not meet the requirements of the control task. In order to solve these problems, the fuzzy PID control and BP neural network PID control are included in intelligent PID control for simulation and comparison of the control results of the intelligent PID control and conventional PID control. The experiments show that the overshoot of the intelligent PID control can reach 0 with the stability time greatly shortened and the dynamic and static characteristics of the system improved. |
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| Keywords: | PID control intelligence control fuzzy control neural network Matlab simulation |
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