[1]牛玉刚,杨成梧,赵建丛.基于多步预测的PID型神经网络控制[J].南京理工大学学报(自然科学版),2000,(03):199-202.
　NiuYugang YangChengwu ZhaoJiancong.A PID-like Neural Network Control Based on Multi-step Prediction[J].Journal of Nanjing University of Science and Technology,2000,(03):199-202.
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基于多步预测的PID型神经网络控制()
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《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2000年03期
页码:
199-202
栏目:
出版日期:
2000-06-30

文章信息/Info

Title:
A PID-like Neural Network Control Based on Multi-step Prediction
作者:
牛玉刚; 杨成梧; 赵建丛1
南京理工大学动力工程学院, 南京210094
 ¹ 河北农业大学基础部, 保定071000
Author(s):
NiuYugang YangChengwu ZhaoJiancong ①
School of Power Engineering,NUST,Nanjing 210094)
关键词:
神经网络;  预测;  鲁棒性;  PID 调节器
Keywords:
neural netw ork;  predict ion;  robustness;  PID regulator
分类号:
TP18
摘要:
提出了一种基于多步预测的PID型神经网络控制方案 ,其控制机理类似于位置递推式PID控制 ,但所产生的控制量是误差信号的比例、积分和微分量的一种非线性组合 ,可以有效地克服常规PID控制存在的快速性和超调的矛盾。通过利用多步预测误差对PID型神经网络控制器进行训练 ,可以弥补单步预测存在的控制信号波动较大的缺陷。仿真实验表明 ,基于多步预测的PID型神经网络控制系统能有效抑制随机干扰 ,具有较强的适应性和鲁棒性。
Abstract:
A mult-i step predict ion is presented in this paper based on PID-like neural netw ork cont rol scheme similar to the position successive PID in cont rolling mechanism. T he new cont roller can not only carry out the operat ions of proport ion, integral and different ial of error, but also adapt ively adjust PID parameters. The cont rol signal produced by this controller is a nonlinear combinat ion of the values of proportion, integral and derivat ive of errors. Hence, the cont radict ion of fast response and overshoot , which exists in the conventional PID regulator, can be effect ively solved. The new PID-like neural network cont roller is t rained by a performance index based on mult-i step predictive errors. This can effect ively overcome the shortcoming that cont rol signal severely fluctuates accompanied w ith one-step predict ion. Simulation result s prove that this new mult-i step prediction based on PID-like neural netw ork control system can effectively at tenuate random noise interference and is more robust and adaptive.

参考文献/References:

1 王耀南, 童调生, 蔡自兴1 基于神经网络的智能PID控制及应用.信息与控制, 1994, 23( 3) :185~ 189
2 谭永红.神经网络自适应PID 控制及其应用.模式识别与人工智能, 1993, 6( 1) : 81~ 85
3 靳其兵, 顾树生. 一种参数快速收敛的多变量系统神经网络PID 控制.控制与决策, 1998,13( 7) : 448~ 452
4 李奇, 李世华. 一类神经网络智能PID 控制算法的分析与改进. 控制与决策, 1998, 13(4) : 311~ 316
5 韩京清.非线性PID 控制器. 自动化学报, 1994, 20( 6) : 487~ 490

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备注/Memo

备注/Memo:
国防科技预研行业基金
牛玉刚 男 35 岁 博士生
更新日期/Last Update: 2013-03-25