| 基于ESN和PSO的非线性模型预测控制 |
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| 引用本文： | 柴毅,周海林,付东莉,罗德超. 基于ESN和PSO的非线性模型预测控制[J]. 控制工程, 2011, 18(6): 864-867 |
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| 作者姓名： | 柴毅 周海林 付东莉 罗德超 |
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| 作者单位： | 1. 重庆大学自动化学院,重庆,400030
2. 中国汽车工程研究院,重庆,400039 |
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| 基金项目： | 国家自然科学基金资助项目(60974090); 重庆市科技攻关资助项目(cstc2010ac3055) |
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| 摘 要： | 针对传统的控制理论对实际的工业生产过程中的被控系统,特别是具有强非线性的系统控制效果不是很理想,而应用非线性模型预测控制算法能够较好解决非线性系统的控制问题,提出了一种基于回声状态网络(Echo State Network,ESN)模型进行非线性系统辨识和粒子群优化(Particle Swarm Optimizatio...
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| 关 键 词： | 模型预测控制 回声状态网(ESN) 粒子群优化 反馈校正 CSTR |
Nonlinear Model Predictive Control Based on ESN and PSO |
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| CHAI Yi , ZHOU Hai-lin , FU Dong-li , LUO De-chao. Nonlinear Model Predictive Control Based on ESN and PSO[J]. Control Engineering of China, 2011, 18(6): 864-867 |
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| Authors: | CHAI Yi ZHOU Hai-lin FU Dong-li LUO De-chao |
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| Affiliation: | CHAI Yi1,ZHOU Hai-lin1,FU Dong-li1,LUO De-chao2(1.College of Automation,Chongqing University,Chongqing 400030,China,2.China Automotive Engineering Research Institute,Chongqing 400039,China) |
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| Abstract: | To the problem that the control objects in practical industry processes are nonlinear systems,and the traditional control theory can not deal with them perfectly,the nonlinear model predictive algorithm is introduced.The algorithmn of nonlinear model predictive control system based on the echo state network(ESN)model and the particle swarm optimization(PSO)is proposed.The ESN can identify nonlinear system perfectly,and has larger progress in computing time,data training and stability compared with the tradi... |
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| Keywords: | model predictive control echo state network particle swarm optimization feedback correction CSTR |
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