| 基于PSO与LMI优化的非线性模型预测控制 |
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| 引用本文： | 苏成利,刘晓琴,李平,王树青.基于PSO与LMI优化的非线性模型预测控制[J].辽宁石油化工大学学报,2007,27(1):86-89. |
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| 作者姓名： | 苏成利 刘晓琴 李平 王树青 |
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| 作者单位： | 1. 辽宁石油化工大学信息与控制工程学院,辽宁抚顺,113001
2. 工业控制技术国家重点实验室,浙江大学先进控制研究所,浙江杭州,310027 |
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| 摘 要： | 将微粒群算法(PSO)与线性矩阵不等式(LMI)用于输入受限非线性预测控制器的设计,提出了基于PSO与LMI联合优化的非线性预测控制算法。算法采用双模控制策略,利用LMI离线优化确定终端不变区域,以扩大非线性优化的求解范围,降低算法的保守性。利用PSO在线优化求解非线性预测控制输入,以避免求解非线性规划问题,同时对算法的稳定性进行了分析。仿真结果表明了该算法是有效的、可行的。
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| 关 键 词： | 微粒群优化 线性矩阵不等式 非线性预测控制 双模控制 终端区域 |
| 文章编号： | 1672-6952（2007）01-0086-04 |
| 收稿时间： | 2006-09-13 |
| 修稿时间： | 2006-12-15 |
Nonlinear Model Predictive Control Based on PSO and LMI Optimizing Algorithm |
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| SU Cheng-li,LIU Xiao-qin,LI Ping,WANG Shu-qing.Nonlinear Model Predictive Control Based on PSO and LMI Optimizing Algorithm[J].Journal of Liaoning University of Petroleum & Chemical Technology,2007,27(1):86-89. |
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| Authors: | SU Cheng-li LIU Xiao-qin LI Ping WANG Shu-qing |
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| Abstract: | Particle swarm optimization(PSO) and linear matrix inequality(LMI) were used for the design of input-constrained nonlinear predictive controller.A nonlinear predictive control algorithm based on PSO and LMI was proposed.The dual-mode control strategy was adopted in the algorithm.LMI was used for off-line optimization to determine a terminal invariant region to expend the solution extent of nonlinear optimization and decrease conservation degree of the algorithm;PSO was used for on-line solving nonlinear predictive control input to avoid solving nonlinear programming problems.The stability of the algorithm was analyzed.Simulation results show that the algorithm is efficient and feasible. |
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| Keywords: | Particle swarm optimization Linear matrix inequality Nonlinear predictive control Dual- mode control Terminal invariant region |
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