| 基于粒子群优化的有约束模型预测控制器 |
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| 引用本文： | 董娜,陈增强,孙青林,袁著祉.基于粒子群优化的有约束模型预测控制器[J].控制理论与应用,2009,26(9):965-969. |
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| 作者姓名： | 董娜 陈增强 孙青林 袁著祉 |
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| 作者单位： | 南开大学,自动化系,天津,300071 |
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| 基金项目： | 国家自然科学基金资助项目，教育部新L仆纪优秀人才支持计划资助项目，教育部科学技术研究重点项目资助项目，人津市应用基础及前沿技术研究计划资助项目 |
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| 摘 要： | 研究了模型预测控制(MPC)中解决带约束的优化问题时所用到的优化算法,针对传统的二次规划(QP)方法的不足,引入了一种带有混沌初始化的粒子群优化算法(CPSO),将其应用到模型预测控制中,用十解决同时带有输入约束和状态约束的控制问题.最后,引入了一个实际的带有约束的线性离散系统的优化控制问题,分别用二次规划和粒子群优化两种算法去解决,通过仿真结果的比较,说明了基于粒子群优化(PSO)的模型预测控制算法的优越性.
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| 关 键 词： | 模型预测控制 粒子群优化算法 带约束的优化 线性离散系统 |
| 收稿时间： | 2008/7/10 0:00:00 |
| 修稿时间： | 2008/12/9 0:00:00 |
Particle-swarm optimization algorithm for model predictive control with constraints |
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| DONG N,CHEN Zeng-qiang,SUN Qing-lin and YUAN Zhu-zhi.Particle-swarm optimization algorithm for model predictive control with constraints[J].Control Theory & Applications,2009,26(9):965-969. |
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| Authors: | DONG N CHEN Zeng-qiang SUN Qing-lin and YUAN Zhu-zhi |
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| Affiliation: | Department of Automation, Nankai University,Department of Automation, Nankai University,Department of Automation, Nankai University,Department of Automation, Nankai University |
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| Abstract: | We investigate the optimization algorithms for solving the constrained optimization problems in model predictive control(MPC). To deal with the disadvantage of the quadratic programming(QP) algorithm, we introduce and apply
the chaotic particle-swarm optimization(CPSO) algorithm to solve the control problem with simultaneous constraints on inputs and states. A practical constrained optimization problem of the discrete-time linear system is solved by QP and PSO, respectively. By comparing the simulation results, we show the advantages of the PSO-based MPC algorithm. |
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| Keywords: | model predictive control particle swarm optimization optimization with constraints discrete-time linear systems |
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