| 大时滞系统全参数自适应预测控制策略 |
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| 引用本文： | 蒋朝辉,李学明,桂卫华.大时滞系统全参数自适应预测控制策略[J].中南大学学报(自然科学版),2012,43(1):195-201. |
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| 作者姓名： | 蒋朝辉 李学明 桂卫华 |
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| 作者单位： | 中南大学信息科学与工程学院,湖南长沙,410083 |
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| 基金项目： | 国家自然科学基金重点资助项目(60634020,61134006);国家自然科学基金资助项目(61074117) |
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| 摘 要： | 针对大时滞系统纯滞后时间长、参数时变的特点,提出一种基于改进的粒子群优化的自适应预测控制算法.利用改进的粒子群优化算法对时变大时滞系统模型的全部参数进行辨识,从而克服预测模型失配对系统控制性能的影响,并且将粒子群优化算法用于预测控制滚动寻优,有效解决系统存在约束条件下的最优值求解问题.仿真结果验证所提方法的有效性和优越性.
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| 关 键 词： | 大时滞系统 全参数辨识 自适应预测控制 粒子群优化 |
All parameters adaptive predictive control strategy for long time-delay system |
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| JIANG Zhao-hui
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LI Xue-ming
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GUI Wei-hua.All parameters adaptive predictive control strategy for long time-delay system[J].Journal of Central South University:Science and Technology,2012,43(1):195-201. |
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| Authors: | JIANG Zhao-hui LI Xue-ming GUI Wei-hua |
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| Institution: | (School of Information Science and Engineering,Central South University,Changsha 410083,China) |
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| Abstract: | A new all parameters adaptive predictive control(APAPC) method based on modified particle swarm optimization(PSO) was presented to solve the control problem in time-varing system with long time-delay.All parameters of system model were identified on-line using PSO to effectively overcome the predictive model mismatch.A PSO based predictive control was proposed in which the PSO was used for iterative optimization,which can solve the complicated optimization with various kinds of constraints.The simulation example proves the effectiveness. |
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| Keywords: | long time-delay system all parameter identification adaptive predictive control particle swarm optimization |
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