| 基于CSA-SQP的预测控制器参数整定研究 |
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| 引用本文： | 陈,杨 姜文丽 史旭华 赵,均 徐祖华.基于CSA-SQP的预测控制器参数整定研究[J].宁波大学学报(理工版),2017,0(4):51-57. |
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| 作者姓名： | 陈 杨 姜文丽 史旭华 赵 均 徐祖华 |
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| 作者单位： | 1.宁波大学 科学技术学院, 浙江 宁波 315211; 2.宁波大学 信息科学与工程学院, 浙江 宁波 315211; 3.浙江大学 工业控制技术国家重点实验室, 浙江 杭州 310027 |
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| 摘 要： | 针对预测控制器参数整定困难, 提出了一种基于克隆选择和序列二次规划的预测控制器参数整定算法, 建立了一个基于免疫原理和序列二次规划算法进行控制器参数整定的机制, 并给出了参数整定问题中的抗原、抗体及亲和力的定义. 在此基础上, 针对系统的不确定性干扰, 构造了基于事件触发的参数调整框架. 最后, 将算法应用于仿真实验, 通过与设定值控制结果的对比, 证明所提出的预测控制器参数整定方法是有效的.
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| 关 键 词： | 模型预测控制 克隆选择算法 序列二次规划 事件触发 抗体 |
Tuning parameters for model predictive controller based on CSA-SQP |
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| CHEN Yang,JIANG Wen-li,SHI Xu-hua,ZHAO Jun,XU Zu-hua.Tuning parameters for model predictive controller based on CSA-SQP[J].Journal of Ningbo University(Natural Science and Engineering Edition),2017,0(4):51-57. |
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| Authors: | CHEN Yang JIANG Wen-li SHI Xu-hua ZHAO Jun XU Zu-hua |
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| Affiliation: | 1.College of Science & Technology, Ningbo University, Ningbo 315211, China; 2.Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China; 3.State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 3 |
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| Abstract: | A hybrid algorithm is presented to solve the difficulty of tuning the parameters of a model predictive controller (MPC). The algorithm is based on both the immune clonal selection algorithm and sequential quadratic programming. Antibodies, antigens, and affinity are also defined. The framework of tuning parameters based on events trigger is introduced in case of uncertain disturbance. Finally, the simulation is conducted using the presented algorithm. Comparison with the results of set point control indicates that the proposed method is more efficient than other tuning methods and can be used to solve the problems with the predictive controller parameter tuning. |
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| Keywords: | model-predictive control clonal selection algorithm sequential quadratic programming events trigger antibody |
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