| 基于LS-SVM的陶瓷窑炉温度预测控制 |
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| 引用本文： | 王思明,刘伟,张国武.基于LS-SVM的陶瓷窑炉温度预测控制[J].计算机测量与控制,2011,19(6). |
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| 作者姓名： | 王思明 刘伟 张国武 |
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| 作者单位： | 兰州交通大学自动化与电气工程学院,甘肃兰州,730070 |
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| 基金项目： | 甘肃省自然科学研究基金(0916RJZA051) |
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| 摘 要： | 针对陶瓷窑炉大热容量、大滞后、非线性等特点,提出了一种基于最小二乘支持向量机动态矩阵控制方法;首先,采用保证种群多样性微粒群算法优化的最小二乘支持向量机离线建立被控对象模型;然后在系统运行过程中,用动态矩阵预测算法实现对被控系统的预测控制;并以陶瓷窑炉温度为控制对象,与Smith预估控制以及内模控制算法进行了比较;仿真结果证明了所提控制方法具有很好的动、静态性能和强鲁棒性。
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| 关 键 词： | 陶瓷窑炉 最小二乘支持向量机 微粒群算法 动态矩阵控制 温度 |
Predictive Control of Ceramics Kiln Temperature Based on LSSVM |
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| Wang Siming,Liu Wei,Zhang Guowu.Predictive Control of Ceramics Kiln Temperature Based on LSSVM[J].Computer Measurement & Control,2011,19(6). |
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| Authors: | Wang Siming Liu Wei Zhang Guowu |
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| Affiliation: | Wang Siming,Liu Wei,Zhang Guowu (School of Automation and Electrical Engineering,Lanzhou Jiao Tong University,Lanzhou 730070,China) |
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| Abstract: | In accordance with the technical features of large capacity,non-linear and dead time temperature resistance ceramics kiln system,a method of dynamic matrix control based on least squares support vector machine is proposed.The model of the controlled plant is built by least squares support vector machine based on Attractive and Repulsive Particle Swarm Optimizer algorithm.In the process of system operation,the dynamic matrix control algorithm is employed to implement the predictive control of the controlled ... |
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| Keywords: | ceramics kiln least squares support vector machine particle swarm optimizer algorithm dynamic matrix control temperature |
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