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浙江大学学报(工学版)
浙江大学学报(工学版)  2017, Vol. 51 Issue (7): 1397-1404    DOI: 10.3785/j.issn.1008-973X.2017.07.018
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cRNA布谷鸟搜索算法的桥式吊车PID控制
朱笑花1,2, 王宁2
1. 闽南师范大学 物理与信息工程学院, 福建 漳州 363000;
2. 浙江大学 工业控制技术国家重点实验室, 浙江 杭州 310027
Cuckoo search algorithm with RNA crossover operation for PID control of overhead cranes
ZHU Xiao-hua1,2, WANG Ning2
1. College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, China;
2. National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China
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摘要：

为了提高算法的全局搜索能力，受RNA二级结构的启发，设计RNA茎环交叉算子，采用基于进化代数的自适应步长策略，提出RNA交叉操作布谷鸟搜索算法（cRNA-CS）.将cRNA-CS算法用于对5个典型测试函数进行寻优.测试结果表明，cRNA-CS算法的搜索能力和寻优精度相对于CS算法和其他改进的CS算法有了明显提高.将cRNA-CS算法用于桥式吊车系统PID控制器参数的优化整定.仿真实验结果表明，与CS算法、单纯形算法和PSO算法相比，采用cRNA-CS算法优化的PID控制器能够实现桥式吊车系统更好的消摆和定位控制.
Abstract:

A cuckoo search algorithm with RNA crossover operation (cRNA-CS) was proposed in order to improve the global search ability. In the cRNA-CS algorithm, a RNA stem loop crossover operator was designed inspired by RNA secondary structure and an evolution generation based adaptive step-size strategy was employed. The cRNA-CS algorithm was tested on five benchmark functions. Test results show that the cRNA-CS algorithm outperforms the CS algorithm and the other improved CS algorithms in search ability and accuracy. Then the cRNA-CS algorithm was applied in the parameter optimization of the PID controller of the overhead crane system. The simulation results show that the optimal PID controller based on cRNA-CS algorithm can achieve a better control performance on anti-swing and positioning than that of the CS algorithm, the simplex search algorithm and the PSO algorithm.
收稿日期: 2016-05-08 出版日期: 2017-07-08
CLC:  TP273  
基金资助:

国家“十二五”科技支撑计划资助项目（2013BAF07B03）；国家自然科学基金资助项目（61573311，61403356）；福建省中青年教师教育科研资助项目（JAT160285）
作者简介: 朱笑花(1980—),女,讲师,从事智能优化、建模、非线性控制的研究.ORCID:0000-0002-7872-0556.E-mail:xhzhuzz@163.com
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引用本文:

朱笑花, 王宁. cRNA布谷鸟搜索算法的桥式吊车PID控制[J]. 浙江大学学报(工学版), 2017, 51(7): 1397-1404.

ZHU Xiao-hua, WANG Ning. Cuckoo search algorithm with RNA crossover operation for PID control of overhead cranes. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2017, 51(7): 1397-1404.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2017.07.018    或    http://www.zjujournals.com/eng/CN/Y2017/V51/I7/1397

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