cRNA布谷鸟搜索算法的桥式吊车PID控制

发布时间：2018-04-02 12:21

  本文选题：布谷鸟搜索算法(CS)　切入点：RNA茎环交叉算子　出处：《浙江大学学报(工学版)》2017年07期

【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]:In order to improve the global search ability of the algorithm and inspired by the secondary structure of RNA, the RNA stem ring crossover operator is designed, and the adaptive step size strategy based on evolutionary algebra is adopted. A RNA cross-operation cuckoo search algorithm is proposed. The cRNA-CS algorithm is used to optimize five typical test functions. The test results show that the searching ability and precision of the Cuckoo search algorithm are better than those of CS algorithm and other improved CS algorithms. The cRNA-CS algorithm is used to optimize the parameters of PID controller in bridge crane system. The simulation results show that, Compared with CS algorithm, simplex algorithm and PSO algorithm, the PID controller optimized by cRNA-CS algorithm can achieve better swing elimination and positioning control in bridge crane system.
【作者单位】： 闽南师范大学物理与信息工程学院;浙江大学工业控制技术国家重点实验室;
【基金】：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)
【分类号】：TP18;TP273
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本文编号：1700385