期刊文献+

基于人工免疫PSO算法的球杆系统仿真研究 被引量:1

Research on Simulation of Club System Based on Artificial Immune PSO Algorithm
下载PDF
导出
摘要 针对球杆系统非线性不稳定的特性,利用Matlab中的Simulink模块和True Time工具箱设计了人工免疫PSO算法网络控制系统。当网络控制系统存在一定的时延和滞后时,对人工免疫PSO算法的网络控制系统进行仿真分析。结果表明:采用基于人工免疫PSO算法的控制器的系统输出曲线超调量更小,调节时间更短,鲁棒性也优于一般PID控制器。 In view of the nonlinear instability of the club system and through making use of Simulink module and TrueTime toolbox in Matlab, an artificial immune PSO algorithm-based network control system was designed. As for the network control system with a certain time delay or lag, simulating and analyzing it show that, the output curve of the controller based on artificial immune PSO algorithm has smaller overshoot and shorter adjustment time and its robustness is better than the traditional PID controller.
作者 黄丽华 李俊丽 HUANG Li-hua;LI Jun-li (Faculty of Information Engineering and Automation(Faculty of Information Engineering and Automation,Kunming University of Science and Tchnolog)
出处 《化工自动化及仪表》 CAS 2019年第1期63-66,共4页 Control and Instruments in Chemical Industry
关键词 人工免疫PSO算法 网络控制系统 TRUETIME工具箱 鲁棒性 artificial immune PSO algorithm network control system TrueTime toolbox robustness
  • 相关文献

参考文献3

二级参考文献15

  • 1胖永新,金迪,孟宪东.球杆系统的建模、仿真与控制器设计[J].武汉大学学报(工学版),2005,38(6):142-146. 被引量:27
  • 2周树德,孙增圻.分布估计算法综述[J].自动化学报,2007,33(2):113-124. 被引量:209
  • 3Kennedy J, Eberhart R C. Particle swarm optimization[C]. Proc of IEEE Int Conf on Neural Networks. Perth, 1995: 1942-1948.
  • 4Bergh F V D. An analysis of particle swarm optimizers[D]. Pretoria: Faculty of Natural and Agricultural Science, University of Pretoria, 2001.
  • 5Sun Jun, Xu Wenbo, Feng Bin. A global search strategy of quantum-behaved particle swarm optimization[C]. Proc of IEEE Conf on Cybernetics and Intelligent Systems. Singapore: IEEE Press, 2004:111-116.
  • 6Larrahaga P, Lozano J A. Estimation of distribution algorithms: A new tool for evolutionary computation[M].Boston: Kluwer Academic Publishers, 2002.
  • 7Pelikan M, Goldberg D E, Lobo E A survey of optimization by building and using probabilistic models[J]. Computational Optimization and Applications, 2002, 21(1): 5-20.
  • 8Clerc M, Kennedy J. The particle swarm: Explosion, stability and convergence in a multi dimentional complex space[J]. IEEE Trans on Evolutionary Computation, 2002, 6(1): 58-73.
  • 9Sun Jun, Xu Wenbo, Feng Bin. Adaptive parameter control for quantum-behave particle swarm optimization on individual level[C]. Proc of IEEE Int Conf on Systems, Man and Cybernetics. Hawii: IEEE Press, 2005: 3049- 3054.
  • 10Yao X, Liu Y, Lin G. Evolutionary programming made faster[J]. IEEE Trans on Evolutionary Computation, 1999, 3(2): 82-102.

共引文献50

同被引文献9

引证文献1

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部