文件名称:ga-PID
- 所属分类:
- 人工智能/神经网络/遗传算法
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- [PDF]
- 上传时间:
- 2012-11-26
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- 868kb
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- baiji*****
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遗传算法是1962年由美国Michigan大学的Holland教授提出的模拟自然界遗传机制和生物进化论而形成的一种并行随机搜索最优化方法[1-3],
在自动控制领域中得到了越来越广泛的应用。该文引入了“稳定区域算法”求取闭环系统稳定的PID控制器参数区间,并以此算法的计算结果限定进
化算法的参数寻优区间,通过仿真试验取得了令人满意的控制效果。-Genetic Algorithms is proposed by the University of Michigan’s Professor Holland in the United
States in 1962 which is Analog nature of genetic mechanisms and biological theory of evolution and the
formation of a parallel random search optimization method [1-3], in the field of automatic control has been
more and more wide range of applications. In this paper, the introduction of the "stable region algorithm" to
strike a closed-loop system stability of interval parameter PID controller, and the results of this algorithm
for calculating the parameters of limited evolutionary algorithm optimization interval, through the simulation
achieved satisfactory control effect.
在自动控制领域中得到了越来越广泛的应用。该文引入了“稳定区域算法”求取闭环系统稳定的PID控制器参数区间,并以此算法的计算结果限定进
化算法的参数寻优区间,通过仿真试验取得了令人满意的控制效果。-Genetic Algorithms is proposed by the University of Michigan’s Professor Holland in the United
States in 1962 which is Analog nature of genetic mechanisms and biological theory of evolution and the
formation of a parallel random search optimization method [1-3], in the field of automatic control has been
more and more wide range of applications. In this paper, the introduction of the "stable region algorithm" to
strike a closed-loop system stability of interval parameter PID controller, and the results of this algorithm
for calculating the parameters of limited evolutionary algorithm optimization interval, through the simulation
achieved satisfactory control effect.
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基于遗传算法的PID控制系统.pdf