A modified harmony search algorithm with co-evolutional control parameters(DEHS), applied through differential evolution optimization, is proposed. In DEHS, two control parameters, i.e., harmony memory considering rat...A modified harmony search algorithm with co-evolutional control parameters(DEHS), applied through differential evolution optimization, is proposed. In DEHS, two control parameters, i.e., harmony memory considering rate and pitch adjusting rate, are encoded as a symbiotic individual of an original individual(i.e., harmony vector). Harmony search operators are applied to evolving the original population. DE is applied to co-evolving the symbiotic population based on feedback information from the original population. Thus, with the evolution of the original population in DEHS, the symbiotic population is dynamically and self-adaptively adjusted, and real-time optimum control parameters are obtained. The proposed DEHS algorithm has been applied to various benchmark functions and two typical dynamic optimization problems. The experimental results show that the performance of the proposed algorithm is better than that of other HS variants. Satisfactory results are obtained in the application.展开更多
文章讨论了一种通过调整基于PMAC的开放式数控系统的PID伺服控制器参数的调试方法。控制参数的调整与合理设定是数控系统获得理想控制效果的前提与关键环节,采用PEW IN TUNING软件给伺服电机输入阶跃信号和抛物线信号,通过分析系统响应...文章讨论了一种通过调整基于PMAC的开放式数控系统的PID伺服控制器参数的调试方法。控制参数的调整与合理设定是数控系统获得理想控制效果的前提与关键环节,采用PEW IN TUNING软件给伺服电机输入阶跃信号和抛物线信号,通过分析系统响应曲线,对PID参数进行整定,可使系统获得良好的稳态特性和动态特性。展开更多
基金Project(2013CB733605)supported by the National Basic Research Program of ChinaProject(21176073)supported by the National Natural Science Foundation of China
文摘A modified harmony search algorithm with co-evolutional control parameters(DEHS), applied through differential evolution optimization, is proposed. In DEHS, two control parameters, i.e., harmony memory considering rate and pitch adjusting rate, are encoded as a symbiotic individual of an original individual(i.e., harmony vector). Harmony search operators are applied to evolving the original population. DE is applied to co-evolving the symbiotic population based on feedback information from the original population. Thus, with the evolution of the original population in DEHS, the symbiotic population is dynamically and self-adaptively adjusted, and real-time optimum control parameters are obtained. The proposed DEHS algorithm has been applied to various benchmark functions and two typical dynamic optimization problems. The experimental results show that the performance of the proposed algorithm is better than that of other HS variants. Satisfactory results are obtained in the application.
文摘文章讨论了一种通过调整基于PMAC的开放式数控系统的PID伺服控制器参数的调试方法。控制参数的调整与合理设定是数控系统获得理想控制效果的前提与关键环节,采用PEW IN TUNING软件给伺服电机输入阶跃信号和抛物线信号,通过分析系统响应曲线,对PID参数进行整定,可使系统获得良好的稳态特性和动态特性。
