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ABC算法在非线性系统辨识与控制中的应用 被引量：2

Application of ABC Algorithm in Identification and Control of Nonlinear Systems
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摘要 针对非线性系统辨识和控制器的设计,提出一种混沌映射产生初值的人工蜂群优化算法,并将该算法应用于非线性系统中的参数辨识和PID控制器的设计。参数辨识的仿真结果表明,基于混沌映射理论的人工蜂群优化算法比其他传统的算法具有更好的收敛特性和辨识性能;自动电压调节系统的仿真结果表明,基于混沌人工蜂群优化的PID控制自动电压调节系统是可行性的,且具有良好的动态调节性能。 The problem of nonlinear system identification and design of its controller were consid- ered herein. Firstly, a new ABC optimization algorithm was introduced, which generated the initial val- ue of optimization parameters using chaotic maps. Then the proposed algorithm was applied to esti- mate parameters and to design PID controller. The simulation results of nonlinear systems show that the proposed algorithm can get better convergent and identification performance than other optimiza- tion algorithms. The simulation results also show the automatic voltage regulator system can improve dynamic respond behavior using chaotic ABC algorithm PID controller,and its superior performances to other conventional methods.
作者 周海峰 王荣杰
机构地区 集美大学
出处 《中国机械工程》 EI CAS CSCD 北大核心 2012年第12期1446-1451,共6页 China Mechanical Engineering
基金 国家自然科学基金资助项目(51179074) 李尚大学科建设基金资助项目(ZC2011006)
关键词 混沌映射 非线性系统辨识 人工蜂群优化算法 PID控制器 自动电压调节系统 chaotic mapping nonlinear system identification artificial bee colony （ABC） optimiza- tion algorithm PID controller automatic voltage regulator
分类号 TP11 [自动化与计算机技术—控制理论与控制工程]
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共引文献10

同被引文献19

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中国机械工程
2012年 第12期

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