[1]兰歆,韦宏利,陈超波.一种改进的粒子群算法的分数阶控制研究[J].计算机技术与发展,2018,28(10):145-149.[doi:10.3969/ j. issn.1673-629X.2018.10.030]
　LAN Xin,WEI Hong-li,CHEN Chao-bo.Research on Fractional Order Control of an Improved Particle Swarm Optimization Algorithm[J].,2018,28(10):145-149.[doi:10.3969/ j. issn.1673-629X.2018.10.030]
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一种改进的粒子群算法的分数阶控制研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年10期
页码:
145-149
栏目:
智能、算法、系统工程
出版日期:
2018-10-10

文章信息/Info

Title:
Research on Fractional Order Control of an Improved Particle Swarm Optimization Algorithm
文章编号:
1673-629X(2018)10-0145-05
作者:
兰歆; 韦宏利; 陈超波
西安工业大学 电子信息工程学院,陕西 西安 710021
Author(s):
LAN Xin; WEI Hong-li; CHEN Chao-bo
School of Electronic and Information Engineering,Xi’an Technological University,Xi’an 710021,China
关键词:
分数阶; 混沌算法; 粒子群优化; 自适应控制; 惯性权重
Keywords:
fractional order; chaos algorithm; particle swarm optimization; adaptive control; inertia weight
分类号:
TP273
DOI:
10.3969/ j. issn.1673-629X.2018.10.030
文献标志码:
A
摘要:
分数阶 PID 控制器在工程应用中出现了控制参数多且难以整定等问题。 针对这些问题,提出一种改进的粒子群分数阶控制算法,并在单级倒立摆控制系统中进行实验验证。该算法将混沌算法与惯性权重调整的粒子群算法相融合,对粒子群进行混沌初始化,并将陷入局部最优的粒子进行混沌搜索,既优化了惯性权重非线性调整方法来提高算法的收敛精度,又得到了全局最优解。 实验结果表明,CAPSO 算法在分数阶控制器的参数整定方面优于主导极点法、粒子群优化(PSO)等算法。 与 PSO 算法相比,具有收敛速度快、超调量小、稳定性好、抗干扰性强等特点;经 CAPSO 算法优化的分数阶控制器动态响应特性要优于整数阶 PID 控制器。
Abstract:
The fractional PID controller exists too many control parameters and difficult parameter tuning and other problems in engineering. Therefore,we propose a fractional order control algorithm called chaotic adaptive particle swarm optimization (CAPSO),which is verified by the single inverted pendulum control system. This algorithm combines the chaos algorithm with inertia weight adjustment of the particle swarm algorithm. After the chaotic initialization of particle swarm,it exerts chaotic search on the swarms falling into the local optimal particle,not only optimizing nonlinear inertia weight adjustment method to improve its convergence accuracy,but also getting the global optimum solution. The experiment shows that the CAPSO is better than the dominant pole method and PSO in the parameter tuning of the fractional order controller. Compared with PSO,it has many merits of the fast convergence speed,small overshoot,strong sta bility and anti-interference. The dynamic response of the system with fractional order controller optimized by CAPSO is better than that with integer order PID controller.

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[1]蔡思捷 于舒娟 张昀.差分算法在盲均衡中的应用与研究[J].计算机技术与发展,2012,(06):64.
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[2]虞继敏[],武卫红[],周尚波[],等. 分数阶复Lorenz混沌系统的控制与同步[J].计算机技术与发展,2016,26(11):130.
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更新日期/Last Update: 2018-10-10