Design of fuzzy logic controller based on differential evolution algorithm

被引：0

作者：

Shuai, Li ^{[1
]}

Wei, Sun ^{[2
]}

机构：

[1] School of Mechatronic Engineering and Automation, Shanghai University, Shanghai

[2] College of Information & Electrical Engineering, China University of Mining & Technology, Xuzhou

来源：

Communications in Computer and Information Science | 2014年 / 462卷

关键词：

Differential evolution algorithm; Fuzzy logic control; Optimization;

D O I：

10.1007/978-3-662-45261-5_3

中图分类号：

学科分类号：

摘要：

In order to overcome the deficiency of fuzzy control algorithm, an adaptive fuzzy logic controller is proposed. In this method, the differential evolution algorithm (DE) was employed to optimize parameters of fuzzy controller: quantitative factor and proportional factor, they were designed as individuals of DE population, and evaluated using the fitness function provided until the termination condition was fulfilled. Then the selected parameter values were sent back to fuzzy logic controller. Simulation results concerning two-tank system show that the DE optimized fuzzy controller has good adaptability, as well as it`s effectiveness, which provides a new approach to improve fuzzy control system. © Springer-Verlag Berlin Heidelberg 2014.

引用

页码：18 / 25

页数：7

共 13 条

[11]

Shillt P.C., Akhand M., Muraset K., Fuzzy logic controller for an inverted pendulum system using quantum genetic optimization, Proceedings of 14<Sup>Th</Sup> International Conference on Computer and Information Technology (ICCIT 2011, pp. 22-24, (2011)

[12]

Wonohadidjojo D.M., Kothapalli G., Hassan M.Y., Position control of electro-hydraulic actuator system using fuzzy logic controller optimized by particle swarm optimization, International Journal of Automation and Computing, 10, 3, pp. 181-193, (2013)

[13]

Cheong F., Lai R., Designing a hierarchical fuzzy logic controller using the differential evolution approach, Applied Soft Computing, 7, pp. 481-491, (2007)

← 1 2 →