Fractional Order PID Control using Ant Colony Optimization

被引：0
|
作者：
Singh, Richa [1 ]
Kumar, Ambreesh [2 ]
Sharma, Rajneesh [1 ]
机构：
[1] NSIT, ICE Div, New Delhi, India
[2] Mewar Univ, ECE Dept, Chittaurgarh, Rajasthan, India
来源：
PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, INTELLIGENT CONTROL AND ENERGY SYSTEMS (ICPEICES 2016) | 2016年
关键词：
Fractional Order PID; Ant Colony Optimization; Ant Colony Fractional Fuzzy PID Controller;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
An Ant Colony Optimization (ACO) based Fractional Fuzzy PID controller is proposed in this paper. The resulting controller Ant Colony Fractional Fuzzy PID (AFrFPID) Controller incorporates the characteristics of the Ant Colony System and Fuzzy Control for controlling integer and fractional order plants. Fractional Order PID (FOPID) controllers show better performance for systems that have non-linear and time varying variables. However; the complexity of designing FOPID parameters is increased due to increase in tuning parameters (from 3 to 5). To obtain an initial estimate of these five parameters; the bio-inspired ACO algorithm is used. Ant Colony Optimization is a population based meta-heuristic technique which from the behavior of real ant colonies to find solutions to discrete optimization problems. Fuzzy Control is used to further fine tune the parameters for better control. MATLAB Simulations are presented and the performance of the AFrFPID controller is validated.
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页数：6
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