DocumentCode :
2917313
Title :
Design of fractional order PID controller using Sobol Mutated Artificial Bee Colony alogrithm
Author :
Rajasekhar, Anguluri ; Abraham, Ajith ; Pant, Millie
Author_Institution :
Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol.-Warangal, Warangal, India
fYear :
2011
fDate :
5-8 Dec. 2011
Firstpage :
151
Lastpage :
156
Abstract :
Now-a-days fractional order controllers are replacing integer order controllers in various applications due to their robust mechanism in enhancing the system performance. The only complexity using fractional order controllers is to determine the gain parameters, followed by integral and derivative constant. This article describes the design of Fractional-Order Proportional-Integral-Derivative (FOPID) controller using a newly developed variant of ABC known as Sobol Mutated Artificial Bee Colony (S-ABC). The mutation component of S-ABC is based on quasi random Sobol sequence. Controller synthesis is obtained by minimizing Integral Time Absolute Error (ITAE) criterion. In order to digitally realize the FOPID controller Tustin operator based continuous fraction approximation (CFE) method is used. Simulation results for some real life plants and comparison with other state of art optimization techniques over same problems demonstrate the superiority of proposed approach.
Keywords :
approximation theory; control system synthesis; optimisation; three-term control; Sobol mutated artificial bee colony algorithm; Tustin operator based continuous fraction approximation method; controller synthesis; derivative constant; fractional order PID controller design; gain parameters; integral constant; integral time absolute error criterion minimization; mutation component; proportional-integral-derivative controller; quasirandom Sobol sequence; Electronic mail; Frequency domain analysis; Genetic algorithms; Hybrid intelligent systems; Optimization; Process control; Transfer functions; Artificial Bee Colony; Genetic Algorithm; Sobol Mutation; fractional order PID controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2011 11th International Conference on
Conference_Location :
Melacca
Print_ISBN :
978-1-4577-2151-9
Type :
conf
DOI :
10.1109/HIS.2011.6122096
Filename :
6122096
Link To Document :
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