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
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