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El-Bardini, M., Fkirin, M., Abd-Elhaleem, S. (2012). FUZZY CONTROLLER DESIGN FOR DC MOTOR USING ANT COLONY OPTIMIZATION ALGORITHM. JES. Journal of Engineering Sciences, 40(No 3), 899-911. doi: 10.21608/jesaun.2012.114419
Mohammad El-Bardini; Mohamed Fkirin; Sameh Abd-Elhaleem. "FUZZY CONTROLLER DESIGN FOR DC MOTOR USING ANT COLONY OPTIMIZATION ALGORITHM". JES. Journal of Engineering Sciences, 40, No 3, 2012, 899-911. doi: 10.21608/jesaun.2012.114419
El-Bardini, M., Fkirin, M., Abd-Elhaleem, S. (2012). 'FUZZY CONTROLLER DESIGN FOR DC MOTOR USING ANT COLONY OPTIMIZATION ALGORITHM', JES. Journal of Engineering Sciences, 40(No 3), pp. 899-911. doi: 10.21608/jesaun.2012.114419
El-Bardini, M., Fkirin, M., Abd-Elhaleem, S. FUZZY CONTROLLER DESIGN FOR DC MOTOR USING ANT COLONY OPTIMIZATION ALGORITHM. JES. Journal of Engineering Sciences, 2012; 40(No 3): 899-911. doi: 10.21608/jesaun.2012.114419

FUZZY CONTROLLER DESIGN FOR DC MOTOR USING ANT COLONY OPTIMIZATION ALGORITHM

Article 18, Volume 40, No 3, May and June 2012, Page 899-911  XML PDF (163.6 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2012.114419
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Authors
Mohammad El-Bardini; Mohamed Fkirin; Sameh Abd-Elhaleem
Faculty of Electronic Engineering, Menouf, 32852, Egypt
Abstract
This paper presents fuzzy controller design using ant colony optimization algorithm (ACO-FC). The objective of ACO-FC is to improve the control performance and design ease of fuzzy controller. In ACO-FC, the antecedent part (IF part) of a fuzzy system is flexibly partitioned in grid type, and the consequent part (THEN part) of each rule is selected by the ants where the route of an ant is regarded as combination of consequent actions selected from every rule. Searching for the best one among all consequence combinations is based mainly on the pheromone matrix among all candidate actions. To verify the control performance of ACO-FC, simulations on position control of a DC motor are performed. Comparison with PID like fuzzy controller demonstrates the advantages of ACO-FC.
Keywords
Ant colony optimization (ACO); fuzzy controller design; position control
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
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