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Volumn , Issue , 2011, Pages 000337-000340

Optimal PID controller design for AVR system using Particle Swarm Optimization Algorithm

Author keywords

AVR system; Particle swarm optimization; PID controller

Indexed keywords

AUTOMATIC VOLTAGE REGULATORS; AVR SYSTEM; FAST TUNING; FEEDBACK CONTROLLER; HIGH ORDER; INDUSTRIAL CONTROL SYSTEMS; MOTOR DRIVE; NUMBER OF ITERATIONS; PARTICLE SWARM; PARTICLE SWARM OPTIMIZATION ALGORITHM; PID CONTROLLER DESIGN; PID CONTROLLERS; PLANT OPERATORS; PROPORTIONAL INTEGRAL DERIVATIVE CONTROLLERS; STABLE CONVERGENCE; TIME DOMAIN;

EID: 80053957305     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2011.6030468     Document Type: Conference Paper
Times cited : (60)

References (8)
  • 2
    • 2942539776 scopus 로고    scopus 로고
    • A particle swarm optimization approach for optimum design of PID controller in AVR system
    • June
    • Zwe-Lee Gaing, "A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR System", IEEE Transactions on Energy Conversion, Vol. 19, No. 2, pp.384-391, June 2004.
    • (2004) IEEE Transactions on Energy Conversion , vol.19 , Issue.2 , pp. 384-391
    • Gaing, Z.-L.1
  • 6
    • 0035247085 scopus 로고    scopus 로고
    • Design of optimal disturbance rejection PID controllers using genetic algorithm
    • Feb.
    • R. A. Krohling and J. P. Rey, "Design of optimal disturbance rejection PID controllers using genetic algorithm," IEEE Trans. Evol. Comput., vol. 5, pp. 78-82, Feb. 2001.
    • (2001) IEEE Trans. Evol. Comput. , vol.5 , pp. 78-82
    • Krohling, R.A.1    Rey, J.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.