New evolutionary methods for optimal design of PID controllers for AVR system

2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future

Volumn , Issue , 2009, Pages

  Mohammadi, S M A ^a   Gharaveisi, A A ^a   Mashinchi, M ^a   Rafiei, S M R ^b  

^a SHAHID BAHONAR UNIVERSITY OF KERMAN   (Iran)

^b POLITECNICO DI TORINO   (Italy)

Author keywords

AVR system; CARLA; DARLA; GA; PID controller; Reinforced learning

Indexed keywords

ADAPTIVE PID CONTROLLER; COMPUTATION BURDEN; COMPUTATION TIME; DESIGN METHOD; DESIGN VARIABLES; EVOLUTIONARY METHOD; EXTENSIVE SIMULATIONS; HIGH EFFICIENCY; OPTIMAL DESIGN; OPTIMAL RESULTS; OPTIMALITY; PID CONTROLLERS; PRACTICAL SYSTEMS; PROBABILITY FUNCTIONS; PROPORTIONAL INTEGRAL DERIVATIVE CONTROLLERS; REINFORCED LEARNING; SEARCH SPACES;

COMPUTATIONAL EFFICIENCY; CONTROLLERS; DESIGN; ELECTRIC CONTROL EQUIPMENT; GENETIC ALGORITHMS; LEARNING ALGORITHMS; OPTIMIZATION; PROPORTIONAL CONTROL SYSTEMS; REINFORCEMENT; REINFORCEMENT LEARNING; THREE TERM CONTROL SYSTEMS; TRANSLATION (LANGUAGES); TWO TERM CONTROL SYSTEMS;

ADAPTIVE CONTROL SYSTEMS;

EID: 74949103218     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PTC.2009.5281932     Document Type: Conference Paper

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