Trajectory tracking performance comparison between genetic algorithm and ant colony optimization for PID controller tuning on pressure process

Computer Applications in Engineering Education

Volumn 20, Issue 3, 2012, Pages 518-528

  Ünal, Muhammet ^a   Erdal, Hasan ^a   Topuz, Vedat ^a  

^a MARMARA UNIVERSITY   (Turkey)

Author keywords

ant colony optimization algorithm; artificial neural network; genetic algorithm; PID controller; pressure process

Indexed keywords

ANT COLONY OPTIMIZATION; CONTROLLERS; COST FUNCTIONS; ELECTRIC CONTROL EQUIPMENT; GENETIC ALGORITHMS; NEURAL NETWORKS; PROPORTIONAL CONTROL SYSTEMS; THREE TERM CONTROL SYSTEMS; TRAJECTORIES; TUNING;

ANT COLONY OPTIMIZATION ALGORITHMS; CONTROL LABORATORY; ENGINEERING COURSE; NONLINEAR BEHAVIOR; PID CONTROLLER TUNING; PID CONTROLLERS; REFERENCE SIGNALS; TRAJECTORY TRACKING;

PROCESS CONTROL;

EID: 84864669095     PISSN: 10613773     EISSN: 10990542     Source Type: Journal    
DOI: 10.1002/cae.20420     Document Type: Article

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