Use of genetic algorithms and evolutionary strategies to develop an adaptive fuzzy logic controller for a cooling coil - Comparison of the AFLC with a standard PID controller

Energy and Buildings

Volumn 45, Issue , 2012, Pages 169-180

  Navale, Rahul L ^a   Nelson, Ron M ^b  

^a EATON CORPORATION   (United States)

^b IOWA STATE UNIVERSITY   (United States)

Author keywords

Adaptive fuzzy logic controller; Evolutionary strategies; Genetic algorithms

Indexed keywords

ADAPTIVE FUZZY LOGIC CONTROLLER; AIR FLOW-RATE; COOLING COILS; EVOLUTIONARY STRATEGIES; HVAC APPLICATIONS; PID CONTROLLERS; PROPORTIONAL , INTEGRAL AND DERIVATIVE CONTROLLERS; SAVING ENERGY; SETPOINTS; SUPPLY AIR TEMPERATURE; TESTING SYSTEMS; TRAVEL DISTANCE;

ADAPTIVE CONTROL SYSTEMS; AIR CONDITIONING; ATMOSPHERIC TEMPERATURE; CONTROLLERS; COOLING SYSTEMS; EXPERIMENTS; FUZZY LOGIC; PROPORTIONAL CONTROL SYSTEMS; THREE TERM CONTROL SYSTEMS;

GENETIC ALGORITHMS;

EID: 84855236801     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2011.10.058     Document Type: Article

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