Affiliations: Tehran University of Medical Sciences, Tehran,
Iran | Department of Mechanical Engineering, Texas A&M;
University, College Station, TX 77843, USA | Department of Electrical and Computer Engineering,
Concordia University, 1455 de Maisonneuve Blvd. W., Montreal, Canada, H3G
1M8 | Center of Excellence for Control and Intelligence
Processing, Department of Electrical and Computer Engineering, University of
Tehran, Iran
Abstract: In this paper, we apply a modified version of Brain Emotional
Learning (BEL) controller for Heating, Ventilating and Air Conditioning (HVAC)
control system whose multivariable, nonlinear and non-minimum phase nature
makes the task difficult. The proposed biologically-motivated algorithm
achieves robust and satisfactory performance even though there are more than
one control inputs to the plant, which may be used to get the desired
performance. The response time is also very fast despite the fact that the
control strategy is based on satisficing decision making. The proposed strategy
is very flexible and alternative performance specifications can easily be
enforced via defining proper emotional cues. Simulation results reveal the
effectiveness of the approach.
