Applying brain emotional learning algorithm for multivariable control of HVAC systems

Authors:
N. Sheikholeslami;D. Shahmirzadi;E. Semsar;C. Lucas;M. J. Yazdanpanah
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;Center of Excellence for Control and Intelligence Processing, Department of Electrical and Computer Engineering, University of Tehran, Iran
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Year:
2006

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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.