Applying brain emotional learning algorithm for multivariable control of HVAC systems
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- Journal of Intelligent and Fuzzy Systems
دوره 17 شماره
صفحات -
تاریخ انتشار 2006