Abstract
In a process industry, the control of temperature is a significant requirement. The various conventional control schemes using PID controllers and soft computing-based controllers such as neural networks and fuzzy logic controllers have been implemented for the temperature control system in the industry. In this paper, the emotional behaviour-based controller called brain emotional learning-based intelligent controller (BELBIC) is implemented for continually stirred tank heater (CSTH) and its performance is compared with that of conventional proportional integral (PI) controller for various test conditions. The simulations are performed for: set point tracking, disturbance rejection and multi-set point tracking. It is observed that BELBIC gives better response as compared to PI controller in terms of performance parameters for different test conditions.
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Sharma, M.K., Kumar, A. (2015). Performance Comparison of Brain Emotional Learning-Based Intelligent Controller (BELBIC) and PI Controller for Continually Stirred Tank Heater (CSTH). In: Maharatna, K., Dalapati, G., Banerjee, P., Mallick, A., Mukherjee, M. (eds) Computational Advancement in Communication Circuits and Systems. Lecture Notes in Electrical Engineering, vol 335. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2274-3_32
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DOI: https://doi.org/10.1007/978-81-322-2274-3_32
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