Comparative Study And Control System Design For 4 Level Tank Systems (Non-Linear) Using Pid And Brain Emotional Learning Based Intelligent Controller
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
Adaptive control systems have been always under extensive modern research. It has great importance in modern control systems. A lot of intelligent controllers have been modeled and are in use in modern control systems and process industry. A lot of challenges are present in controlling the systems with both linearity and non-linearity efficiently. A lot of adaptive learning mechanisms based on Artificial Intelligence like Neural Networks, Fuzzy Control systems, PSO etc have been implemented so far. In this work, we present a limbic model of adaptive learning based on Mammalian Brain emotion control mechanism. We have chosen a non-linear system – 4-Level Tank control systems to demonstrate the properties of the BELBIC controller. Also, we have presented a comparative analysis between the static Industrial controllers like PID Controller and our BELBIC Model.The simulation of the 4-level tank system has been simulated. In our simulation results, it is observed that BELBIC is found to be more stable and robust than PID controller. Thus, this shows that BELBIC can be used for controlling non-linear systems efficiently and more robustly with great intelligent adaptively.
Authors and Affiliations
Abhijeet Dwivedi, Er. Roshan Nayek
Keywords
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