Comparative performance analysis of intelligent controllers for solar tracking system

Solar Energy is the cleanest, cheapest and the most abundant form of renewable energy source that could complement the conventional fossil fuels but the continuous change in the position of the sun relative to earth reduces the power produced by it. In order to overcome this problem, solar tracking system are used to increase the efficiency of the photo voltaic panel. The conventional PID controllers are used for controlling linear and negligible lag system. For controlling non linear system the conventional con-trollers does not work effectively, therefore for such system intelligent control techniques are needed. This paper elucidates the performance comparative analysis of three intelligent controllers based on Artificial Neural Network which are Model Predictive Controller, Nonlinear Auto Regressive Moving Average (NARMA-L2) Controller and Adaptive-Network-Based Fuzzy Inference System (ANFIS) Controller. The simulation of the above controllers are done using MATLAB/ SIMULINK. Copyright (c) 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the 2022 International Con-ference on Materials and Sustainable Manufacturing Technology.