Artificial Intelligence Based Control Methods for Speed Control of Wind Ibrbine Energy System

摘要

Many of the practical control systems utilize PID based control logic for their functionality. So, the fruitfulness of product making or the economics of an industry depends on how well these controllers are performing. The conventional way of PID tuning basically follows offline procedures, where the controller parameters are designed offline and substituted into the controller for its real-time operation. Due to this offline mechanism, the controller may not work well when they face online/real-time disturbances. This is the typical issue with the traditional offline PID tuning methods. So, the tuning procedure has to be changed to online, so that the controller gain parameters will be updated continuously with respect to the system disturbance rather than having fixed values in offline methods. By motivating from this idea, this paper proposes the use of artificial intelligence techniques, viz., fuzzy logic and neural networks for tuning the PID gain parameters. The effectiveness of these proposed online tuning methods over traditional offline tuning methods is validated by injecting various real-time disturbances into the system. The overall system simulation is done using MATLAB/Simulink tool. From the results, it is observed that the proposed methods provide better system response over the conventional methods.