Rider Optimization Algorithm implemented on the AVR Control System using MATLAB with FOPID

Considering the higher flexibility in tuning procedure and better control movement of the fractional-order proportional integral derivative (FOPID) controller over the traditional proportional integral derivative (PID) controller, this paper explores its application in the automatic voltage regulator system. FOPID contains five tuning boundaries when it appeared differently concerning three in the standard PID controller. The additional tuning handles in FOPID give extended control versatility and careful control action, in any case, their thought makes the tuning system progressively erratic and monotonous. Thusly, the knowledge of the Artificial Intelligent (AI) strategy called Rider Optimization Algorithm (ROA) is utilized to get a perfect mix of FOPID gains which further incited the perfect transient response and improved adequacy of the considered AVR system. To favor the introduction pervasiveness of the proposed approach its relating structure’s dynamic response is differentiated and that of the other striking AI-based philosophies researched in progressing composing. Besides, the quality examination of the proposed AVR structure is finished by evaluating its pole/zero and bode maps. Finally, the intensity of the proposed overhauled AVR system against the structure’s boundary assortment is evaluated by moving the time constants of all the four pieces of AVR: amplifier, exciter, generator, and sensor) from - 50 to +50% self-governing.