Genetic Algorithm and Particle Swarm Optimization tuned Fractional Order Pitch Angle Control

Modelling and control of complex non-linear systems is always important area of investigation in different fields of engineering applications. Since last decade fractional order control emerge as an efficient strategy for modelling and control of complex non-linear systems and shown the efficiency. Also, recently intelligent control strategies based on various AI techniques shown their efficiency in various fields such as process control, power system, renewable energy, etc. This paper applies Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) tuned intelligent fractional order pitch regulator for doubly fed induction generator (DFIG) based wind turbine (WT) system. Proposed scheme is modelled and simulated using Matlab/Simulink to analyze its time domain performance for a step input as well as tracking response with ITAE and IAE index.