Open AccessOptimal Fractional-Order PI Control Design for a Variable Speed PMSG-Based Wind Turbine
Author(s) -
Sarir Noureddine,
Sebaa Morsli,
Tayeb Allaoui,
Mouloud Denaï
Publication year - 2021
Publication title -
journal européen des systèmes automatisés/journal européen des systèmes automaitsés
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.16
H-Index - 20
eISSN - 2116-7087
pISSN - 1269-6935
DOI - 10.18280/jesa.540615
Subject(s) - control theory (sociology) , settling time , particle swarm optimization , pid controller , permanent magnet synchronous generator , wind power , robustness (evolution) , overshoot (microwave communication) , electronic speed control , wind speed , turbine , variable speed wind turbine , computer science , control engineering , step response , mathematics , engineering , magnet , mathematical optimization , temperature control , physics , control (management) , artificial intelligence , chemistry , telecommunications , biochemistry , mechanical engineering , electrical engineering , gene , meteorology
This paper focusses on the design of optimal control strategies for a variable-speed wind energy system based on Permanent Magnet Synchronous Generator (PMSG). The fractional order PI controller, denoted PIλ, is an extension of the classical PI controller, which provides greater flexibility, better performance and robustness, however the tuning of the controller parameters is challenging. In this work, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) provide approximate solutions to various problems and form a good optimization. In our system, they are used to have the PI regulator parameters and tune the parameters of the proposed controllers. The proposed controllers have been applied as maximum power point (MPPT) controllers for the wind turbine and to regulate the PMGS currents under variable weather conditions and. The results show that, among all these controllers, the fractional order PI controller optimized by the PSO leads to better performance in terms of the transient response characteristics such overshoot, rise time and settling time.