Robust Control Based on Adaptative Fuzzy Control of Double-Star Permanent Synchronous Motor Supplied by PWM Inverters for Electric Propulsion of Ships

• Published in: Mathematics (Basel) Vol. 12; no. 10; p. 1451
• Main Authors: Ziane, Djamel, Zeghlache, Samir, Benkhoris, Mohamed Fouad, Djerioui, Ali
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2024; MDPI
• Subjects: Adaptive control; adaptive fuzzy control; Analysis; Approximation; Closed loop systems; Closed loops; Coils (windings); Control algorithms; Control systems; Controllers; Coordinate transformations; Couplings; double-star permanent magnet synchronous motor (DSPMSM); Electric inverters; Electric propulsion; Engineering Sciences; Feedback control; Fuzzy control; Fuzzy logic; Hardware-in-the-loop simulation; Inverters; Liapunov direct method; Magnets, Permanent; Mathematical models; Methods; model transformation; Nonlinear control; OPAL-RT (OP4510); Permanent magnets; Robust control; Synchronous motors; Systems stability; Tracking errors; Uncertainty; adaptive fuzzy control; OPAL-RT(OP4510); double-star permanent magnet synchronous motor (DSPMSM); model transformation
• ISSN: 2227-7390; 2227-7390
• DOI: 10.3390/math12101451

This study presents the development of an adaptive fuzzy control strategy for double-star PMSM-PWM inverters used in ship electrical propulsion. The approach addresses the current and speed tracking challenges of double-star permanent magnet synchronous motors (DSPMSMs) in the presence of parametric uncertainties. Initially, a modeling technique employing a matrix transformation method is introduced, generating decoupled and independent star windings to eliminate inductive couplings, while maintaining model consistency and torque control. The precise DSPMSM model serves as the foundation for an unknown nonlinear backstepping controller, approximated directly using an adaptive fuzzy controller. Through the Lyapunov direct method, system stability is demonstrated. All signals in the closed-loop system are ensured to be uniformly ultimately bounded (UUB). The proposed control system aims for low tracking errors, while also mitigating the impact of parametric uncertainties. The effectiveness of the adaptive fuzzy nonlinear control system is validated through tests conducted in hardware-in-the-loop (HIL) simulations, utilizing the OPAL-RT platform, OP4510.