A robust multi-stage FOPI(1+PIDn) controller for precision control of switched reluctance motors under nonlinear and uncertain conditions
Energy Reports, cilt.15, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 15
- Basım Tarihi: 2026
- Doi Numarası: 10.1016/j.egyr.2026.109231
- Dergi Adı: Energy Reports
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Directory of Open Access Journals
- Anahtar Kelimeler: Controller optimization, Dynamic response, FOPI controller, FOPI(1+PIDn), Nonlinear systems, PSO-TVAC, Speed regulation, Switched reluctance motor, Torque ripple minimization, Uncertain conditions
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Bursa Uludağ Üniversitesi Adresli: Evet
Özet
Switched reluctance motors (SRMs) are recognized for their robustness, simplicity, and cost-effectiveness, yet they face inherent challenges in precise speed regulation and torque ripple minimization due to their doubly salient structure and nonlinear magnetic characteristics. This study introduces a novel and high-performance FOPI(1+PID n) multi-stage controller, specifically designed to address these critical limitations. The proposed control strategy synergistically integrates a fractional order proportional integral (FOPI) controller in the primary stage to enhance stability and transient response, with a proportional integral derivative controller augmented with a derivative filter (PID n) in the subsequent stage to improve dynamic adaptability and noise rejection. To achieve optimal tuning of controller parameters, a particle swarm optimization with time-varying acceleration coefficients (PSO-TVAC) is employed, using a robust cost function that simultaneously minimizes speed and current errors over simulation time. The effectiveness of the FOPI(1+PID n) controller is rigorously validated through extensive simulations in MATLAB/Simulink under a range of adverse conditions: no-load, static and dynamic loads, time-delay-induced nonlinearity, stepwise load increments, and parameter uncertainties for sensitivity analysis. Comparative assessments against conventional PID, PID n , and FOPID controllers demonstrate that the proposed controller consistently achieves superior performance, with an average improvement exceeding 45% across key dynamic response metrics including rise time, settling time, overshoot, and torque ripple. Notably, the proposed controller exhibits a 57% reduction in the cost function, a 65% reduction in integral of squared error (ISE), and enhanced robustness under uncertainty, establishing its efficacy for real-time control applications in SRMs. This work advances the state-of-the-art by offering a simple yet powerful control architecture that fuses classical and modern optimization techniques to deliver ultra-fast speed tracking, significant torque ripple attenuation, and strong resilience against nonlinear disturbances, thus broadening the operational viability of SRMs in precision-demanding industrial applications.