Study and Development of Advanced Control and Performance Optimization Techniques for the Variable Reluctance Generator in Wind Systems

• Grant number: 25/04561-4
• Support Opportunities: Regular Research Grants
• Start date: February 01, 2026
• End date: January 31, 2029
• Field of knowledge: Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
• Principal Investigator: Pedro Jose dos Santos Neto
• Grantee: Pedro Jose dos Santos Neto
• Host Institution: Faculdade de Engenharia Mecânica (FEM). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• City of the host institution: Campinas

Abstract

The switched reluctance generator (SRG) is a promising technology for small-scale wind energy systems, offering high power density and reduced cost compared to alternatives such as induction generators and permanent magnet synchronous generators. However, efficient control of the SRG under variable-speed conditions remains a challenge due to issues such as torque ripple and difficulties in regulating the output voltage, which limit its application in distributed generation systems. This research project proposes the development of control strategies and performance optimization techniques for SRGs in small wind power systems, focusing on the integration of control approaches with artificial intelligence algorithms. The proposal is structured into two main and complementary research fronts. The first aims to study and develop a hybrid control architecture that adaptively integrates strategies such as direct power control, voltage control, and torque control, considering both grid-connected and stand-alone operating modes, as well as requirements for system stability and power quality. The second front involves the implementation of an adaptive optimization methodology based on Design of Computer Experiments (DCE), combined with intelligent algorithms such as artificial neural networks and reinforcement learning for real-time adjustment of SRG excitation parameters. Both fronts converge on the development of a robust control structure capable of optimal operation under varying wind and load conditions. The proposed methodology includes mathematical modeling, computational simulations in Matlab/ Simulink, and experimental validation on a laboratory test bench, ensuring consistency between theoretical and practical results. Expected outcomes include the development of optimized control strategies for SRGs under variable-speed wind conditions, experimental validation of the proposed techniques, the establishment of international collaborations, the training of qualified professionals, and the publication of theses, dissertations, scientific papers, and potential patents. These contributions also aim to foster partnerships with industry and strengthen the renewable energy sector in Brazil. (AU)