Design of Speed Control System for Induction Motor using Fuzzy Adaptive Internal Model Control Method

 Abstract:

This article presents the design of a speed control system for an induction motor employing an innovative approach known as Fuzzy Adaptive Internal Model Control (FAIMC). The primary objective of this research is to enhance the speed control performance of induction motors through the integration of internal model control and adaptive fuzzy logic.

The FAIMC method combines the strengths of Internal Model Control (IMC) as a model-based approach with the advantages of Fuzzy Logic, capable of handling uncertainty and system complexity. The focus of this study is on the adaptability of the system to load variations and external disturbances, resulting in a fast and stable response.

Keywords:

• Induction Motor
• Speed Control
• Fuzzy Adaptive Internal Model Control (FAIMC)
• Fuzzy Logic
• Internal Model Control (IMC)
• System Adaptability

Introduction: The induction motor stands as a critical component in various industrial applications, with speed control playing a central role in maintaining optimal performance. This article aims to address the challenges of speed control in induction motors by proposing the FAIMC approach, which combines the strengths of two main methods: internal model control and fuzzy logic.

Methodology: This research utilizes the mathematical model of the induction motor as the basis for FAIMC development. FAIMC designs an adaptive internal model control by adjusting fuzzy parameters based on the system's response to load changes and external disturbances. The FAIMC control algorithm is implemented and tested on a simulation system to validate its performance and adaptability.

Results and Discussion: Simulation results demonstrate that the FAIMC method can improve the speed control performance of induction motors compared to traditional methods. The system's response to variations in load and external disturbances indicates high stability and good adaptability.

Conclusion: This article contributes significantly to the development of speed control systems for induction motors. The FAIMC method provides an effective solution for improving system response and adaptability, opening up potential widespread applications in the industrial sector.

Recommendations for Future Research: For future research, it is recommended to test and implement the FAIMC method on full-scale induction motor systems in an industrial environment for practical validation. Additionally, further exploration of sensor technology and state estimation could be an intriguing direction for future research.