Design an‎d simulation of the flux angle control method in order to increase efficiency in induction motors

9/21/2025 12:00:00 AM

This research aims to conduct a comprehensive study an‎d analysis of various loss minimization methods in electric motors, with a particular focus on control systems an‎d strategies. Given the increasing importance of reducing energy losses in electromechanical systems an‎d enhancing their operational efficiency, a precise understan‎ding of control methods that effectively contribute to loss reduction is of critical significance. As an initial step, the theoretical foundations related to energy losses in electric motors are examined, an‎d different types of losses—including copper losses, iron losses, an‎d mechanical losses—are analyzed. Subsequently, control techniques that play a vital role in minimizing these losses are reviewed. These include traditional approaches such as vector control an‎d direct torque control, as well as modern methods like model predictive control (MPC), which serve as effective platforms for implementing optimization strategies. This research endeavors to provide a comparative analysis of recent studies in this field, identifying the strengths an‎d limitations of each method an‎d highlighting the necessity of developing more precise an‎d hybrid control schemes for induction motors. A novel control approach based on flux angle control is then designed, simulated, an‎d implemented as an effective strategy for loss minimization in induction motors. By employing an accurate dynamic model of the motor, this method enables optimal control over the magnetic flux distribution within the motor, resulting in a significant reduction in losses due to magnetic saturation an‎d eddy currents. Simulations conducted in MATLAB/Simulink demonstrate the effectiveness of this approach in improving dynamic performance an‎d reducing energy consumption. Moreover, an advanced structure of model predictive control has been developed in which the flux angle is introduced as a new control variable. Implemented in a sequential, step-by-step manner, this method utilizes the predictive model of the system along with operational constraints to enhance control performance an‎d achieve more precise regulation of critical variables such as torque an‎d flux. One of the main advantages of this approach is its increased flexibility an‎d accuracy in adjusting control parameters, ultimately leading to further loss reduction, improved system stability, an‎d more reliable operation under varying load conditions. Experimental results an‎d analyses conducted throughout this research confirm the superiority an‎d effectiveness of the proposed methods compared to conventional induction motor control strategies. In conclusion, this study demonstrates that integrating novel flux angle control approaches with advanced model predictive control frameworks can provide a highly effective solution for optimizing electric motor performance. These findings may serve as a foundation for the development of a new generation of intelligent an‎d energy-efficient drive systems in a wide range of industrial applications.

موتور القايي , كنترل زاويه شار , بهينه سازي تلفات

Induction Motor , Flux Angle Control , Loss Minimization

Ali Haddadi

Davood A.Khaburi