Electric Vehicle Transient Speed Control Based on Vector Control FM-PI Speed Controller for Induction Motor

Abstract

The speed control of induction machines for multiple-speed handling is critical. When the vector control method is applied to induction machines, it has a significant impact on speed utilization. This strategy of operating the machine at a fixed predefined speed mode presents better results for electric vehicles. An effective model for a speed control loop is proposed in this paper, using a fixed-mode proportional integral (FM-PI) controller based on an upper and lower limit torque limiter. The power supply is fed using a lithium-ion battery with an inverter-fed mechanism. Moreover, the proposed model is validated using simulations with user-defined speed modes (40, 60, and 80 km/h). These speed modes, with different torque commands, have been considered for advanced modeling. In this model, torque is developed via a closed-loop control operation to attain the required speed assigned by the user. The sensors are used to collect data, and a multiple regression algorithm analyzes the dataset to predict input parameters (voltage (Vab), phase current (I), and torque (T)) required to achieve the desired speed mode. The efficiency of the proposed model is compared with induction motors bearing the same rating for the loaded and unloaded speed test. Effective machine parameter control is achieved by reaching the desired performance levels of 94.37% and 78.30% in a shorter time for the loaded and unloaded modes. A speed response comparison of the FOPID, KW-WOA-PID, SVR-PI, and FM-PI controller model simulation results indicates that the FM-PI speed controller guarantees better performance and displays an improvement in rising time and settling time, compared to other controllers. The implementation of different driving scenarios proves the model’s effectiveness for robust speed applications.

Energy Optimization for Agriculture and Agroengineering Systems

“…A paper [9] describes the use of nuclear magnetic resonance spectroscopy as a non-targeted tool to monitor variations in the metabolic profile of anaerobic bioreactor microcosms, simulating the treatment of food production wastewater exposed to benzalkonium chloride, a key quaternary ammonium compound. An effective model for a speed control loop is proposed in the paper [10], using a fixed-mode proportional integral controller based on an upper and lower limit torque limiter. In this model, torque is developed via a closed-loop control operation to attain the required speed assigned by the user.…”