Faculty of Engineering and Environment, Northumbria University Newcastle.
World Journal of Advanced Research and Reviews, 2026, 30(02), 936-946
Article DOI: 10.30574/wjarr.2026.30.2.1334
Received on 06 April 2026; revised on 11 May 2026; accepted on 13 May 2026
This study addresses the challenge of selecting an effective control strategy for induction motor drives to achieve optimal performance under varying operating conditions. Although induction motors are widely used in industrial applications due to their efficiency and durability, there remains a gap in understanding the comparative performance of scalar control and field-oriented control (FOC), particularly in terms of dynamic response and steady-state operation across different speeds and load conditions. To bridge this gap, the study employed MATLAB/Simulink to model and simulate both control techniques using standard industrial motor parameters. Scalar control was implemented using a constant voltage-to-frequency (V/f) ratio approach, while FOC was designed to decouple torque and flux components for enhanced motor control. The performance of both methods was evaluated under startup, transient, and varying load conditions. The findings revealed that scalar control offers a simple and reliable solution for steady-state and low-to-medium performance applications, although it experiences slower dynamic response and transient oscillations during startup. In contrast, FOC demonstrated faster stabilization, improved transient response, and more precise control during dynamic load changes, making it more suitable for high-performance industrial applications. The study therefore provides valuable insight into the strengths and limitations of each control strategy, assisting engineers in selecting the most appropriate method for specific induction motor drive applications.
Control Strategy; Induction Motor drives; Load conditions; Model; Dynamic Load changes
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Amaechi Egwu. Modeling and simulation of scalar and vector control strategies for industrial induction motor applications. World Journal of Advanced Research and Reviews, 2026, 30(02), 936-946. Article DOI: https://doi.org/10.30574/wjarr.2026.30.2.1334