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     2026:7/2

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

Hybrid AI Control of Induction Motor Speed: Integrating PI and DTC with Case Study

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Abstract

This research presents the design and implementation of an intelligent control system for a three-phase induction motor operating in a water supply project in the Al-Moqdadia zone of Diyala Governorate, Iraq. The system's purpose is to achieve efficient and dependable control of a water pump with a design capacity of 550 m³/h and an employed height of 540 m. The research relies on system simulation using MATLAB/Simulink to develop a Direct Torque Control (DTC) approach supported by a Proportional-Integral (PI) controller for speed control. Methodology: An integrated simulation model was constructed that included the three-phase induction motor, the inverter, and the control algorithms. The control plan is based on two main ethics: the first is a traditional PI speed controller that produces the essential torque reference based on the error signal between the reference speed and the actual motor speed. The second element is the DTC controller, which is directly responsible for producing inverter working pulses based on the instantaneous expected torque and flux values. This is achieved through voltage and current monitoring, using a switching table that regulates the inverter to its optimal operating state, enabling rapid torque response with minimal or negligible ripple.
This study demonstrates the feasibility and efficiency of applying Direct Torque Control (DTC) to control induction motors in high-performance pumping applications. The designed system offers a reliable and cost-effective solution that meets the stringent operational requirements of the Al-Moqdadia water project, ensuring a steady water flow while achieving high energy efficiency. The study recommends future structure enhancements by replacing the PI controller with an intelligent controller based on artificial neural networks (ANNs) to develop performance under nonlinear operating conditions and further reduce ripple. 
 

How to Cite This Article

Khalid G Mohammed (2025). Hybrid AI Control of Induction Motor Speed: Integrating PI and DTC with Case Study . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 6(6), 687-693.

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