• Objective: To improve control accuracy, enhance dynamic response, and reduce torque/flux ripples in AC drives by incorporating a more accurate system model into the control algorithm.
• State-Space Model: Unlike simple Euler approximations, this method uses a discrete-time state-space model that accurately represents the induction machine, including the time-varying rotor speed term.
• Methodology:
  • Modeling: A discrete-time model of the induction machine is updated at every sampling instant.
  • Prediction: The algorithm predicts future stator current and flux values for each of the eight possible voltage vectors generated by a two-level inverter.
  • Cost Function Optimization: A cost function, which often includes torque error, flux magnitude error, and sometimes switching frequency constraints, is evaluated for each prediction.
  • Selection: The voltage vector that minimizes the cost function is selected for the next sampling interval.
• Key Features:
  • Flexibility: The structure allows for the easy inclusion of system non-linearities, constraints, and operational limitations (e.g., overcurrent protection).
  • Fast Response: Provides superior dynamic response compared to traditional DTC

Reference paper:
Miranda, H., Cortés, P., Yuz, J.I. and Rodríguez, J., 2009. Predictive torque control of induction machines based on state-space models. IEEE Transactions on Industrial Electronics, 56(6), pp.1916-1924.

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Sliding Mode Direct Torque Control (SM-DTC) of an induction motor enhances traditional DTC by replacing hysteresis controllers with sliding mode controllers (SMC) to reduce torque/flux ripples and increase robustness against parameter variations. It offers fast dynamic response, lower total harmonic distortion (THD), and, in many cases, constant switching frequency.

• Reduced Ripples: Unlike conventional DTC, which uses hysteresis comparators resulting in high torque/flux ripple, SM-DTC uses a smooth sliding surface to reduce these ripples.
• Robustness: SMC provides strong, reliable control even under varying motor parameters and load disturbances.
• Reduced Switching Frequency Variations: The approach helps to stabilize the inverter switching frequency, decreasing acoustic noise.
• Methodology: It involves designing two distinct sliding surfaces for flux and torque control, using Lyapunov stability theory to design the control signals.
• Implementation: Often simulated using MATLAB-Simulink to confirm enhanced transient performance and lower overshoot compared to classic DTC. 

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DB-DTFC is a model inverse digital control method that computes volt-sec solutions to manipulate both air-gap torque and stator flux linkage to the desired value in one inverter switching period and constant switching frequency is used for implementation. As a result, smooth and fast response for torque and stator flux can be achieved via DB-DTFC in one-step using rather simple methods.

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References:
1. Preindl, Matthias, and Silverio Bolognani. “Model predictive direct torque control with finite control set for PMSM drive systems, Part 1: Maximum torque per ampere operation.” IEEE Transactions on Industrial Informatics 9, no. 4 (2013): 1912-1921
2. Preindl, Matthias, and Silverio Bolognani. “Model predictive direct torque control with finite control set for PMSM drive systems, part 2: Field weakening operation.” IEEE Transactions on Industrial Informatics 9, no. 2 (2012): 648-657

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A sensorless speed control strategy for a permanent-magnet synchronous motor (PMSM) based on a new sliding-mode observer (SMO), which substitutes a sigmoid function for the signum function with a variable boundary layer. In order to apply a sensorless PMSM control which is robust against parameter fluctuations and disturbances, a high-speed SMO is proposed, which estimates the rotor position and the angular velocity from the back EMF. In the conventional SMO, a low-pass filter and an additional position compensation of the rotor are used to reduce the chattering problem that is commonly found in the SMO using the signum function. In order to overcome the time delay caused by the low-pass filter, in this research, a sigmoid function is used for the switching function instead of the signum function. Also, the variation in the stator resistance is estimated to improve the steady-state performance of the SMO. The stability of the proposed SMO was verified using the Lyapunov second method to determine the observer gain.

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A nonlinear speed control strategy for a PMSM system uses a combination of sliding-mode control (SMC) and disturbance compensation to achieve high-performance speed regulation despite nonlinearities, parameter uncertainties, and external load disturbances. The SMC provides robustness by forcing the system’s state to a predefined sliding surface, while the disturbance compensation (often using a disturbance observer) actively estimates and cancels out unwanted effects. These techniques are often combined with novel reaching laws to improve performance and reduce chattering

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This project presents the MATLAB/Simulink implementation of Direct Torque Control (DTC) for a Permanent Magnet Synchronous Motor (PMSM), focusing on high-performance motor drive applications. The DTC strategy directly controls the electromagnetic torque and stator flux of the PMSM without requiring complex coordinate transformations or current regulators, resulting in a fast dynamic response and robust control.

The developed model includes a PMSM drive system, voltage source inverter (VSI), hysteresis controllers, torque and flux estimators, and switching logic. The simulation demonstrates effective torque control, reduced response time, and improved system stability under varying speed and load conditions.

This project is ideal for students, researchers, and engineers working in electric drives, electric vehicles, robotics, and industrial automation. It serves as a practical reference for understanding advanced motor control techniques and implementing them using MATLAB/Simulink.

Key Features:

• Complete MATLAB/Simulink model of PMSM with DTC

• Torque and stator flux estimation

• Hysteresis-based control strategy

• Fast dynamic response and robust performance

• Analysis under variable load and speed conditions

Applications:

• Electric vehicle drive systems

• Industrial motor drives

• Robotics and automation

• Renewable energy and traction systems

This project provides a hands-on learning experience in modern motor control and helps bridge the gap between theoretical concepts and real-world drive applications.

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Costa, Bruno Leandro Galvão, Clayton Luiz Graciola, Bruno Augusto Angélico, Alessandro Goedtel, Marcelo Favoretto Castoldi, and William Cesar de Andrade Pereira. “A practical framework for tuning DTC-SVM drive of three-phase induction motors.” Control Engineering Practice 88 (2019): 119-127.

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(217) Predictive Torque Control of Induction Motor Drive – YouTube

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