Controlled Induction Motor Research Articles

Field Weakening Strategy Extended to Six-Step Operation for Dual Close-loop Current Control of Induction Motors

Field Weakening Strategy Extended to Six-Step Operation for Dual Close-loop Current Control of Induction Motors

Study and Evaluation a New Predictive Control Method for Speed and Stator Current Control of Induction Motor

It is clear that modern industries rely heavily on electric motors, especially induction motors. These motors convert electrical energy into mechanical energy. The distinction in the performance of the induction motor lies in that it is powerful when exposed to various operational and environmental variables, and it is also inexpensive. However, there are many traditional disadvantages that appear during the operation of the induction motor in its non-linear mechanical properties in addition to the difficulty in regulating the speed of the motor. In this paper , we present a new control method for controlling the stator current and speed of induction motor based on current control with speed control technique. The present model is based on conventional predictive controller development with a structure which is similar to rotor control and the direct torque control .It has double loops and both loops will use the prediction power. The inner loop controls the stator current based on Finite Control Set - Model Predictive Control (FCS-MPC) and the outer loop controls the speed to maximize the dynamic response of the loop. The MATLAB software has been used to implement the controller circuit. The obtained simulation results indicates that the presented control method has comparable performance to conventional controllers with some reduction in the overshoot and fast response interval.

Enhanced Fuzzy Logic Control Model and Sliding Mode Based on Field Oriented Control of Induction Motor

Enhanced Fuzzy Logic Control Model and Sliding Mode Based on Field Oriented Control of Induction Motor

Sensorless Speed Control of Induction Motor Drives Using Reinforcement Learning and Self-Tuning Simplified Fuzzy Logic Controller

Sensorless Speed Control of Induction Motor Drives Using Reinforcement Learning and Self-Tuning Simplified Fuzzy Logic Controller

Direct Field-Oriented Control of Induction Motor with Discrete Full-Order Flux Observer

Direct Field-Oriented Control of Induction Motor with Discrete Full-Order Flux Observer

Sensorless Control of Induction Motor Based on Super-Twisting Sliding Mode Observer With Speed Convergence Improvement

Sensorless Control of Induction Motor Based on Super-Twisting Sliding Mode Observer With Speed Convergence Improvement

Super-Twisting MRAS Observer-Based Non-linear Direct Flux and Torque Control for Induction Motor Drives

Abstract This research paper proposes a novel design of an efficient combined sliding mode observer (SMO) for induction motor flux and speed estimation. The suggested sensorless technique employs the sliding mode’s second-order approach using a model reference adaptive system (MRAS). The second-order super-twisting control method is free-chattering, which lowers the chattering effect while preserving the same good features as the first-order sliding mode control (SMC). In addition, the conjunction with the MRAS as a separated speed estimator can raise the accuracy and make the observer immune to speed fluctuations, particularly for low-speed applications. Furthermore, in order to achieve effective decoupled flux–torque control, the super-twisting algorithm (STA) was combined with a non-linear feedback linearisation controller for the inner control loop construction. This strategy can boost the control system’s stability and robustness against external disturbances and modelling uncertainty. The performance analysis of the suggested methods has been carried out via simulation and experimental validation utilizing MATLAB/Simulink with the dSpace 1104 real-time interface.

Improved Direct Torque Control of Induction Motor in MATLAB

Improved Direct Torque Control of Induction Motor in MATLAB

An experimental analysis of fuzzy logic-sliding mode based IFOC controlled induction motor drive

An experimental analysis of fuzzy logic-sliding mode based IFOC controlled induction motor drive

A New Adaptive Terminal Sliding Mode Speed Control in Flux Weakening Region for DTC Controlled Induction Motor Drive

A New Adaptive Terminal Sliding Mode Speed Control in Flux Weakening Region for DTC Controlled Induction Motor Drive

Enhanced Control of Dual Star Induction Motor via Super Twisting Algorithm: A Comparative Analysis with Classical PI Controllers

Enhanced Control of Dual Star Induction Motor via Super Twisting Algorithm: A Comparative Analysis with Classical PI Controllers

Enhanced FS-PTC: Dynamic Weighting Factors for Optimal Flux and Torque Control

Recently, Finite State-Predictive Torque Control (FS-PTC) of induction motors has gained significant interest in high-performance motor drive applications. The effectiveness of FS-PTC relies on the successful minimization of a cost function achieved by selecting an appropriate voltage vector. Typically, the cost function for FS-PTC is composed of errors between the predicted and reference values of torque and flux; hence a weighting factor, \mathbit{\lambda}, is normally employed to establish different priorities between torque and flux. However, determining the optimal is a complex undertaking, since an incorrect or suboptimal choice can needlessly compromise torque or flux responses. This paper introduces an online tuning approach for the weighting factor, based on the dynamic change of flux error. Instead of using a fixed value, the weighting factor is dynamically adjusted using a simple P or PI controller. The proposed method's performance is evaluated in this paper, considering various configurations of the controller's settings. Simulation results demonstrate that the proposed technique enhances the overall torque and flux ripples across a broad range of operating speeds, surpassing the performance of the fixed value weighting factor technique.

DIRECT TORQUE CONTROL SCHEME FOR LESS HARMONIC CURRENTS AND TORQUE RIPPLES FOR DUAL STAR INDUCTION MOTOR

Multi-phase machine drives are widely used in high-power applications such as naval propulsion and railway traction. In the control context, direct torque control (DTC), based on the large voltage vectors, is the most used control for a dual-star induction motor. However, these techniques suffer from steady-state errors and torque ripples. Therefore, the stator phase currents have a non-sinusoidal waveform, which leads to high losses and reduces the drive efficiency of the system caused by considerable harmonic currents. This paper presents a modified direct torque control (MDTC) based on two steps to select the appropriate vector to supply the dual star induction motor (DSIM) and effectively reduce the harmonic currents. Moreover, this paper deals with a comparative study of 3-level, 5-level, and modified 5-level torque regulators to reduce the steady-state error and torque ripple. In addition, a PI controller is incorporated for the modified five-level torque regulator to reduce the torque error at low, medium, and high speeds. Moreover, an investigation of switching and core losses has been done for the DSIM drive. Finally, validation results have been presented to prove the effectiveness of developed direct torque control of the dual star induction motor (DSIM) under different operating conditions.

ROBUST SENSORLESS SPEED CONTROL OF AN INDUCTION MOTOR DRIVE USING A SYNERGETIC APPROACH

This paper uses a model reference adaptive system (MRAS) to build an improved sensorless rotor-field oriented control (RFOC) induction motor (IM) drive in all speed ranges. However, in the presence of external disturbances and parameter variations, the linear tuning method of the Proportional Integrator (PI) controller in the MRAS adaptation mechanism degrades motor performance. An advanced MRAS-based synergetic technique is proposed to develop two suitable adaptation mechanisms that generate slip speed and stator resistance estimates. The reference and adjustable models are developed in the synchronous rotation coordinate system (d-q frame). The effectiveness of the proposed control algorithm was evaluated under various operating conditions using a specific sensorless IM benchmark and the MATLAB/Simulink software environment.

On the Induction Motor Rotor Flux Estimation in the Electric Traction Systems with Rotor Flux-Oriented Control

Characterized by very good performance in both steady-state and dynamic regimes and also by a relatively simple control structure, the induction motor control with rotor flux orientation is frequently adopted in electric drive systems, especially in electric traction applications. This paper analyses the possibilities of rotor flux estimation in a real Romanian electric traction system of locomotives. Thus, to estimate the magnitude of rotor flux and the angu-lar position of the rotor flux vector, two possibilities are identified and discussed. First, the use of the sensed speed and stator currents is taken into consideration, and then the use of the measured supply voltages and the stator currents is the second alternative. Dedicated algorithms were designed for their related control. Both variants are analyzed through the results of the simulations obtained based on the specific models created in the Matlab/Simulink software. Four values of the imposed speed are taken into account in the performed analysis. It is highlighted that, in real conditions where the drive system is provided with speed sensor and there is no sine filter for the distorted motor supply voltage, the best option to estimate the rotor flux is to use the measured speed and the stator currents.

Implementation of Indirect Field Oriented Control Using Space Vector Pulse Width Modulation for the Control of Induction Motor

For the efficient speed control of three phase Induction motor, the Vector control or Field oriented control (FOC) technique is used for the Voltage source inverter. In implementing FOC the angular position of the rotor flux vector is to be determined. There are two methods (direct and indirect) of vector control for the evaluation of rotor angle. In an Indirect field-oriented control (IFOC) method rotor angle is estimated from slip frequency and rotor frequency without using a sensor (sensors are used in direct FOC) which are achieved in a synchronously rotating frame. IFOC produces high performance in induction motor drives by decoupling rotor flux and torque, so it can be separately controlled by stator direct-axis current and quadrature-axis current respectively, like in a DC motor. The rotor flux orientation method is used for incorporating PI control system using the Space Vector Pulse Width Modulation (SVPWM) technique. The Induction motor drive control generally involves three different PI controllers for torque, speed, and flux respectively. Through the simulation result, varying the load torque, and reference speed is achieved within a few milliseconds, and the behavior of the separately excited DC motor is observed.

Direct Torque Control Based Two Quadrant Analog Torque Controller for Squirrel Cage Induction Motor

High performance variable speed drives have become indispensable for the modern age industry where the product quality and productivity are of utmost importance. Because of the many drawbacks of dc drives, research attention has been focused toward ac drives, mainly induction motor drives. The ac drives have evolved over the years with improved transient torque output response that closely matches the response obtained from dc drives. This paper presents a complete hardware based two quadrant analog torque controller for squirrel cage induction motor based on the Direct Torque Control (DTC) scheme. The proposed analog torque controller may find its own niche area of application, for example, in packaging industries where mostly small and medium sized drives are used. The two quadrant analog torque controller has been implemented as a simple hardware circuit based on the DTC scheme. The implementation is done using commonly available low-cost hardware components.

A Fuzzy-Based Proportional–Integral–Derivative with Space-Vector Control and Direct Thrust Control for a Linear Induction Motor

In this study, the analysis and control of a multi-phase linear induction motor loaded with a variable mechanical system are carried out. Mathematical models are established, and simulation results are analyzed for an improved proportional–integral–derivative controller with closed-loop vector control for PLIM. To make the PID controller more responsive to load thrust disturbances, a fuzzy PID load thrust observer was developed. The FPID is similarly based on space-vector modulation DTC technology to regulate the PLIM’s speed, flux, and thrust. The FPID output is used to calculate the reference thrust force, which is compared to the actual thrust value to calculate the second error. To maintain the linear speed of the PLIM at the specified reference values and at different load values, the FPID controller settings are adjusted. Four indicators were used to compare the capabilities of the FPID controller with those of the conventional PID controller in order to evaluate the performance of PLIM in both cases. These indices represent the individual SSE for each operational phase and the total SSE for the entire loading period. According to the simulation results, the FPID works better than a regular PID when used to adjust the operation of DTC-SVM to drive a PLIM to improve the overall system performance. The simulation results using MATLAB Simulink for a PLIM-drive system show that the proposed FPID control provides improved control behavior and operating performance with fast and accurate speed tracking.

Control of Three-Phase Squirrel Cage Induction Motor by Field Acceleration Method (FAM) for E-Mobility

The rapid electrification of mobility systems has fuelled the demand for advanced control techniques that can enhance the performance and efficiency of electric vehicles (EVs). In this context, this paper introduces the Field Acceleration Method (FAM) as a control strategy for three-phase squirrel cage induction motors, specifically tailored for e-mobility applications. FAM has not been previously simulated or tested practically in the context of electric mobility, making this study a pioneering effort. Induction motors are widely employed in electric vehicles, and various control methods such as the Indirect Field-Oriented Control (IFOC) gained popularity for its effectiveness in achieving precise and efficient motor control. In this research, FAM is simulated using MATLAB, and the results demonstrate its suitability for electric vehicle control applications. FAM exhibits the potential to achieve rapid speed responses, making it a promising alternative to established control techniques. The outcomes of this study highlight the applicability of FAM in improving the dynamic performance of EVs, contributing to the ongoing efforts to enhance the efficiency and responsiveness of electric mobility solutions. This research paves the way for practical implementations of FAM in electric vehicles, potentially revolutionizing the field of EV motor control.

Dual-Vector-Based Predictive Torque Control for Fault-Tolerant Inverter-Fed Induction Motor Drives With Adaptive Switching Instant

Four-switch three-phase inverter (FSTPI) is widely applied as a fault-tolerant topology of six-switch three-phase inverter (SSTPI) with an open-phase fault or as a cost-effective topology due to the reduced semiconductor power switches. However, conventional single-vector-based predictive torque control (SV-PTC) for FSTPI-fed induction motor (IM) presents poor steady-state performance and requires high sampling frequency. To address these issues, a dual-vector-based PTC (DV-PTC) for FSTPI-fed IM with adaptive switching instant is proposed in this article. Therein, two optimal voltage vectors are determined in each sampling period, and a simplification strategy for selecting the optimal voltage vectors is established. A switching instant adaptation scheme is developed to improve the steady-state performance of machine control. An optimized overmodulation strategy is proposed to improve the transient-state performance of machine control and reduce the computational burden in digital implementation. Extensive experimental studies validate the effectiveness and superiority of the proposed DV-PTC scheme.