Vector Controlled Induction Motor Research Articles

Real-time implementation of SVPWM-sensorless vector control of induction motor using an extended Kalman filter

<p>In this research paper, space vector pulse width modulation (SVPWM)-sensorless vector control of an induction motor using an extended Kalman filter is presented. The aim of the proposed sensorless control method is to design, implement, and test a sensorless vector control scheme by simulation and experimental implementation. An extended Kalman filter (EKF) simultaneously estimates the rotor speed, the stator stationary axis components (<em>i<sub>αs</sub></em>, <em>i<sub>βs</sub></em>), and the rotor fluxes (<em>j<sub>αs</sub></em>, <em>j<sub>βs</sub></em>). The measured stator voltages and currents are employed as inputs for a recursive filter. Simulation results under various operating conditions validate the performances and effectiveness of the proposed observer. The experimental system consists of a host computer with two subsystems: console (SC) and master (SM). The SM subsystem converts to real-time C code, and this code is uploaded into OP5600 real time digital simulation (RTDS) for real-time execution. The obtained experimental results prove that the EKF speed observer can replace the speed or position sensor. This has the benefits of reducing the drive system’s size and overall cost as well as high system reliability.</p>

Novel Virtual Speed Sensor Design for Fault-Tolerant Vector Control for Induction Motor Drives Based on the Non-Linear Unscented Kalman Filter

Novel Virtual Speed Sensor Design for Fault-Tolerant Vector Control for Induction Motor Drives Based on the Non-Linear Unscented Kalman Filter

Optimized Kalman filters for sensorless vector control induction motor drives

<span lang="EN-US">This paper presents the comparison between optimized unscented Kalman filter (UKF) and optimized extended Kalman filter (EKF) for sensorless direct field orientation control induction motor (DFOCIM) drive. The high performance of UKF and EKF depends on the accurate selection of state and noise covariance matrices. For this goal, multi objective function genetic algorithm is used to find the optimal values of state and noise covariance matrices. The main objectives of genetic algorithm to be minimized are the mean square errors (MSE) between actual and estimation of speed, current, and flux. Simulation results show the optimal state and noise covariance matrices can improve the estimation of speed, current, torque, and flux in sensorless DFOCIM drive. Furthermore, optimized UKF present higher performance of state estimation than optimized EKF under different motor operating conditions.</span>

Quantitative feedback theory based robust speed control of vector controlled induction motor

In this research paper a method for the robust speed control of Indirect Field orient controlled induction motor (IM) is proposed. The quantitative feedback theory (QFT) in implemented to design the controller in order to achieve the desired performance for the closed loop system in the presence of uncertainties and parameter variations. In this research work the QFT based controller is designed for the simplified model of IM. The worst case of uncertainties and all possible parameter variations are taken into consideration. The IM with the controller developed is simulated using the MATLAB/Simulink and the results are analyzed and compared with the conventional proportional integral derivative (PID) controller. The time domain and frequency domain analysis of both controllers were conducted and compared. A study on the nature of electromagnetic torque and control signal is also included to justify the effectiveness of proposed controller. The simulation results verify the superior performance of the proposed robust control method compared to PID controller.

Power-Loss Ride-Through with Reduced Number of Voltage Sensors in a Cascaded H-Bridge Inverter fed Vector Controlled Induction Motor Drive

Cascaded H-Bridge (CHB) inverter-fed drives are quite popular in high-power industrial applications. However, these drives are extremely sensitive to power supply disturbances on the input grid side, such as voltage sags or short-duration power interruptions that cause the drive to trip on under-voltage protection resulting in production losses. Therefore, it is necessary to employ techniques that improve the resilience of the drive by enabling it to smoothly ‘ride-through’ such short-duration disturbances. The traditional ride-through solutions in CHB drives typically necessitate additional hardware or multiple DC link voltage sensors, which increase the cost and complexity of the system. This paper proposes a simple and cost-effective approach for power-loss ride-through in CHB inverter based vector-controlled induction motor drives. In this method, the kinetic energy stored in the rotating mass is recovered and fed back to the DC-link capacitors to keep all the DC link voltages constant during momentary supply interruptions or voltage sags. The proposed technique works by controlling the voltage space phasor without the need for extra hardware and voltage sensors at the CHB cells. The proposed scheme is experimentally validated on a 30 kW, 7-level CHB inverter based vector controlled induction motor drive.

Solar photovoltaic array fed single-stage sensorless vector control of induction motor drive for water pumping applications

Solar photovoltaic array fed single-stage sensorless vector control of induction motor drive for water pumping applications

Direct speed-flux vector control of induction motors: controller design and experimental robustness evaluation

The paper presents a general theoretical solution oftheinduction motor speed-fluxdirect vector control, which is based on the second Lyapunov method application. The structure of the direct vector control algorithm involves the use of anyasymptotic flux observer with exponential stability properties. Suchapproach led to improvement of the vector control system robustness properties. A constructive procedure for the designof correction termsof the rotor flux observer is proposed.Designed family of the flux ob-servers guarantees the exponential stability and robustification with respect ofparametric disturbances. It is shown that the proposedsolution guarantees: global exponential trackingof the speed-flux reference trajectories together with asymptotic field orientation, asymptotic exponential estimation of the rotor flux, as well as asymptotic decoupling of torque (speed) and flux control. Comparative experimental study shows that new controller providesstabilization of the control performancesas well as efficiency at nominal levelwhen the rotor active resistance changes. The proposed direct vector control structures can be used for the development of energy-efficient high performanceinduction motor drives for metalworking, packaging equipment, modern electric transport and special equipment.

Disturbance Rejection Analysis of a Robust Vector Controlled Induction Motor Drive with an Adaptive Quasi-Sliding Mode Controller

Disturbance Rejection Analysis of a Robust Vector Controlled Induction Motor Drive with an Adaptive Quasi-Sliding Mode Controller

Verification of the Improvement Effect of Artificial Intelligence Computer Control Technology on Electrical Automation Control

In order to improve the effect of electrical automation control, this paper combines the intelligent computer technology to construct the electrical automation control system, explores the principle of the active disturbance rejection controller, and applies it to the induction motor vector control system. The active disturbance rejection controller estimates the state variables of the system and their changing trends in real time through the extended state observer, compensates them by nonlinear feedback method, and provides appropriate control signals. In addition, this paper builds the induction motor active disturbance rejection control system based on ant colony algorithm and conducts a lot of simulation analysis. The research shows that the electrical automatic control system based on the intelligent computer algorithm proposed in this paper has a good electrical automatic control effect.

Design of a robust hybrid fuzzy super-twisting speed controller for induction motor vector control systems

Design of a robust hybrid fuzzy super-twisting speed controller for induction motor vector control systems

Robust Flux and Speed State Observer Design for Sensorless Control of a Double Star Induction Motor

In this paper, a robust flux and speed observer for sensorless control of a double star induction motor is presented. Proper operation of vector control of the double star induction motor requires reliable information from the process to be controlled. This information can come from mechanical sensors (rotational speed, angular position). Furthermore, mechanical flux and speed sensors are generally expensive and fragile and affect the reliability of the system. However, the control without sensors must-have performance that does not deviate too much from that which we would have had with a mechanical sensor. In this framework, this work mainly deals with the estimation of the flux and speed using a robust state observer in view of sensorless vector control of the double star induction motor. The evaluation criteria are the static and dynamic performances of the system as well as the errors between the reference values and those estimated. Extensive simulation results and robustness tests are presented to evaluate the performance of the proposed sensorless control scheme. Furthermore, under the same test conditions, a detailed comparison between the proposed state observer and the sliding mode-MRAS technique is carried out where the results of its evaluation are investigated in terms of their speed and flux tracking capability during load and speed transients and also with parameter variation. It is worth mentioning that the proposed state observer can obtain both high current quality and low torque ripples, which show better performance than that in the MRAS system.

Extremely low speed performance research of the speed sensorless vector controlled induction motor drive system

This paper proposes a new full-order adaptive observer algorithm to overcome the instability of speed sensorless vector control system of induction motor at low speed, especially at extremely low speed. The algorithm consists of the improved feedback matrix algorithm and the improved speed adaptive law algorithm. By establishing an observer state error equation considering the non-linear voltage error of the inverter and the stator resistance voltage drop, a feedback matrix was designed to reduce the effect of inverter's non-linear voltage error and stator resistance voltage drop on speed estimation. Meanwhile, this paper improves the traditional adaptive law. The basic idea is to add compensation amount equivalent to the non-linear voltage error, and the compensation amount is adaptive to the running speed and load to improve the motor speed estimation accuracy at low speed. Extensive experimental tests have been carried out to evaluate the performance of the proposed algorithm using a 2.2 kW induction motor experimental platform. The experimental results show that the algorithm presented in this paper can guarantee the stable operation of the motor under the rated-load and 180% rated-load at low, extremely low and 0 speed with good dynamic and static characteristics.

Type‐2 Fuzzy Logic controller‐based stator current Model reference adaptive system speed observer for a hybrid electric vehicle to improve transient response during limp home mode

SummaryIn this paper, a stator current‐based model reference adaptive system (SCMRAS) for indirect vector control of induction motor fed to hybrid electric vehicle (HEV) for improving the transient response during limp home period has been proposed. In the proposed SCMRAS, the measured stator currents are employed in voltage model to eliminate the integrator in reference model. The stator currents are estimated and are compared with actual current components to estimate the rotor speed. Further, to improve the performance of SCMRAS during limp home period, the PI controller in the adaptation mechanism is replaced with type 2 fuzzy logic controller (T2FLC). The prototype model of the proposed SCMRAS using dSPACE DS 1104 R&D controller board has been developed for implementing speed sensorless indirect vector control of induction motor drive. The performance of SCMRAS and proposed SCMRAS using T2FLC estimators during limp home period is compared.

Switching function parameter variation analysis of a quasi-sliding mode controlled induction motor drive

Sliding mode control is a nonlinear, robust control that is having better load disturbance rejection capability, less parameter sensitivity and fast dynamic response. Conventional sliding mode control introduces high chattering that can degrade the induction motor (IM) drive system responses. Hence, a quasi-sliding mode controller (Q-SMC) using a hyperbolic tangent function coupled with equivalent control is designed for robust speed control of vector-controlled IM drive in this work. This work focuses on the effect of variation of the switching function parameters of the Q-SMC on the performance of the drive. Extensive simulations are performed using MATLAB/Simulink software, and the switching function parameters are adjusted across a wide range and its impact on motor performance is studied qualitatively and quantitatively, with accompanying graphical results and various transient parameters. It is observed that a Q-SMC controller with a larger boundary layer width has less overshoot, less steady-state error, and a lower current THD. It is also observed that even though a high gain Q-SMC controller responds quickly, the percentage overshoot for high gain systems is likewise large. Hence, if the boundary layer width and switching gain parameters are optimized, a Q-SMC speed controller is a promising choice for a high-performance IM drive.

Limitations in Inner-Loop PI Controllers in IM Drive With an $LC$ Filter and Its Remedies

This article presents the proportional&#x2013;integral (PI) controller design, its limitation, and remedies for <inline-formula><tex-math notation="LaTeX">$dq$</tex-math></inline-formula>-axis currents in a vector-controlled voltage-source-inverter-fed induction motor (IM) drive with an inverter output <inline-formula><tex-math notation="LaTeX">$LC$</tex-math></inline-formula> filter. The idea of designing PI controllers by incorporating the <inline-formula><tex-math notation="LaTeX">$LC$</tex-math></inline-formula> filter dynamics into the IM dynamics is applied for the vector-controlled IM + <inline-formula><tex-math notation="LaTeX">$LC$</tex-math></inline-formula> filter drive. This article shows that the PI controller, a first-order controller, has limitations of stability margins and performance criteria for an IM + <inline-formula><tex-math notation="LaTeX">$LC$</tex-math></inline-formula> filter system. These limitations in the PI controller are demonstrated by deriving the complete range of stabilizing PI gains (<inline-formula><tex-math notation="LaTeX">$K_{p}$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$K_{i}$</tex-math></inline-formula>) for the IM + <inline-formula><tex-math notation="LaTeX">$LC$</tex-math></inline-formula> filter system and segregating them to satisfy the desired frequency-domain specifications. As a remedy to the limitations, this article proposes to use a second-order controller instead of a PI controller to provide better stability margins, attenuation at the resonance frequency, and more robustness. The controller design and resulting closed-loop stability are thoroughly analyzed, and the experimental results are presented to validate the same.

Simulation of Vector Control of Induction Motor Powered by Solar Panel

Solar panel is widely used in industrial applications. In this paper, DC-DC topology is used to increase the output of solar panel. This DC-DC converted voltage can convert into AC voltage by integrating an inverter which converts dc to ac by means of space vector pulse width modulation (SVPWM) technique. Design of this paper directly coupled to get the voltage from solar cell panel, DC –DC Boost converter, full bridge space vector pulse width modulation inverter, of an induction motor. The FOC vector control is used to control the speed. This is implemented using MATLAB simulink.

A Fuzzy-2 Indirect Vector Control of Induction Motor Using Space Vector Fuzzy-2 Based PWM

A Fuzzy-2 Indirect Vector Control of Induction Motor Using Space Vector Fuzzy-2 Based PWM

A Laboratory Platform for Plotting Speed-Torque Characteristics of a Vector Controlled Induction Motor

This paper presents a platform for illustrating the speed- torque characteristics of a vector controlled three-phase induction motor. The methodology is based on acquiring the estimated torque and actual speed of a three-phase induction motor and plotting the speed-torque characteristic in real time. The platform contains a graphic interface to drive the motor and acquire the data, an induction motor, an AC drive, a communication protocol between the computer and the AC drive, and a loading system for the motor based on the claw pole alternator. LabVIEW has been used for designing the control interface. This control interface includes speed adjustment, stop command, direction of rotation, and drawing the speed-torque characteristic in real time to make the student able to notice the performance of the induction motor in the vector control mode.

Observer-based speed estimation for vector controlled induction motors

A speed observer for field-oriented controlled induction drives is presented. The proposed solution exploits the concept of the classic full-order flux observer which is adaptive to the rotor resistance variations. Due to the structural similarity of the rotor speed and active rotor resistance in motor model, the speed observer can be designed using similar structure. The observer guarantees local asymptotic estimation of the rotor fluxes, stator currents and rotor speed in all operating conditions, excluding DC stator excitation. The stability properties of the observer are studied using Lyapunov’s second method. It is experimentally shown that the observer provides an acceptable dynamics of the speed estimation if speed is slowly varying. The proposed observer is suitable for the applications with medium requirements for speed regulation performance. References 13, figures 5.

Compensation of Torque-Producing Stator Current Error for Vector-Controlled Induction Motor Drives

This paper presents a detailed analysis of dynamic properties and accuracy issues of the torque-producing stator current control loop for vector-controlled induction motor drives. In this paper, a necessary mathematical description of vector control of an induction motor is shown with respect to the x-axis and y-axis current control in the rotating reference frame. A derivation of a steady-state error for the torque-producing stator current control scheme with and without a decoupling algorithm is described. The presented derivation and dynamic behavior of both these schemes were extensively tested in the MATLAB-SIMULINK software, considering different values for the moment of inertia. This solution was implemented in a DSC-based induction motor drive using a voltage source inverter to obtain experimental results. Moreover, the advantages of using the presented decoupling block for compensation of the problem are discussed at the end of the paper.