Research of sensorless control for multiphase induction motor based on high frequency injection signal technique

Induction motor is a cast of alternating current motor where charge endures allotted to the rotor close-at-hand deputation of conductive charge. These motors are broadly applied in industrial claim due to they are arduous along with adhere no contacts. The speed controller of deltoid phase induction motor is applied to alleviate the aberration of speed. The central constructivist of this paper is to accrue the performance of speed sensorless control of three phase induction motor. To increase its performance, this paper presents a modified method for speed controller of an indirect vector-controlled induction motor drive using cloud computing technique. Our methodology depends on speed sensorless scheme to obtain the speed signal feedback; the speed estimator is based on model reference adaptive control that uses the stator current and rotor flux as state variables for estimating the speed. In this method, the stator current error is represented as a function of first degree of the estimated speed error. An analysis and simulation of the tried algorithm is birthed and applied easing a TMS320C31 floating-point notational alert Processor. And accumulate the action of the three phase induction motor we conceived our appraisals affixed to the accountant based on cloud computing tactics. This intelligent policy uses the guidelines of the speed controller efficiently. Simulation and experimental results depicted that the motor speed is decelerated articulately to destine its illusion apprise without above and inferior smack and with about zero steady state error. The apprised accelerate alert and its dispatching buoy amassed off line from burlesque. After effects display an advantageous affinity among the accounted speed alert and it's dispatching allocated as well as aped speed flares.

In recent years, AC induction motors have replaced DC motor. The most important reason for this is that DC motors have a mechanical brush and commutator system that is subject to wear and tear over time. While DC motor drivers need a lot of maintenance due to this system, induction motors do not require almost any maintenance since this system is not available. In recent years, technological advances in the field of multiphase induction motors have led to a significant evolution. A lot of research has been done around the world and a lot of new and interesting developments have been reported to the literature. This paper provides information about six-phase induction. In addition, what kind of advantages the concept of multiphase provides and how this structure is formed contains information about them. The six-phase induction motor will be simulated through the MATLAB/SIMULINK package program and compare with three phase induction motor. Both motors were run in simulation using the same parameters. At the end of the simulation, current, moment and speed graphs of the six-phase induction motor and three-phase induction motor will be drawn according to time. The study also included equations used during modeling and equivalent circuits belonging to a six-phase induction motor. It has been graphically shown that a six-phase induction motor is more advantageous than a three-phase motor. For example, in six-phase induction motors, the transition time to a continuous state is shorter. In addition, while the frequency of torque vibration increases, its amplitude decreases, the current value of each phase decreases, the stator copper losses are less than the three-phase induction motor. In motors, usually the power needed is divided by the number of phases. So the more phases there are, the greater the power carrying capacity. Today, multi-phase induction motor drives are used in special applications such as electric vehicles, space technology, aerospace applications, as moving power on ships, electric trains, which require high reliability and power.

Based on studying the transform theory of the multiphase system and the rotor field oriented control (RFOC) of multiphase induction motor (IM), the mathematical modulation of RFOC used in multiphase IM with closed-loops of harmonic currents is modeled. It can be used to solve the problems of harmonic currents in the conventional vector control of multiphase IM. The fundamental current and each of harmonic currents can be controlled independently for decoupling. The harmonic currents can be restrained effectively. In the paper, a nine-phase IM is proposed to verify the hypothesis. Experimental results confirm the theoretical analysis well. The paper further achieves the technology of electronic pole changing (EPC) under RFOC of multiphase IM. It is feasible for multiphase IMto realize pole-changing without cutting off the power and the EPC proposed could effectively extend the operational range of constant power in multiphase IM.

This project investigates the application of model reference adaptive system (MRAS) for the speed sensorless control of an induction motor. The rotor speed can be accurately estimated by employing the closed-loop observer named reactive MRAS. Therefore, this observer eliminates the need of a speed sensor for the control of the motor speed. The method is robust to stator and rotor resistance variations due to change of temperature. The dynamic system equations of the induction machines are formulated, and the motor control system performance is studied. Both scalar voltage-to-frequency (V/f) control and vector field oriented control (FOC) schemes, implemented using digital signal processor (DSP), are investigated. The design of the speed sensorless DSP-based controller is completed. Software packages have been developed to implement the design. An experimental system using the proposed controller has been built. Various tests have been conducted to verify the technical feasibility of the control technique. The experimental results confirm the feasibility of the proposed speed sensorless V/f control scheme using MRAS speed estimator. The designed V/f profile has been tested. Even with step change of the load or that of the command speed, the system can achieve the correct steady state after a short transient operation. The experimental results also confirm the feasibility of the proposed speed sensorless FOC control scheme using MRAS speed estimator. The current regulators meet the design requirements. Both the flux-producing current component and the torque-producing current component can be controlled separately. In the implementation, digital signal processor (DSP) TMS320 FL2407 and voltage source inverter (VSI) Skiip 342GD120-316CTV are employed. The modular strategy is adopted to develop the software package.

This paper describes two alternative variable speed motor drive systems for washing machine applications. Three phase induction motors with tachometer feedback and direct drive permanent magnet synchronous motors with hall sensor feedback are two drive systems commonly used in North American washers today. Appliance manufacturers are now evaluating sensorless drive systems because of the low reliability and high cost of the speed and position feedback sensors. A Field Oriented Control Algorithm with an embedded rotor flux and position estimation algorithm enables sensorless control of both permanent magnet synchronous motors and induction motors. The estimator derives rotor shaft position and speed from rotor flux estimates obtained from measured stator currents and the applied voltages. Sampling of currents in the dc link shunt simplifies stator current measurement and minimizes cost. Field oriented control algorithm allows good dynamic control of torque and enables an extended speed range through field weakening. The digital control algorithm runs on a unique hardware engine that allows algorithms to be designed using graphical tools. A common hardware platform can run either the PMSM or IM using sensorless field oriented control in a front loading washer application. Test results are presented for both drives in standard wash cycles.

Three-phase induction machines are today a standard\nfor industrial electrical drives. Cost, reliability, robustness and maintenance free operation are among the reasons these machines are\nreplacing dc drive systems. The development of power electronics\nand signal processing systems has eliminated one of the greatest\ndisadvantages of such ac systems, which is the issue of control. With\nmodern techniques of field oriented vector control, the task of\nvariable speed control of induction machines is no longer a\ndisadvantage. The need to increase system performance, particularly\nwhen facing limits on the power ratings of power supplies and\nsemiconductors, motivates the use of phase number other than three,\nIn this paper a novel scheme of connecting two, three phase\ninduction motors in parallel fed by two inverters; viz. VSI and CSI\nand their vector control is presented.

This paper presents the use of a higher order sliding mode scheme for sensorless control of induction motors. The second order sub-optimal control law is based on a reduced-order model of the motor, and produces the references for a current regulated PWM inverter. A nonlinear observer structure, based on Lyapunov theory and on different sliding mode techniques (first order, sub-optimal and super-twisting) generates the velocity and rotor flux estimates necessary for the controller, based only on the measurements of phase voltages and currents. The proposed control scheme and observers are tested on an experimental setup, showing a satisfactory performance.

This paper presents a generalized model of multi-phase induction motor drive using matlab/simulink. Multiphase induction motor (more than three phases) drives possess several advantages over conventional three-phase drives, such as lower torque pulsation, higher torque density, fault tolerance, stability, high efficiency and lower current ripple. When the number of phases increases, it is also possible to increase the power /torque per rms ampere for the same volume machine. In this paper, a generalized dq-axis model is developed in Matlab/Simulink for a multi-phase induction motor. The simulation results are presented for 5, 6, 7, 9 and 12 phase induction motor under varying load conditions. Transient response of the multi-phase induction motors are given for different number of phases.

The induction motor drive is simple in construction, rugged, safe, low-maintenance, and are variable speed motor drive but the cost has increased while making variable speed drive with use of modern control schemes. Therefore, researchers are discovering ways to reduce the cost while achieving variable speed control. One way is by getting rid of speed sensor in the motor shaft. It can reduce program complexity and improve reliability while minimizing the cost. The recent trend in the sensorless control of induction motor drive is to achieve successful reference tracking of estimated speed at low or zero speed. The vector control due to decoupled control of stator flux and rotor torque in induction motor is widely applied for speed control. In this paper, a sensorless vector control of induction motor with fuzzy-based rotor-flux MRAS topology is proposed. The fuzzy logic controller in the speed estimator block has achieved tremendous improvement in the speed estimation at low and even zero speed proving it to be superior to other sensorless control methods. The controller parameter calculation methods are also presented. The model is simulated in MATLAB/SIMULINK software. The results showed satisfactory improvement in the system performance especially at low or even zero speed.

Induction motor is the most motor applicable in the world. especially three phase induction motor. Furthermore 95% of induction motor are used as propulsion in industry. However, maintenance costs are large enough more than 50% of operating costs of the industry or the factory. To reduce these costs is to detect early faults in induction motors. One way to detect initial faults is to measure and analyze the temperature of the induction motor. In this research, the authors design temperature monitoring of a three-phase induction motor using the internet of things to make it easier for users to monitor the temperature of an existing three-phase induction motor and to schedule maintenance if temperature reach the operating limit. The field system elements consist of SoC ESP32 to collect data from 2D temperature, to drive lead screw and to send data to cloud. The SoC ESP 32 is connected to the AMG8833 temperature sensor array which collect the frame of temperature of a three-phase induction motor in the form of an 8x8 array. In addition, the SoC ESP32 is also connected to the motor driver L293D to regulate the movement of geared DC motor. Geared DC motor is used to drive the lead screw which already has a mount for placing the AMG8833. From the test on 18.5 kW, 360V induction motor installed in chemical industry, it is obtained the sensor can measure temperature accurately and it travel smoothly above frame. In the storage using MongoDB database, the data transmission fulfilled the QoS requirement.
 

A system has built to monitor conditions of a 3-phase Induction motor. The purpose of the system is to detect fault when the Induction motor is being operated. To build a fault detection system various methods have been used in this work. A prototype setup has built to test and evaluate the results of the developed system. The first method used to develop the system was through current monitoring where sensors used to monitor the current drawn by the 3-phase Induction Motor while operating on non-faulty and faulty conditions. Vibration sensor was used to monitor vibrations from rotating shaft on no-fault and fault conditions and Vibration Energy Harvester setup was made and equipped with the system. Vibration Energy Harvester (VEH) was acquiring vibration from the rotating shaft to generate signals to feed into the system. Results were obtained from the methods used to monitor the 3-phase Induction Motor during both no fault and fault conditions. Appropriate threshold values set to all methods used to monitor condition of the 3-hase induction motor. The results obtained shows that all three methods can be used to monitor condition of 3 -phase induction motor but the stability and reliability of the results obtained differs from one another.

In general, rotating electrical machines can be modeled by an equivalent two phase machine. This means that an unbalanced 3-phase induction motor can be modeled by using an unbalanced two phase induction motor model. This paper shows this concept by modeling a faulty 3-phase induction motor in which one of its feeding phases is opened. The paper also presents a new fault-tolerant vector control (which is modified from the conventional vector control) that can be used to control a faulty three-phase induction motor. Simulation results show the good performance of the proposed method.

In this paper, comparisons are made on various parameters of electromagnetic fields like air gap flux density (radial), flux distribution, phase currents, speed and torque of a healthy and stator inter-turn fault induction motor (IM). Using FEM (Finite Element Method), the inter-turn short circuit fault analysis of PWM (Pulse Width Modulated) inverter fed 3 phase IM is analyzed. The inter-turn fault is the initial stage of a short circuit in the stator winding and it progresses to a phase to phase fault or phase to ground fault if left undetected. When the IM is directly fed from the mains, the inter-turn fault can be identified using a popular technique known as MCSA (Motor Current Signature Analysis). But this method fails when the IM is fed from a PWM inverter due to rich noise content observed in the current spectrum due to high frequency inverter switching making it difficult to detect the fault. The electromagnetic field analysis of PWM inverter fed 3 phase IM with 12.5% and 25% stator winding inter-turn fault is carried out on a 7.5kW IM using ANSYS Maxwell FEA (Finite Element Analysis) tool. The spatial FFT spectrum of air gap flux density (radial) indicates the presence of stator winding inter-turn fault with rich noise content compared to healthy motor.

The research purpose is to control a six phase induction machine by the combination of the concepts of predictive control and extended kalman filter at various operating conditions. Speed sensors do not have good performance at very low speed and this will cause the system to malfunction. For this reason, an extended kalman filter is used to estimate the speed of six phase induction motor. In this paper, a dual three phase induction motor is modeled and a simple predictive control is used to control the speed of the motor. Simulations have been performed for various conditions of loads and speeds and their results depict correctness and robustness operation of the whole system.

In this paper, a control scheme for multiphase induction motor drives is presented and assessed. This control scheme ensures the operation of a multiphase drive under an open-circuit phase fault that can occur in one or more phases at the same time. A fault-tolerant control strategy is developed. The mathematical analysis is based on the space vector representation of the multiphase system and is valid either in transient or steady-state operating conditions. The feasibility of the drive is verified by means of experimental tests carried out on a prototype of seven-phase induction motor.