Speed Of Induction Motor Research Articles

Sensorless Exact Input-Output Linearization Control of the Induction Machine, Based on Parallel Stator Resistance and Speed MRAS Observer, with a Flux Sliding Mode Observer

Abstract: This paper presents an exact input-output linearization control scheme for rotor speed and rotor flux control of induction motor drive. In this scheme the motor model, is described in the fixed stator frame, and it is linearized, using exact inputoutput linearization technique, allowing a decoupled control of rotor flux and torque. To avoid the use of mechanical sensor, the rotor speed estimation is made by an observer using a specific MRAS (Model reference adaptive system) technique; this observer is designed to perform simultaneous estimation of stator resistance and rotor speed. In order to estimate rotor flux, a sliding mode observer is proposed in this paper. Simulation results are realized and presented to validate and to prove the effectiveness of the proposed Sensorless control.

유도전동기를 발전기로 사용시 동작 특성 해석

Squirrel cage induction motor is the main driving system of industrial field and familiar with its use in a large variety of applications. The structure and operating characteristics of induction generator is almost identical to induction motor, but the induction generator part is used restrictively from hydropower power and wind power development etc. Recently induction generator is commonly used for micro & small hydro power applications due to its simplicity, reliability, low cost and robustness. Input and output of induction motor has turned against at the induction generator operation. Rotation speed of induction generator is small faster than synchronous speed of induction motor. As output of induction machines increases with the increasement of speed, so loss is same. Actually, generator efficiency is lower than motor at this condition. If induction generator is connected with mechanical load such as increaser, total efficiency is decreased. Consequently the quality in compliance with an induction motor parameter applying like that in the generator is a possibility of having the error of some. In this paper, we analyzed that input, output, torque and efficiency of induction machine is different from each other above and below synchronous speed.

Particle Swarm Optimization Recurrent Neural Network Based Z-source Inverter Fed Induction Motor Drive

In this study, the proposal is made for Particle Swarm Optimization (PSO) Recurrent Neural Network (RNN) based Z-Source Inverter Fed Induction Motor Drive. The proposed method is used to enhance the performance of the induction motor while reducing the Total Harmonic Distortion (THD), eliminating the oscillation period of the stator current, torque and speed. Here, the PSO technique uses the induction motor speed and reference speed as the input parameters. From the input parameters, it optimizes the gain of the PI controller and generates the reference quadrature axis current. By using the RNN, the reference three phase current for accurate control pulses of the voltage source inverter is predicted. The RNN is trained by the input motor actual quadrature axis current and the reference quadrature axis current with the corresponding target reference three phase current. The training process utilized the supervised learning process. Then the proposed technique is implemented in the MATLAB/SIMULINK platform and the effectiveness is analyzed by comparing with the other techniques such as PSO-Radial Biased Neural Network (RBNN) and PSO-Artificial Neural Network (ANN). The comparison results demonstrate the superiority of the proposed approach and confirm its potential to solve the problem.

The study on the design parameters and losses of copper die-casting induction motor for high speed

The study on the design parameters and losses of copper die-casting induction motor for high speed

EMD-Based Analysis of Industrial Induction Motors With Broken Rotor Bars for Identification of Operating Point at Different Supply Modes

This paper proposes a competent method for broken bars fault identification in line-start and inverter-fed industrial induction motors. The basis of the proposed method is to determine different frequency bands of the faulty motor current and extract a proper intrinsic mode function (IMF) developed by empirical mode decomposition (EMD). It is analytically proved that two specific IMFs, IMF <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> in line-start mode and IMF <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> in inverter-fed mode, can be used for precise prediction of the behavior of a faulty induction motor. The precision of the method is shown at different operating points, including different loads, fault, and reference speeds. The results indicate that the motor asymmetry is remarkably reduced at distributed broken bars. In addition, the proposed method is capable of determining the operating point of the faulty motor even at no/light loads. Finally, the Filippetti criterion is used, and a new aspect is analytically developed to justify the variations of IMF <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> with speed in an inverter-fed induction motor. The analytical results are verified by experiments.

Adaptive-Predictive Controller based on Continuous-Time Poisson-Laguerre Models for Induction Motor Speed Control Improvement

Induction Motor (IM) has several desirable features for high performance adjustablespeed operation. This paper presents the design of a robust controller for vector control induction motor drive performances improvement. Proposed predictive speed controller, which is aimed to guarantee the stability of the closed loop, is based on the Poisson-Laguerre (PL) models for the association vector control drive and the induction motor; without necessity of any mechanical parameter, and requires only two control parameters to ensure implicitly the integrator effect on the steady state error, load torque disturbances rejection and anti-windup effect. In order to improve robustness, insensitivity against external disturbances and preserve desired performance, adaptive control is added with the aim to ensure an online identification of controller parameters through an online PL models identification. The proposed control is compared with the conventional approach using PI controller. Simulation with MATLAB/SIMULINK software and experimental results for a 1kW induction motor using a dSPACE system with DS1104 controller board are carried out to show the improvement performance.

A Practical Scheme for Induction Motor Modelling and Speed Control

A practical scheme for induction motor modelling and speed control based on field oriented control is presented in this paper. Simplified model of the induction motor is constructed for simulations, which is time-saving and very suitable for controller design in Matlab/Simulink. Actual rotor speed signal is measured to modify the original rotor flux observer, which cannot perform well at low speeds, and conventional proportional-integral controllers are used in both speed and current loops for a desired speed. Comparative simulations and experimental results demonstrate the effectiveness of the proposed scheme, and the induction motor performs well at both high and low speeds.

Impact of Using a Novel Emotional Intelligent Controller for Induction Motor Speed Control

Abstract This paper presents the design and simulation of a high-performance brain emotional learning and fuzzy-based intelligent controller (BELFBIC) for three-phase induction motor V/f speed control. V/Hz control is simple and relatively easy to implement. It provides motor performance that is adequate for most applications. For the first time, this new design brain emotional learning and fuzzy-based intelligent controller is used for a space vector pulse width modulation inverter fed induction motor V/f speed control. A comparative analysis with a PID controller and a fuzzy controller is also carried out. The simulation is carried out by MATLAB/Simulink.

Embedded Based Compact Fuzzy System to Speed Control of Single Phase Induction Motor

In this paper fuzzy logic techniques is used to control the speed of a single-phase induction motor. The implementation of hardware is based on a standard ARM controller, without any additional components for the fuzzy logic controller for controlling speed of induction motor keep constant the voltage and frequency ratio of the induction motor supply source. In this speed controlling the reference speed varies from 500rpm to 1000rpm. The response of the fuzzy controller is depending upon variation of load and speed. This fuzzy control system is built on ARM processor, which uses speed error and speed error variation to change both fundamental voltage amplitude and frequency of a sinusoidal pulse-width modulation.

Rotor side Control of High Power Slip Ring Induction Motor using a Single Thyristor

The aim is to create a Simple control mechanism for speed variations of a HIGH POWER SRIM - Slip Ring Induction motor as an extension to the available Non slip power recovery mechanisms available for low power SRIMs. The most basic ways to control the speed of a slip ring induction motor is either from the STATOR OR ROTOR SIDE. The mechanism employed here is to control the speed via a Single thyristor acting as an ON/OFF switch at the rotor side of this slip ring induction motor. The core scheme here is to control the high power machine by directly varying the load current or the rotor side current by the single thyristor after conversion of the available load side current into the DC current by a 3 phase RECTIFIER BRIDGE made of 6 diodes respectively. Thus, all the AC power is converted into simple DC current and is controlled by the thyristor ON/OFF time giving the required speed control as the rotor current is directly proportional to speed and torque in an increasing power scenario as in this case. Even the losses due to non-slip power recovery can be considerably neglected because of the machines high power status. Thus, we are able to simply control a high power SRIM by just varying the amount of ON/OFF time of the thyristor at the rotor end efficiently. Thus, this method is best suited for very high inertia loads, which requires a pull-out torque at almost zero speed and accelerate to full speed with minimum current drawn in a very short time period.

High performance emotional intelligent controller for induction motor speed control

This paper presents a real-time implementation of an improved emotional controller for induction motor (IM) drives. We have improved the design of Brain Emotional Learning Based Intelligent Controller (BELBIC) by using the fuzzy technique in calculating sensory input. The proposed controller is called Brain Emotional Learning and Fuzzy Based Intelligent Controller (BELFBIC) For the first time, Brain Emotional Learning and Fuzzy Based Intelligent Controller is used for Space Vector Pulse Width Modulation inverter fed induction motor V/f speed control. V/f control is simple and relatively easy to implement. It provides motor performance, which is adequate in most applications. A comparative analysis with PID controller and Fuzzy controller is also carried out. The simulation is carried out by Matlab / Simulink. The Proposed controller is successfully implemented in real time using a Digital Signal Controller (dsPIC30F2010) based three-phase 0.5 HP laboratory squirrel-cage IM.

PSO and GA designed Pareto of Fuzzy Controller in AC Motor Drive

In electric vehicles EV, can be implemented a controller has highest extend of battery’s lifetime meet a superior dynamic speed behavior? This research offer multi-objective approaching planned by a Particle Swarm Optimization (PSO) complementary with Genetic Algorithm (GA). This hybrid evolutionary learning is utilized as an automated method to generate the optimal parameters of fuzzy logic controller (FLC) type Mamdani. The Pareto front characterizes the speed controller of an Induction Motor (IM). where the first function is the error between the actual speed and desired speed, and the other function is the energy dissipated from the electrical supply during (10 sec), in present work the multi-objective optimization of PSO and GA have been implemented separately using two M-file/MATLAB, and compacted the results to sketch the global Pareto, while the evaluation of “fitness functions” of the two computational algorithms have been determined using SIMULINKMATLAB, the simulation has a completely mathematical model of induction motor IM, voltage source inverter VSI and FLC. The FLC have been implemented using RSLogix 5000. The empirical results demonstrate that the proposed method realized a limited disbursed energy as possible as better dynamic behavior of the IM speed along the Pareto front.

Simulation of High Performance PID Controller for Induction Motor Speed Control with Mathematical Modeling

Simulation of High Performance PID Controller for Induction Motor Speed Control with Mathematical Modeling

A New Topology of Five-Level Neutral Point Clamped Inverter for Motion Control Systems

The paper presents a new topology of 5-level neutral point clamped inverter that can be used for speed and torque control of synchronous and induction motors. The proposed topology has only two bi-directional and four standard IGBT switches per phase. The significant advantages of the proposed inverter are simpler control and lower number of switches than in the standard 5-level inverters. Extensive simulation results validate the practicability of the proposed inverter. Several aspects as Total Harmonic Distortion Factor of the inverter output currents, and voltages, harmonic content, and frequency spectrum distribution are studied.

Facing Today's Installation Challenges of Adjustable-Speed Drives for Controlling Motors in Hazardous Location Areas

The benefits of electronic motor controllers are well understood. For example, adjustable-speed drives (ASDs) are used to vary the speed and torque of ac induction motors for improved process control, energy savings, and diagnostic capabilities. Their use, however, in hazardous area locations has presented unique challenges. One of the more significant reliability obstacles is the management of the heat generated by the ASD. This single attribute has precluded reliable ASD installations greater than a few kilowatts within National Electrical Manufacturers Association (NEMA) 7 flameproof enclosures, necessitating the need for either complex inert gas purging systems or the placement in nonhazardous control rooms. Installing the ASD outside of the hazardous area location and away from the motor often results in significant installation, maintenance, and labor cost challenges. Accordingly, there exists a need for electronic motor control solutions that are suitable for use in hazardous/classified environments. The medium-voltage challenge is developing an accepted NEMA rating comparable to the resin-encapsulated Ex-m requirements. We will review both low-voltage and medium-voltage ASD solutions suitable for hazardous area locations. The low-voltage ASD is installed in a NEMA 7 flameproof Ex-d enclosure and employs active cooling to keep the internal enclosure temperature within specification of the ASD. The NEMA 7 active cooling technology will be explained, and examples of installation savings will be illustrated by comparing the installation costs of the ASD in both the hazardous and nonhazardous areas.

Speed Control of Induction Motor via Pic Controller Using Lab View

This paper gives an overview on Speed control of Induction Motor via Pic Controller using Lab VIEW. For Monitoring and controlling the Induction motor speed we can use the Lab View Simulation software. Lab VIEW Software can be used for continuous monitoring in an Real Time System applications. Most of the Industrial Automation control process are done by Lab VIEW software only. Lab VIEW Software plays major role in Industrial Monitoring and control systems. There are various types of controller used in Drive control systems in order to perform some actions such as Speed control, Run Motor in both forward and reverse direction. Here we have used Pic Controller for speed control process. From Lab VIEW software we can send Signals to Pic Controller to Run Induction Motor in either Forward/Reverse Direction and we can set the Speed of the Motor.

Robust Sliding Mode Control Using Adaptive Switching Gain for Induction Motors

A robust sliding mode approach combined with a field oriented control (FOC) for induction motor (IM) speed control is presented. The proposed sliding mode control (SMC) design uses an adaptive switching gain and an integrator. This approach guarantees the same robustness and dynamic performance of traditional SMC algorithms. And at the same time, it attenuates the chattering phenomenon, which is the main drawback in actual implementation of this technique. This approach is insensitive to uncertainties and permits to decrease the requirement for the bound of these uncertainties. The stability and robustness of the closed-loop system are proven analytically using the Lyapunov synthesis approach. The proposed method attenuates the effect of both uncertainties and external disturbances. Experimental results are presented to validate the effectiveness and the good performance of the developed method.

Identificación y Control Wavenet de un Motor de CA

This paper presents a control scheme to tune online the proportional, integral and derivative gains of a discrete PID controller, through the identification and control of a SISO stable and minimum phase dynamic system. This is accomplished using a radial basis network neural with daughter Morlet wavelets activation functions in cascaded with an infinite impulse response (IIR) filter. This scheme is applied in real time to control the speed of an AC three-phase induction motor supplied with a three-phase inverter. So in this way we show how the identification and control scheme can be implemented in this type of plants that are widely used in industry, without the need of mathematical model parameters of the induction motor. We present numerical simulation and experimental results.

Sensorless speed control of 4-switch three phase inverter fed induction motor drives at very low and zero speed

Sensorless induction motor (IM) drives are widely used in industry for their reliability and flexibility, particularly in hostile environment. However, the performance of many of previously developed observer based speed sensors in very low speeds of IM drives was not satisfactory. In this paper, the model reference adaptive system (MRAS)-based speed and stator resistance estimators of IM drives fed by four switch three phase inverter (FSTPI) in the critical low and zero speed region of operation are presented. The estimated speed is used as feedback in a vector control system. The MRAS approach has the immediate advantage that the model is simple, eliminates the produced error in the speed adaptation, and more stable and robust. Simulation results of the MRAS speed observer based sensorless field-oriented induction motor drives fed by FSTPI are presented at critical low and zero speed region of operations. The performances of the MRAS technique is evaluated in indirect vector control system. Experimental results validate the proposed approach.

A Comparative Study of Control Methods for Induction Motor and High Performance Z-source Inverter

Design studies of the most suitable controller for the speed of induction motor (SIM) and peak DC-link voltage (PDV) of high performance z-source inverter (HP-ZSI) greatly affects performance of hybrid electric vehicles. This paper is to give comprehensive analyses comparison and evaluations of the different control techniques as PI controller, self-tuning fuzzy PI controller (SFP) and genetic algorithms optimal tuning gains of the PI controller for controlling the SIM based on criteria of the integral of the absolute value of speed error. With control PDV, this paper also presents comparisons of the different techniques as PI controller, fuzzy logic controller, SFP based on observation of its response and total harmonic distortion of current. All methods are applied to the closed loop of the SIM which relies on direct torque control combined with modified space vector modulation and closed loop of PDV in HP-ZSI. These methods are verified by Matlab software. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2445 Full Text: PDF