Speed Of Induction Motor Research Articles

Design Of Speed Controller For Three Phase Induction Motor Using Fuzzy Logic Approach

The use of Induction Motor (IM) has been increased becuase of it’s robust construction , simple design , and low cost . This paper presents a methodology for the application and performance of Fuzzy like PI Controller to set the frequency of Space Vector Pulse-Width modualtion (SVPWM) Inverter applied to closed loop speed control of IM. When the controller is used with current controller, the quadratic component of stator current is estimated by the controller. Instead of using current controller, this paper proposes estimating the frequency of stator voltage. The dyanamic modelling of the IM is presented by dq axis theory. From the simulation results, the superiority of the suggested controller can be observed in controlling the speed of the three-phase IM.

Controlling the speed and flux of a dual stator winding induction motor using an emotional intelligent controller and integration algorithm

The appropriate efficiency of a dual stator winding squirrel-cage induction motor (DSWIM) is obtained when the ratio of two frequencies feeding the machine is equal to the ratio of the number of poles. In the vector control method, the estimation of flux at low speed is difficult. To solve this problem, researchers have benefited from the free capacity of the two windings of the stator. This makes the motor deviate from its standard operating mode at low speed. The main purpose of the present study is to reduce the power losses of the inverter units in the sensorless DSWIM drive using the proposed control scheme at low speed. In this control scheme, the speed is estimated based on the modified intelligent model reference adaptive system (MIMRAS) without estimating the stator resistance at low speed. The proposed methods were simulated in MATLAB/Simulink software, and the results of simulation confirmed the assumptions.

Comparative Stability Analysis of Stator Current Error-based Estimators of Induction Motor Speed

Abstract This paper deals with the stability problem of three stator current error-based estimators of induction motor speed, especially in the regenerating operation mode. The stability of the adaptive full-order observer (AFO) and two model reference adaptive systems (MRASs) based on a stator current error (MRASCCand MRASCV) is briefly analysed, and the stability borders are determined and compared. It is shown that MRASCVspeed estimator is stable in the whole operation range including the regenerating mode without any modifications. The stability enhancement method for AFO and MRASCCestimators is described, and the solution for their stability improvement is proposed. Torque-speed characteristics of the analysed MRAStype estimators in a wide range of drive speed and load torque changes are given, as well as the behaviour of estimators during transients is compared. The theoretical analysis and simulation test results are validated by experimental tests.

Real-time implementation of MRAS rotor time constant estimation for induction motor vector control based on a new adaptation signal

PurposeThe major disadvantage of the field-oriented control (FOC) scheme of induction motors is its dependency on motor parameter variations because of the temperature rise. Among the motor parameters, rotor resistance is a parameter that can degrade the robustness of FOC scheme. An inaccurate setting of the rotor resistance in the slip frequency may result in undesirable cross coupling and performance degradation. To overcome this disadvantage, the purpose of this paper is to propose a model reference adaptive system (MRAS) rotor time constant tuning to improve the induction motor drive performance and to compensate the flux orientation error in vector control law.Design/methodology/approachFirst, the dynamic model and the indirect field-oriented control of induction motor are derived. Then, an inverse rotor time constant tuning is proposed based on MRAS theory where a new adaptation signal formulation is used as reference model, and the estimated stator currents obtained from induction motors (IM) state space resolution is used in the adaptive model.FindingsThe effectiveness and robustness of IM speed control with the proposed MRAS inverse rotor time constant estimator is verified through MATrix LABoratory/Simulink model simulation and laboratory experimental results. The simulation and experimental results show good transient drive performances, satisfactory for rotor resistance estimation and robustness with regard to uncertainties and load torque disturbance.Originality/valueThis paper presents an online tuning of the inverse rotor time constant using a new adaptation signal MRAS model. The proposed estimator is proved to guarantee the stability for different operating conditions, especially in very low/zero speed region and heavy load torque. The stability analysis of the proposed estimation procedure is also demonstrated.

Induction motor speed control using reduced-order model

ABSTRACTInduction machines have a highly nonlinear model with only partial state information. The unavailability of all states and the presence of unknown disturbances make controller design and proving closed-loop stability challenging tasks. In this paper, we present a control scheme for induction motor speed control using a reduced, second-order model. The model greatly simplifies the control structure and its stability analysis. Current and speed measurements are used while the unknown flux and load torque are estimated using observers. The closed-loop stability of the observer-based control structure is established using Lyapunov's analysis. Simulation studies carried out on a 50 HP induction motor driven by a three-phase inverter show that the proposed controller achieves good speed control for both the regulation and tracking test cases under unknown disturbance.

Real Time Implementation of Fuzzy Adaptive PI-sliding Mode Controller for Induction Machine Control

<p>In this work, a fuzzy adaptive PI-sliding mode control is proposed for Induction Motor speed control. First, an adaptive PI-sliding mode controller with a proportional plus integral equivalent control action is investigated, in which a simple adaptive algorithm is utilized for generalized soft-switching parameters. The proposed control design uses a fuzzy inference system to overcome the drawbacks of the sliding mode control in terms of high control gains and chattering to form a fuzzy sliding mode controller. The proposed controller has implemented for a 1.5kW three-Phase IM are completely carried out using a dSPACE DS1104 digital signal processor based real-time data acquisition control system, and MATLAB/Simulink environment. Digital experimental results show that the proposed controller can not only attenuate the chattering extent of the adaptive PI-sliding mode controller but can provide high-performance dynamic characteristics with regard to plant external load disturbance and reference variations. </p>

Design and Simulation of Three Level Neutral Point Clamped Inverter Fed Induction Motor Drive

The objective of the project is to obtain some proficiency in building converters to control speed of medium voltage induction motors. The thesis covers summary of literature surveyed, selection of a topology of converter for design, design of a 3-Level NPC inverter power circuit and FOC parameters. The entire system has been simulated using PSIM software for verification of design. Results obtained are presented. Results prove that the understanding of the student (author) is satisfactory. A low voltage 10kW squirrel cage induction motor has been chosen as the load to converter for design and simulation. Future work may be design of complete control circuits implementing FOC, building complete hardware and testing the small motor chosen.

Low Order Harmonic Analysis of 3-Phase SPWM and SV-PWM Inverter Systems Driving an Unbalanced 3-Phase Induction Motor Load

The Variable Frequency Drives (VFD) are a common type of controlling the speed of 3-phase induction motors which are based on two control modulation techniques of Voltage Source Inverter: Sinusoidal Pulse Width Modulation (SPWM) and Space Vector Pulse Width Modulation (SV-PWM). The SPWM control technique is known as an easier implementation, but the SV-PWM control technique can be distinguished by an easier digital realization and a better utilization of DC bus. All 3-phase PWM inverters produce a total harmonic distortion (THD) on its output, which causes electromechanical and thermal stresses. The aim of this paper is comparing the low order current harmonics while driving an unbalanced 3-phase induction motor (the case of deterioration of the insulation as a result of inter-turn short circuits between few turns of the same phase) using SPWM and SV-PWM two-level 3-phase Voltage Source Inverters (VSI). For this type of unbalanced 3-phase induction motor, the SVPWM and SV-PWM schemes are modeled and simulated using Matlab/Simulink software. A detailed comparative analysis of THD-phase currents is made for both modulation strategies at different switching frequencies while keeping the constant amplitude modulation index.

Load disturbance rejection control of a bearingless induction motor based on fractional-order integral sliding mode

In order to improve the capability of load disturbance resistance of vector control system for a bearingless induction motor, a control strategy of the bearingless induction motor based on sliding mode speed controller and load torque observer is proposed. The control strategy uses fractional integral of velocity error and designs the nonlinear integral order sliding mode surface, and then a new bearingless induction motor speed control system is constructed. The extended sliding mode observer is designed with the rotor position, rotational speed and load torque as the observation object. The low-pass filter is used to weaken the high-frequency chattering of the sliding mode control to improve the accuracy of the observation, and the load torque observation value is compensated to the fractional-order integral sliding mode speed controller. The simulation and experimental results show that the proposed scheme achieves accurate and fast tracking of the load torque, effectively suppresses the chattering and improves the robustness of the system. The control system improves the resistance capacity against load disturbance and has better dynamic performance.

Neural Network Based MPPT Controller for Solar PV Connected Induction Motor

<p>In this paper, Maximum Power Point Tracking Controller is designed based on Neural Network Controller (NNC). This controller will sense the speed of a single phase induction motor which is fed from solar panel. Maximum power point tracking (MPPT) algorithm are required in all photovoltaic (PV) system and in order to increase the efficiency of the system, Incremental Conductance algorithm which is an effective algorithm is used to extract maximum power from the solar panel which supplies an Induction motor of 1HP. To step up the voltage available from the solar panel, the SEPIC dc – dc converter is used. The main advantage of the converter is having non-inverted output. The converter acts as an interface between PV array and motor load. The entire system is modeled and simulated using MATLAB/Simulink software.</p>

Reduction in Number of Switching Elements of the Inverter Unit for the Proposed Dual Stator Winding Squirrel-Cage Induction Motor Speed Control Drive

Reduction in Number of Switching Elements of the Inverter Unit for the Proposed Dual Stator Winding Squirrel-Cage Induction Motor Speed Control Drive

Vibration control of large induction motors using actuators between motor feet and steel frame foundation

Abstract In the paper a theoretical analysis is deduced regarding vibration control of large induction motors – power rating ≥1 MW – with roller bearings, using actuators between motor feet and a soft steel frame foundation. Based on a multibody model, the mathematical coherences are shown, including the feedback control system. Afterwards a numerical example of a soft mounted, converter driven, 2-pole induction motor (1.6 MW) with ball bearings is presented, where the bearing housing vibrations and the foundation vibrations are analyzed with and without control system. It could be shown, that without vibration control system the operating speed range cannot be used completely because of resonances, caused by the soft foundation. Therefore, critical speed areas occur, where steady state operation is not possible. However, with the vibration control system, the whole operating speed range can be used. The aim of the paper is to show the capability of using a vibration control system with actuators between motor feet and a soft foundation, for avoiding off-limits areas for the operation speed of large induction motors.

Selective harmonic eliminated V / f speed control of single‐phase induction motor

This study presents a new energy efficient V / f speed control of single-phase induction motor. The method is implemented with a single-phase inverter in which extreme learning machine technique is used to achieve selective harmonic elimination pulse width modulation. The objective is to adjust the speed of the single-phase induction motor while eliminating undesired low-order harmonics. Algorithm is developed using MATLAB/Simulink high-speed adaptation was obtained even at low- and high-speed regions. The results showed the effectiveness of the proposed method. The reduction in the total harmonic distortion is achieved in all operation range of V / f speed control.

Hybrid predictive control strategy for a low‐cost converter‐fed IM drive

The converter consisting of a single-phase half-bridge rectifier and four-switch three-phase inverter is a low-cost power converter with complicated operating constraints. It is difficult to control by the conventional strategies. This study proposes a hybrid predictive control strategy with dual loops for this converter. In the outer loop, a proportional–integral controller is designed to regulate the dc-link voltage, capacitor voltage balancing, and the speed and flux of induction motors (IM). Also, in the inner loop, the finite set model predictive control is employed to control the ac input current and stator currents of the IM. The major advantages of the control strategy include: (i) easy to deal with complicated constraints and manage multiple control targets; (ii) without the need of modulators; (iii) good dynamic response. The simulation and experimental results indicate that the proposed method can guarantee the stable operation and good performance.

Fractional Order PIλ Controller Application for Limited Memory System

Bu çalışmada, asenkron motorun hız kontrolünde kesirli PI λ yöntemi, sınırlı hafızaya sahip olan bir dsPIC mikrodenetleyicisi kullanılarak gerçekleştirilmiştir. Kesirli integralin hesaplanması işleminde kullanılan hata fonksiyonu ve ağırlık fonksiyonu veri setleri sadece son 50 veriyi kullanacak şekilde sınırlandırılmıştır. Bu sınırlandırma işlemi kesirli kontrolörün dsPIC mikrodenetleyicisinde kullanılabilmesini sağlamıştır. Farklı k p , k i ve λ değerleri için hız kontrolü deneyleri gerçekleştirilmiştir. Sonuçlar tablolarda ve şekillerde sunulmuştur.

Speed Control of a Single Phase Induction Motor Using Step-down Cycloconverter

Induction motor is a constant speed machine when operated from the mains. However it is necessary to vary the speed of the motor in some applications. The speed of a motor basically depends on the supply frequency and number of poles. While the frequency can easily be changed without changing the entire structure of the motor, the same cannot be said for the number of poles. This paper examines the use of cycloconverters to vary the speed of single phase induction motors. Cycloconverters work on changing the supply frequency to vary the speed of the motor. With the aid of three push buttons connected to the microcontroller and the program written on it, the speed of the motor was varied in three steps, at F, F/2 & F/3. The microcontroller sends the gating pulse through an optocoupler to trigger the thyristors in a dual bridge providing the alternating signal needed to drive the motor. As the frequency decreases, the speed of the motor also decreases. The cycloconverter was used on a single phase induction motor and the result shows that it can vary the speed of an induction motor.

Comparison Performances of Indirect Field Oriented Control for Three-Phase Induction Motor Drives

<span>This paper presents the comparative performances of Indirect Field Oriented Control (IFOC) for the three-phase induction motor. Recently, the interest of widely used the induction motor at industries because of reliability, ruggedness and almost free in maintenance. Thus, the IFOC scheme is employed to control the speed of induction motor. Therefore, P and PI controllers based on IFOC approach are analyzed at differences speed commands with no load condition. On the other hand, the PI controller is tuned based on Ziegler-Nichols method by using PSIM software which is user-friendly for simulations, design and analysis of motor drive, control loop and the power converter in power electronics studies. Subsequently, the simulated of P controller results are compared with the simulated of PI controller results at difference speed commands with no load condition. Finally, the simulated results of speed controllers are compared with the experimental results in order to explore the performances of speed responses by using IFOC scheme for three-phase induction motor drives.</span>

RANCANG BANGUN MEMONITOR ARUS DAN TEGANGAN SERTA KECEPATAN MOTOR INDUKSI 3 FASA MENGGUNAKAN WEB BERBASIS ARDUINO DUE

Resnu Mauliyana Mukti Wilutomo, Teguh Yuwono, 3 phase induction motor must work well and safely. Many types of interference have the potential to interfere with motor performance or even damage the motor itself, including due to power instability which includes imbalance between phase voltages and more phase currents. Monitoring an industrial activity especially monitoring the protection system is very important, it is intended that the disturbance that occurs in the 3 phase induction motor can be analyzed for the value and type of interference. Rapid technological development requires a monitoring system that is practical, fast and accurate. Sensors installed on this device are current sensors, voltage sensors, and speed sensors. The read, current, voltage and speed will be used as input signals to Arduino using the ADC (Analog to Digital Converter) process, Arduino programming uses C ++ language. ESP8266 wifi module) will upload the data from the ADC (Analog to Digital Converter) process to the database which is then displayed on the web using the available internet network. The web programming language used is PHP. This tool makes it easy to monitor a 3 phase induction motor because it can be done anytime and anywhere. There was a difference of ± 0.24A between the Tang Ampere measuring instrument and reading on the web. A ± 4V difference occurs between the Multimeter measuring instrument with readings on the Web. The maximum speed of the 3-phase induction motor with no load is 22Rpm between the tachometer gauge and the web display. Keywords: voltage sensor, current sensor, speed sensor, C ++ language programming, PHP.References Mahardika, Ferdina . 2016. Rancang Bangun Alat Memonitor Ketidakstabilan Daya Berbasis Arduino Mega 2560 Pada Motor Induksi 3 Fasa. Semarang : Laporan Tugas Akhir Teknik Elektro Universitas Diponegoro.2. Girsang, Irma Sika. 2015. Perancangan Monitoring Jarak Jauh Ketinggian Air Pada Bendungan Menggunakan Sistem Android Via Jaringan Wi-Fi. Sumatera utara : Jurnal Ilmiah Ekstensi Fisika Instrumentasi FMIPA Universitas Sumatera Utara.Santoso, Imam , Rizal Isnanto, R, Chaerodin, Achmad. 2008. Sistem Monitoring Suhu Berbasis Web Dengan Akuisisi Data Melalui Port Paralel PC. Semarang : Laporan Tugas Akhir Teknik Elektro Universitas Diponegoro.Zuhal. 2000. Dasar Teknik Tenaka Listrik dan Elektronika Daya. Jakarta : Gramedia Pustaka UtamaArduino. Arduino due. 12 Mei 2017 pukul 21.40.( https://www. arduino.cc/en /Main/ arduino BoardDue ).Kho, Dickso . Pengertian dan prinsip kerja optocoupler. 12 Mei 2017 pukul 20.20. (http: //teknikelektronika .com / pengertian- optocoupler- fungsi- prinsip- kerja- optocoupler).Quang, Sáng Bùi. Rotary Encoder Training Material. 12 mei 2017 pukul 22.15. (https: //www .slideshare.net /sangbuiquang3 /rotary-encoder -training- material).Sugito, Tega.2016. Rancang Bangun Pengasutan Star Delta Pada Motor Induksi Tiga Fasa Berbasis Sensor Kecepatan Menggunakan Mikrokontroler Atmega 16 .Semarang : Laporan Tugas Akhir Teknik Elektro Universitas DiponegoroWidiyaman, Tresna . Pengertian Modul Wifi ESPN8266. 11 Mei 2017 pukul 16.50. ( http: // www. Warriornux .com / pengertian – modul - wifi - esp8266/).Labradoc. ESP8266 WiFi Module Quick Start Guide. 10 Mei pulul 17.40. (http://www.labradoc.com/i/follower/p/notes-esp8266).Prasetio, Andhi. 2012. Buku Pintar Pemrograman Web. Jakarta: Media K.Hidayat, Rahmat. 2010. Cara Praktis Membangun Website Gratis. Jakarta: PT Elex Media Komputindo.Fathansyah. 2012. Basis Data. Bandung: Informatika Bandung.

DESIGN OF PROTOTYPE DYNAMIC AC POWER MACHINE WITH EQUIVALENT CIRCUIT MODELING (TORQUE SPEED CURVE OF INDUCTION MOTOR 1,1, KW)

Squirrel cage induction motors are widely used in electric motor drives due to their satisfactory mechanical characteristics (torque, current, overloading) and small dimensions, as well as their low price. When starting an induction motor, a large current is required for magnetizing its core, which results in a low power factor, rotor power losses and a temperature rise in the windings. None of these parameters should reach values beyond certain limits until the motor reaches nominal speed. The speed of an induction motor 1,1kW is affected very little by fluctuations of voltage. The greater the supply voltage of the motor, the induction motor's speed will increase. The torque values (Tstart, TSmax and Tmax) are affected by the value of the motor supply voltage: (Vp-nl : 132.8, Tstart1 : 7.4, T S-max1 : 0.4, Tmax1 : 9.9) V, (Vp-nl : 127.0, Tstart2 : 4.8, T S-max1 : 0.3, Tmax1 : 8.4) V and (Vp-nl : 121.3, Tstart3 : 3.3, T S-max3 : 0.2, Tmax3 : 7.1) V. Stator current (IL-nl ; 2.5, 2.2, 1.9 ) Amp rises gradually on account of the increase in magnetising current (Im : 2.5, 2.2, 1.9) Amp. The magnetising current required to produce the stator flux. The component of the stator current which provides the ampere-turns balancing the rotor ampere-turns will steadily diminish as the rotor current (IL-nl) decrease with the increase in rotor speed (nr).

Stability Analysis of Selected Speed Estimators for Induction Motor Drive in Regenerating Mode—A Comparative Study

This paper deals with the stability problem of selected induction motor speed estimators in the case of the regenerating mode operation. Two effective solutions are taken into consideration: adaptive full-order observer and model reference adaptive system-type estimator based on the current flux model and stator current estimation. The two estimation algorithms are compared in detail, namely their mathematical models, theoretical stability analysis, unstable operation areas, and stability improvement methods. The speed adaptation mechanism is extended with an additional shift angle in both cases. The theoretical analysis and simulation test results are validated by wide experimental tests.