Induction Motor Speed Control System Research Articles

Sliding-Mode Control of Linear Induction Motor Based on Exponential Reaching Law

As a strongly coupled, multivariable, high-order nonlinear, time-varying complex system, a linear induction motor is susceptible to outside disturbances and mismatched parameters. Because of its straightforward control mechanism and fixed PI value, the traditional PI regulator is frequently utilized in linear induction motor speed control systems. However, because of these limitations, it frequently falls short of meeting the high-performance control needs of the motor in complex operating conditions. In order to solve the contradiction between the sliding-mode motion reaching time and vibration, the sliding-mode variable structure control is applied to the linear induction motor speed control system in this paper. The sliding-mode controller is designed using the exponential reaching law method, and the designed system is analyzed through simulation. The findings demonstrate how the controller enhances the system’s robustness and disturbance resistance by bringing about the advantages of rapidity, stability, no overshooting, and a strong resistance to load disturbance.

IMPLEMENTASI DIMMER AC BERBASIS ARDUINO PADA PENGATURAN KECEPATAN MOTOR INDUKSI SATU FASA

Some things that must be considered to improve the work of an induction motor are the rotational speed of the motor which is expected to continue to be increased, torque that can meet the load, and higher efficiency. Multilevel inverters will play an important role in converting DC energy from battery sources into AC electrical energy. This study aims to create a single-phase induction motor speed control system with an Arduino Mega-based Multilevel inverter. External input in this study uses a normally close push button with two initializations, namely the Up and Down push buttons. The push button functions as an induction motor speed control with speed conversion in the form of a percent parameter. Parameters will appear on the LCD display for every change that occurs. The test results show that the induction motor will start rotating at a percentage of 20%, namely at a speed of 1631.8 RPM, then Up to 40% at a speed of 2260.2, Up again to 60% at a speed 3261.8 RPM, and at 80% speed it produces 4163.8 and the highest speed reaches 5241.4 RPM with a speed percentage of 100%. The rotational speed of the motor can be displayed on the LCD display in the form of a digital display.

Main Circuit Parameter Stability Region of Induction Motor Speed Control System Based on BBMC

Asynchronous motor speed control system based on Buck-Boost matrix converter ( BBMC ) has good speed regulation performance. Because the inverter stage of BBMC is a variable structure and nonlinear system, BBMC will produce bifurcation and chaos with the change of parameters, resulting in an unstable state of the system. The main factors affecting the stability of BBMC are the main circuit and control parameters. The control parameters can be continuously optimized in the later stage, and the main circuit parameters cannot be changed once they are determined. This paper studies the stability region of main circuit parameters, and the discrete iterative mapping model of the asynchronous motor speed control system based on BBMC is established. According to the sampling distribution of BBMC output voltage, the influence of main circuit parameters inductance L and capacitance C on the stability of the speed control system is analyzed. The stability region of the main circuit parameters is determined by numerical fitting. Finally, simulation and experiment verify the above analysis’s correctness. The stability region of main circuit parameters can provide the basis for selecting main circuit parameters in practical engineering.

Design and Simulation of a Three-Phase Induction Motor Speed Control System

Three-phase Induction motors are increasingly used in a variety of applications such as fans, milling machines, transportation, etc. In applications requiring precise speed control such as robotics, centrifugal pumps, mills and other high-performance applications, it is essential that speed is maintained constant at a desired fixed value. Many speed control techniques exist in literature but this paper presents the design of a simple PI controller and its use to control the speed of a three-phase induction motor. A controller design that applies the Phase margin (PM) as the stability criterion is employed. The cross-over frequency and phase margin of the open loop gain of motor and controller are specified in order to develop a stable control system. The three-phase induction motor model is presented and modified for the purpose of control. A comparative analysis between the motor performance with and without the PI controller was performed. The unit step response of the speed control loop is characterized by rise time, settling time, steady state error and peak overshoot of 0.0253s, 0.19s, 2.2e-14% and 24.03% respectively. Simulation results show that the speed of the uncontrolled motor changed whereas that of the controlled motor returned quickly to its initial value after the motor is subjected to load disturbances in steady state.Keywords— Controller, Induction motor, Model, Speed control, Steady state.

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.

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.

Fuzzy Logic Based Direct Power Control of Induction Motor Drive

This paper is the design of an induction motor drive system that can be controlled using direct power control. First the possibilities of direct power control (DPC) of induction motors (IMs) fed by a voltage source inverter have been studied. Principles of this method have been separately evaluated. Also the drive system is more versatile due to its small size and low cost. Therefore it is advantageous to use the system where the speed is estimated by means of a control algorithm instead of measuring. This paper proposed one novel induction motor speed control system with fuzzy logic. The estimator was designed and simulated in Matlab/Simulink. Simulation result shows a good performance of speed estimator.

Self-tuning PID Control of Induction Motor Speed Control System Based on Diagonal Recurrent Neural Network

The performance optimization of induction motor speed control system is studied and self-tuning PID controller based on diagonal recurrent neural network (DRNN) is presented in this paper. Neural network control does not require the precise mathematical model of the system, and it only needs to train neural network online or offline, then use the training results to design the control system. It is applicable of the nonlinear, strong coupling and multi variable system, which is composed of inverter and induction motor. The speed regulation control performances are tested on the experimental platform constructed by SIMATIC S7-300 power PLC. The results of experiment indicate that, compared with conventional PID controller, induction motor speed control system, which is controlled by self-tuning PID controller based on DRNN, has better static-dynamic and following performances, stronger anti-interference ability and robustness.

The Study of Parameter Robustness of Induction Motor Variable Frequency Speed Regulation Adaptive Inverse Control System

Aiming at the problem that the existence of the time varying parameter in the induction motor variable frequency speed regulation system influence the induction motor speed control performances through influences on the vector control decoupling performances, the author puts forward the solution that is to apply the adaptive inverse control scheme to the induction motor speed control system. Research findings suggest that adaptive inverse control is of high parameter robustness to both gradient parameter perturbation and mutational parameter robustness, which effectively reduces induction motor time varying parameters influences on dynamic and static performances of the frequency speed regulation system.

Fuzzy PID control of induction motor speed regulating system based on PLC

Through the analysis of mathematical model of variable frequency speed-regulating system in V/F mode, a fuzzy & PID controller is designed that the structure is simple and the application is easy. The fuzzy control does not require a precise mathematical model of the system or complex computations. It only relies on the human capability to understand the system's behaviour and is based on qualitative control rules. It is applicable on the nonlinear system composed of inverter and induction motor. In this paper, we give the structure of fuzzy controller in AC induction motor speed control system and define fuzzy sets for each input and output variable. Rule tables for fuzzy control are obtained from the analysis of the system behaviour. The experiment results show that the proposed method can be applied effectively and practically in variable frequency speed-regulating system in V/F mode which is nonlinear, fast changeful and difficult to be modelled.

유도전동기의 극 저속도 운전을 위한 MRAS방식 순시속도 관측기에 관한 연구

논문에서는 극저속 영역 및 저속 영역에서 안정적이고 동특성이 우수한 벡터제어 시스템을 구성하여, 축소차원 상태관측기를 이용한 순시속도 관측기와 극 저속 제어, 회전자 속도를 추정하는 벡터제어 시스템에 관한 방법을 제안하였다. 본 시스템에서 제안된 관측기는 축소차원 상태관측기를 부하토크 추정에 적용하여 속도추정에 이용함으로서 시스템구성을 간단히 구현 하면서도 극 저속 영역에서 정확한 순시속도 추정이 가능하였다. 또한, 시스템 잡음에 의한 영향을 줄이고, 관측기의 극을 변화시키는 일 없이 부하외란 이나 모델화 오차, 측정 잡음 등에 강인한 유도전동기 속도제어 시스템을 제시하였다. This study configuration Vector Control System which is stable and has outstanding Dynamic Characteristics in Very Low Speed Region and Low Speed Region, and proposes Instantaneous Speed Observer and Very Low Speed Control method and vector control system of the speed estimation a using Reduced-Dimensional State Observer. The Observer proposed in this system, by appling Reduced-Dimensional State Observer to Load-Torque estimation and using for speed estimation, implements system composition simply and is capable of accurate Instantaneous Speed estimation in Very Low Speed Region. Also, this study reduces influence by System Noise and suggests an induction motor speed control system which is effective in Load Disturbance, modeling error, estimation noise and so on without changing pole of an Observer.

The Research of Induction Motor Vector Control System Based on Fuzzy Self-Adaptive Pi Complex Control Algorithm

According to disadvantages that traditional PID control is difficult to adjust PID parameter for nonlinear and time-variant induction motor speed control system, this paper designs fuzzy self-adaptive PI speed control system with Double Closed-Loop Fuzzy Controller by combining fuzzy control and PID control. The MATLAB simulation results show that this controller has better stability and self-adaptive property and well improved the dynamic performance of the system compared with conational controller.

Simulating Analysis and Choosing Control Method on the Speed Control of Egg Quality’s Detection

This fuzzy speed controller is designed and applied in induction motor drive systems. MATLAB software fuzzy logic toolbox is used to the single closed-loop induction motor speed control system for computer-aided design, and SIMULINK dynamic digital simulation is used to achieve optimal control parameters. Tests show that the fuzzy control process is overshoot, response time is short, the system oscillation amplitude is low, it is the optimum control strategy.

A Five-Phase Induction Motor Speed Control System Excluding Effects of 3rd Current Harmonics Component

In this paper an effective five-phase induction motor (IM) and its drive methods are proposed. Due to the additional degrees of freedom, the five-phase IM drive presents unique characteristics for enhancing the torque producing capability of the motor. Also the five-phase motor drives possess many other advantages when compared to traditional three-phase motor drives. Some of these advantages include, reducing the amplitude and increasing the frequency of the torque pulsation, reducing the amplitude of the current without increasing the voltage per phase and increasing the reliability. In order to maximize the torque per ampere, the proposed motor has concentrated winding, the produced back electromotive force (EMF) is almost trapezoidal, and the motor is supplied with the combined sinusoidal plus the third harmonic of the currents. For demonstrating the superior performance of the proposed five-phase IM, the motors are also analyzed on the synchronously rotating reference frame. To supply trapezoidal current waveform and to exclude the effect of the <TEX>$3^{rd}$</TEX> harmonic current, a new control stratagem is proposed. The proposed control method is based on direct torque control (DTC) and rotor flux oriented control (RFOC) of the five-phase IM drives. It is able to reduce the acoustical noise, the torque, the flux, the current, and the speed pulsations during the steady state. The DTC transient merits are preserved, while a better quality steady-state performance is produced in the five phase motor drive for a wide speed range. Experimental results clearly demonstrated a more dynamic steady state performance with the proposed control system.

Stator-flux oriented continuous control of torque in induction motors

This paper analyzes dynamic equivalent circuit of induction motor and the relationship among inner fluxes, then presents a direct stator flux oriented continuous torque control (DSFOCTC) scheme of induction motor, which uses stator current vector control instead of voltage vector control. As a combination of direct torque control (DTC) and flux-oriented vector control, it achieves round stator flux and continuous dynamic torque control resulting in less torque ripple than that in DTC. It reduces the dependence on rotor parameters, and is especially insensitive to rotor resistance. Finally, an induction motor speed control system incorporating this novel scheme is given and checked by simulation.

Fuzzy logic based on-line efficiency optimization control of an indirect vector-controlled induction motor drive

Improvement of adjustable speed drive system efficiency is important not only from the viewpoints of energy saving and cooling system operation, but also from the broad perspective of environmental pollution. The paper describes a fuzzy logic based on-line efficiency optimization control of a drive that uses an indirect vector controlled induction motor speed control system in the inner loop. At steady-state light-load condition, a fuzzy controller adaptively decrements the excitation current on the basis of measured input power such that, for a given load torque and speed, the drive settles down to the minimum input power, i.e., operates at maximum efficiency. The low-frequency pulsating torque due to decrementation of rotor flux is compensated in a feedforward manner. If the load torque or speed command changes, the efficiency search algorithm is abandoned and the rated flux is established to get the best transient response. The drive system with the proposed efficiency optimization controller has been simulated with lossy models of the converter and machine, and its performance has been thoroughly investigated. An experimental drive system with the proposed controller implemented on a TMS320C25 digital signal processor, has been tested in the laboratory to validate the theoretical development. >

High-Response Digital Speed-Control System for Induction Motors

High-speed response is obtained for a vector control system by using new methods of speed control compensation, even when the secondary flux is lowered as a noise reduction measure. Moreover, simple circuits are developed which generate primary current reference signals quickly.

回転子みぞ高調波を利用した誘導電動機速度制御システムの過渡特性

回転子みぞ高調波を利用した誘導電動機速度制御システムの過渡特性

Introduction of feedforward control for an improved optimal regulator system and its application

An improvement to a control system with only feedback control loops proposed in a previous paper by means of the introduction of feedforward control loops is proposed. This method consists of two steps ; the determination of the feedback gains by means of an original optimal regulator technique, which results in the determination of the minimum value of the defined quadratic performance index as in the usual optimal regulator problem, and the determination of the feedforward gains by minimizing the minimum value of the performance index obtained in the first step, which is carried out by choosing the optimal feedforward gains so that the system deviations from the steady state values caused by the changes in the desired signals and/or the disturbance signals will be minimum. The structure of the designed control system with the feedback and feedforward control loops is clarified and the method is applied to an induction motor speed control system with an input delay time due to the processing time require...

Microprocessor Control of a Three-Phase Inverter in Induction Motor Speed Control System

The speed control of a three-phase induction motor using the Fairchild F8 microprocessor is described in this paper. In this system, the microprocessor computes the actual motor speed from the pulses received from a shaft encoder, compares the actual and desired speeds, and uses the difference to adjust the frequency of the inverter that feeds the motor. The microprocessor simultaneously varies the inverter voltage through pulsewidth modulation so as to maintain V/f constant up to the rated frequency and V constant at rated voltage thereafter. In addition to controlling the speed, the microprocessor monitors the dc-line current and automatically stops the inverter as soon as the current exceeds a preset upper limit. The control system designed is such that it is applicable not only to fractional horsepower (FHP) but also to integral horsepower (HP) motors.