Speed Control of Three Phase Squirrel Cage Induction Motor Using Fuzzy Logic Controller (original) (raw)

Hybrid Fuzzy based Scalar Speed Control of Three Phase Induction Motor

2013

This paper presents a hybrid fuzzy controller for scalar speed control of three phase squirrel cage induction motor. In this hybrid fuzzy controller, both proportional integral controller and fuzzy logic controller are operated alternately according to speed error to utilize the advantages of both controllers. Here the speed control is possible by varying supply frequency using a voltage source inverter while keeping voltage to frequency ratio as a constant. Speed error is given as input to the proportional integral controller, and speed error and speed error variation are given as input to the fuzzy logic controller. The controller output controls the reference of space vector pulse width modulation. Hence the fundamental frequency and fundamental voltage of inverter output can be varied to control the motor speed. The performance of hybrid fuzzy controller under reference speed and load torque variation is evaluated using simulation results in Simulink. Index Terms Fuzzy Logic Con...

Comparative Analysis between PI and Fuzzy Controller for Speed Control of Induction Motor

This paper portrays the way of implementing fuzzy logic in improving the performance of induction motor drive. Here a rule-based fuzzy logic based controller is designed and simulated with the help of mat lab. A pi controller is also designed in Simulink. Then performances of both the controller are simulated and compared. For controlling speed here scalar control method is employed, where magnitude of the stator voltage and frequency is changed proportionately. For this v/f control, a reference speed is chosen and controller is designed as such, it can provide that desired (reference) speed in case of frequent load changes. The major merit of fuzzy controller over pi controller is use of linguistic variable and user defined rule base that makes it possible to incorporate human intelligence in the controller. Fuzzy logic based controller also has the capability to control both linear and nonlinear system.

Comparative Study of Speed Control of Induction Motor Using PI and Fuzzy Logic Controller

This paper proposes the idea of using " Fuzzy Logic Technique " in estimating motor speed and controlling it for Induction motor. The Induction motor is modeled using dq axis theory. The main objective of this project is to develop a fuzzy logic based controller to control the speed of the induction motor, employing the scalar control model. The voltage and frequency input to the induction motor are to be controlled in order to obtain the desired speed response. The designed Fuzzy Logic Controllers performance is also weighed against with that of a PI controller. For V/f speed control of the induction motor, a reference speed has been set and the control architecture includes a rule base of 49 rules. These rules portray a nonchalant relationship between two inputs i.e. speed error (e), change in speed error (∆e) and an output i.e change ofcontrol (ω sl)

Performance Analysis of Induction Motor Using PI And FUZZY Controller

—This paper represents the better speed regulation of induction motor by the help of indirect vector control technique and also by using other controlling techniques. Here speed of induction motor is regulated or controlled by using PI controller and fuzzy logic controller, by using PI controller it provides good regulation of speed but due to some drawback in it like high overshoot, oscillation of speed and torque at variation or change in load or due to external disturbances occur during running performance of induction motor drive that controller is replaced by fuzzy logic controller which provides more better running performance to the induction motor by regulating its speed in better way and tracking the actual running speed response easily and fast as compare to PI controller. The benefits of squirrel-cage induction motors are high robustness and low maintenance which make it widely used through various industrial modem processes, with growing economical and demands. In conventional FOC, PI controller is used to control the speed response of the induction motor drive. The use of PI controller induces many problems due to sudden changes in load and external disturbances. This behavior of the controller causes disturbance in drive running performance. To overcome this disadvantages an intelligent controller based on fuzzy logic is employed in the place of the conventional PI controller.

Fuzzy Speed Controller Design of Three Phase Induction Motor

2012

The induction motor is without doubt the most used electrical motor because of its unique characteristics. Most of its applications need fast and intelligent speed control system.This paper presents an intelligent and advanced speed control based on fuzzy logic technique to achieve maximum torque and efficiency.A rule based Mamdani type fuzzy logic controller is applied to closed loop induction motor model.Scalar control(volt-hertz) method is used for controlling speed.A conventional controller is compared practically to fuzzy logic controller using Matlab/Simulink software package.The simulation results show the superiority of the fuzzy logic controller.

Speed Control of Induction Motor using Fuzzy Logic Approach

This thesis presents a methodology for implementation of a rule-based fuzzy logic controllerapplied to a closed loop Volts/Hz induction motor speed control. The Induction motor ismodelled using a dq axis theory. The designed Fuzzy Logic Controller's performance is weighed against with that of a PI controller. The pros of the Fuzzy Logic Controllers (FLCs) over the conventional controllers are: (i) they are economically advantageous to develop, (ii) a wider range of operating conditions c an be covered using FLCs, and (iii) they are easier to adapt in terms of natural language. Another advantage is that, an initial approximate set of fuzzy rules can be impulsively refined by a self-organizing fuzzy controller. For V/f speed control of the induction motor, a reference speed has been used and the control architecture includes some rules. These rules portray a nonchalant relationship between two inputs and an output, all of which are nothing but normalized voltages. These are:  The input speed error denoted by Error (e).  The input derivative of speed error denoted by Change of error (Δe), and  The output frequency denoted by Change of Control (). The errors are evaluated according to the rules in accordance to the defined member functions. The member functions and th e rules have been defined using the FIS editor given in MATLAB. Based on the rules the surface view of the control has been recorded. The system has been simulated in MATLAB/SIMULINK® and the results have been attached. The results obtained by using a conventional PI controller and the designed Fuzzy Logic Controller has been studied and compared. The controller has then been tuned by trial and error method and simulations have been run using the tuned controller. Keywords: V/f induction motor speed control, dq axis theory, Fuzzy Logic controller, Mamdani Architecture _______________________________________________________________________________________________________ I. INTRO DUCTIO N The use of induction motors has increased tremendously since the day of its invention. They are being used as actuators in various industrial processes, robotics, house appliances (generally single phase) and other similar applications. The reason for its day by day increasing popularity can be primarily attributed to its robust construction, simplicity in design and cost effect iveness. These have also proved to be more reliable than DC motors. Apart from these advantages, they have some unfavorable features like their time varying and non-linear dynamics. Speed control is one of the various application imposed constraints for the choice of a motor. Hence, in the last few years it has been studied by many, and various methods for the same have been developed. An insight into the same has been provided in Chapter 2. Out of all the speed control mechanisms, the Volts/Hertz control scheme is very popular because it provides a wide range of speed control with good running and transient performance. This scheme has been thoroughly explained in Chapter 2. This control mechanism is referred to as scalar control mode. Here both the input and output commands are speed, unlike the Vector control mode where it is torque/flux and reference current, respectively. Even though vector control drives provide excellent performance in terms of dynamic speed regulation, implementation of the same is tedious owing to on-line coordinate transformations that convert line currents into two axis representation and vice versa A. Induction Motor: The induction motor finds its place amongst more than 85% of industrial motors as well as in its single-phase form in various domestic usages. Markedly a constant-speed motor with shunt characteristic, speed drops only by a few per cent from no-load to full load. Hence in the past, induction motors have been used primarily in constant speed applications. Traditional methodologies employing speed control have either been high-priced or very inefficient, unlike the dc motor. Nonetheless, the presence of commutate and brushes in the latter, which require recurrent maintenance make dc motor drives improper for use in hazardous and polluted environments. On the other hand, owing to the simple, rugged, cheaper, smaller and subsequently light er build of induction motor drives (particularly squirrel-cage type), they are designed for fans, blowers, cranes, traction, conveyers, etc. in spite of finding stiff competition from dc drives for such applications .

Hybrid Speed Control of Induction Motor using PI and Fuzzy Controller

International Journal of Computer Applications, 2011

This paper presents a modified fuzzy control for speed control of induction motor (IM). At first, the PI controller is investigated for speed control of Induction Motor, and then fuzzy logic controller performance is simulated. Induction Motor performance is checked through the simulation studies in MATLAB/SIMULINK environment. Hybridization of fuzzy logic (FL) and PI controller for the speed control of given motor is also performed to remove the disadvantages of FL controller (steady-state error) and PI controller (overshoot and undershoot). According to the simulation results, hybrid controller creates better performance in terms of rice time, overshoot, undershoot and settling time.

Speed Control of Induction Motor using Fuzzy Logic

— In this paper, speed control of induction motor using fuzzy logic controller is proposed. Speed control of induction motor takes place by, Direct torque control(DTC) method i.e. by directly controlling torque. Here we have used Voltage/Frequency speed control method of induction motor. The fuzzy logic controller (FLC) solves the problem of non linearity's and parameter variation of induction motor. Unlike the conventional standard controllers, the proposed controller has much less computationally demanding. Direct torque control scheme of induction motor is firstly used. Then, the specified rule and their membership functions of proposed fuzzy logic system will be represented. The performance of a controller is evaluated under various operating conditions. A simplified FLC with relatively fewer rules will be implemented for perfect speed control.

Performance Comparison of PI and Fuzzy-PI Logic Speed Control of Induction Motor

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 2013

Single-phase induction motors are also used extensively for smaller loads. Speed control of induction motor has beenimplemented using PI (Proportional-Integral) controller and Fuzzy PI controller in Simulink MATLAB. The results showthat induction motor Fuzzy-PI speed control method results in a quicker response with no overshoot than the conventional PI controller. The settling time of induction motor Fuzzy-PI speed is better than the conventional PI controller. The integral time of weighted absolute error (ITEA) performance criteria also shows that the induction motor Fuzzy-PI speed control has better performance. Moreover, the induction motor Fuzzy-PI speed control has a strong ability to adapt to the significant change of system parameters.

The Art of Intelligent Control of Induction Motor Drive Using Fuzzy Logic Controller

In this paper Induction motors are the most important workhorse in industries and they are manufactured in large numbers .The induction motors have mainly developed in constant speed motor drives for general purpose application. The motor drive system comprises a voltage source inverter-fed induction motor (VSIM): namely a three-phase voltage source inverter and the induction motor. The squirrel-cage induction motor voltage equations are based on an orthogonal d-q reference rotating frame where the coordinates rotate with the controlled source frequency. The paper presents a novel fuzzy logic controller for closed loop Volts/Hz induction motor drive system. Fuzzy logic is a part of artificial intelligence(AI), which is an important branch of computer science or computer engineering. The inputs to the fuzzy logic controller are the linguistic variables of speed error and change of speed error, while the output is change in switching control frequency of the voltage source inverter. In this paper a comparison between fuzzy logic controller and traditional PI controllers are presented. The results validate the robustness and effectiveness of the proposed fuzzy logic controller for high performance of induction motor drive. Simulink software that comes along with MATLAB was used to simulate the proposed model.