VECTOR CONTROL OF THREE-PHASE INDUCTION MOTOR USING ARTIFICIAL INTELLIGENT TECHNIQUE (original) (raw)

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.

Fuzzy logic based vector control for three-phase induction motor

This article proposes a Takagi-Sugeno Fuzzy (TSF) controller for vector control method applied in three-phase induction motor control. The conventional vector control method has two PI current controllers. With the aim to reduce the quantity of these controllers, it is proposed a unique fuzzy controller to substitute both PI controllers. The performance of the proposed TSF controller is analyzed through several test. The simulation and experimental results show that the proposed TSF controller ensures decoupling current control and low current ripple, validating the TSF controller. Streszczenie.´W artykule zaproponowano metodę sterowania wektorowego trójfazowym silnikiem indukcyjnym z wykorzystaniem regulatora rozmytego Takagi-Sugeno zastępującego klasyczne regulatory PI. Przeprowadzono badania symulacyjne i eksperymentalne, weryfikujące skutecznosc działania sterowania. (Sterowanie wektorowe trójfazową maszyną indukcyjną z wykorzystaniem logiki rozmytej).

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.

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.

Fuzzy controller for three phases induction motor drives

2010

Because of the low maintenance and robustness induction motors have many applications in the industries. Most of these applications need fast and smart speed control system. This paper introduces a smart speed control system for induction motor using fuzzy logic controller. Induction motor is modeled in synchronous reference frame in terms of dq form. The speed control of induction motor is the main issue achieves maximum torque and efficiency. Two speed control techniques, Scalar Control and Indirect Field Oriented Control are used to compare the performance of the control system with fuzzy logic controller. Indirect field oriented control technique with fuzzy logic controller provides better speed control of induction motor especially with high dynamic disturbances. The model is carried out using Matlab/Simulink computer package. The simulation results show the superiority of the fuzzy logic controller in controlling three-phase induction motor with indirect field oriented control technique.

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)

Direct Torque and Flux Control for Speed Regulator of an Induction Motor Drive using combined PI and Fuzzy Logic Controller

This paper presents a simulation based solution for difficulty in speed regulation of IMD under Variable-Frequency condition. The speed control of the Variable-Frequency Drive is of two types; Scalar and Vector. Scalar Control is based on the relationships valid in the steady state conditions, only magnitude and frequency of voltage, current and flux linkage are controlled. Vector Control is based on relationships valid for dynamic states, not only magnitude but also instantaneous positions of voltage, currents and flux. Direct Torque Control is one of the Vector Control methods to control the Variable Frequency Drives. The torque and flux are controlled simultaneously by applying suitable voltage vectors, and by limiting these quantities within their hysteresis bands, de-coupled control of torque and flux can be achieved. The DTC control method has been optimized by using conventional PI controller in the SR loop of Induction Motor Drive. The need for simple advanced control alternatives arises in Control Process. The application of Fuzzy Logic to wide range of control applications has made possible the establishment of Intelligent Controlling in the Control Processing. The main drawback of the DTC of IMD using conventional PI controller based SR is high torque, stator flux ripples and speed of IMD is decreasing under transient and steady state operating conditions. This drawback was eliminated using the FLC based SR loop. The FLC based SR control scheme combines the benefits of DTC technique along with FLC technique. The work of this paper is to study, evaluate and compare the technique of the conventional DTC and DTC-FLC applied to the induction machines through MATLAB-2009a. Keywords- Conventional PI controller, Direct Torque Control (DTC), Fuzzy Logic Control (FLC), Induction Motor Drives (IMD), Space Vector Modulation (SVM).

Direct Torque Control of a Three Phase Induction Motor using a Hybrid PI/Fuzzy Controller

This paper presents a method for improving the speed control of 3-phase induction motors (IM) using hybrid direct torque controller (DTC)/Fuzzy logic controller (FLC) techniques. A complete simulation of the conventional DTC and closed-loop for speed control of a 3-phase IM was tested using SimuLink. The speed control of the IM is done by using the conventional proportional integral (PI) controller and FLC. The proposed FLC has a nature of PI controller to determine the torque reference for the motor. The effect of variation of the speed reference trajectories on the dynamic response has been clearly tested for both conventional and FLC speed controllers. The simulation results showed a better dynamic performance of the induction motor when using the proposed DTC/FLC in comparison with a fixed PI controller. Also, the DTC/FLC has improved the speed control of the IM over a wide range of operating conditions.

Fuzzy Logic Control of Three Phase Induction Motor Using Rotor Resistance Control Method

This work is based on an intelligent speed control system with the application of fuzzy logic on a three phase induction motor. Fuzzy logic was applied to traditional method of speed control of three phase induction motor such as Rotor Resistance Control where inputs such as rotor resistance, line voltage and two loads attached to the motor were varied. With the variations in the inputs, it was observed that appropriate variations in outputs such as speed, slip, torque, output power and efficiency were achieved. By using the Mamdani Fuzzy Model, an analysis of rule-based Fuzzy Logic Controller was applied in which the system can be taught to predict the output depending on the variations in the input variables.

PERFORMANCE ANALYSIS OF NEURO-FUZZY BASED SPEED CONTROL OF THREE PHASE INDUCTION MOTOR

Induction motor has been the workhouse in various industries, household purpose like washing machine, pumps etc. due to its low cost, low maintenance and well equipped construction features. This paper presents a smart speed control system for three phase induction motor using Neuro-fuzzy controller. Neuro-fuzzy controller plays a major role in improving the performance of the induction motor based on the settling time transient response dynamic response due to load variation and environmental conditions and set speed variation. The simulation results for the fuzzy logic controller and Neuro-fuzzy controller are compared. The results show the superiority of the Neuro-fuzzy controller in improving the performance of the three phase induction motor. The simulation design is tested using various toolboxes in MATLAB.