scholarly journals An Optimal Fuzzy Logic-based PI Controller for the Speed Control of an Induction Motor using the V/F Method

2021 ◽  
Vol 11 (4) ◽  
pp. 7399-7404
Author(s):  
N. H. Mugheri ◽  
M. U. Keerio
Keyword(s):  
Induction Motor ◽  
Hardware Implementation ◽  
Low Cost ◽  
Speed Control ◽  
Pi Controller ◽  
Open Loop ◽  
Control Technique ◽  
Maintenance Cost ◽  
Voltage Frequency ◽  
Fuzzy Pi Controller

The Induction Motor (IM) is popular because of its low price, higher efficiency, and low maintenance cost. A comparative analysis of IM speed controllers using Voltage/Frequency (V/F) control or Scalar Control (SC) is presented in this paper. SC is commonly used due to its ease of implementation, simplicity, and low cost. To decrease the difficulty and cost of hardware implementation, this paper proposes an optimal Fuzzy Proportional Integral (Fuzzy-PI) controller. Firstly, the speed of IM using the V/F control technique is discussed. Then, speed control of IM using a conventional PI controller is performed. Finally, a simplified-rules Fuzzy-PI controller is developed in MATLAB/SIMULINK and its performance is compared with that of open-loop SC and the traditional PI controller. The performance of the simplified-rules Fuzzy-PI controller is superior to that of an open-loop constant V/F control and a conventional PI controller.

scholarly journals Robust Speed Control of a Three Phase Induction Motor Using Support Vector Regression

2021 ◽  
Vol 11 (6) ◽  
pp. 7861-7866
Author(s):  
N. H. Mugheri ◽  
M. U. Keerio ◽  
S. Chandio ◽  
R. H. Memon
Keyword(s):  
Support Vector Regression ◽  
Induction Motor ◽  
High Efficiency ◽  
Speed Control ◽  
Pi Controller ◽  
Learning Ability ◽  
Maintenance Cost ◽  
Support Vector ◽  
Three Phase ◽  
Speed Response

The Three Phase Induction Motor (TIM) is one of the most widely used motors due to its low price, robustness, low maintenance cost, and high efficiency. In this paper, a Support Vector Regression (SVR) based controller for TIM speed control using Indirect Vector Control (IVC) is presented. The IVC method is more frequently used because it enables better speed control of the TIM with higher dynamic performance. Artificial Neural Network (ANN) controllers have been widely used for TIM speed control for several reasons such as their ability to successfully train without prior knowledge of the mathematical model, their learning ability, and their fast implementation speed. The SVR-based controller overcomes the drawbacks of the ANN-based controller, i.e. its low accuracy, overfitting, and poor generalization ability. The speed response under the proposed controller is faster in terms of rising and settling time. The dynamic speed response of the proposed controller is also superior to that of the ANN-PI controller. The performance of the proposed controller was compared for TIM speed control with an ANN-PI controller via simulations in SIMULINK.

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

2013 ◽  
Vol 6 (3) ◽  
pp. 400-413
Author(s):  
Yaduvir Singh ◽  
Darshan Singh ◽  
Dalveer Kaur
Keyword(s):  
Induction Motor ◽  
Control Method ◽  
Speed Control ◽  
Absolute Error ◽  
Pi Controller ◽  
Performance Comparison ◽  
Performance Criteria ◽  
Integral Controller ◽  
Fuzzy Pi Controller ◽  
Proportional Integral Controller

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.

Open Loop Speed Control Of Brushless DC Motor Using Low Cost Arduino UNO Processor

2016 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Potnuru Devendra ◽  
Mary K. Alice ◽  
Ch. Sai Babu ◽  
◽  
◽  
...  
Keyword(s):  
Low Cost ◽  
Speed Control ◽  
Dc Motor ◽  
Open Loop ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Arduino Uno

IMPROVED INDIRECT FIELD-ORIENTED CONTROL OF INDUCTION MOTOR DRIVE BASED PSO ALGORITHM

2016 ◽  
Vol 78 (6-2) ◽  
Author(s):  
Jamal Abd Ali ◽  
M A Hannan ◽  
Azah Mohamed
Keyword(s):  
Induction Motor ◽  
Speed Control ◽  
Pso Algorithm ◽  
Pi Controller ◽  
Field Oriented Control ◽  
Variable Speed ◽  
Three Phase ◽  
Indirect Field Oriented Control ◽  
Speed Response ◽  
Variable Speed Control

Optimization techniques are increasingly used in research to improve the control of three-phase induction motor (TIM). Indirect field-oriented control (IFOC) scheme is employed to improve the efficiency and enhance the performance of variable speed control of TIM drives. The space vector pulse width modulation (SVPWM) technique is used for switching signals in a three-phase bridge inverter to minimize harmonics in the output signals of the inverter. In this paper, a novel scheme based on particle swarm optimization (PSO) algorithm is proposed to improve the variable speed control of IFOC in TIM. The PSO algorithm is used to search the best values of parameters of proportional-integral (PI) controller (proportional gain (kp) and integral gain (ki)) for each speed controller and voltage controller to improve the speed response for TIM. An optimal PI controller-based objective function is also used to tune and minimize the mean square error (MSE). Results of all tests verified the robustness of the PSO-PI controller for speed response in terms of damping capability, fast settling time, steady state error, and transient responses under different conditions of mechanical load and speed.

Evaluation of a fractional order PI controller applied to induction motor speed control

2010 ◽  
Author(s):  
Manuel A. Duarte-Mermoud ◽  
Felipe J. Mira ◽  
Ian S. Pelissier ◽  
Juan C. Travieso-Torres
Keyword(s):  
Induction Motor ◽  
Fractional Order ◽  
Speed Control ◽  
Pi Controller ◽  
Motor Speed ◽  
Fractional Order Pi Controller
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