Speed Control of Inverter-Fed Induction Motor Using Hybrid 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.

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Speed control of induction motor using fuzzy-PI controller

2010 2nd International Conference on Mechanical and Electronics Engineering ◽

10.1109/icmee.2010.5558463 ◽

2010 ◽

Cited By ~ 9

Author(s):

Divya Asija

Keyword(s):

Induction Motor ◽

Speed Control ◽

Pi Controller ◽

Fuzzy Pi Controller

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

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v6i3.4464 ◽

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 theÂ conventional PI controller. The settling time of induction motor Fuzzy-PI speed is better than the conventional PIÂ controller. The integral time of weighted absolute error (ITEA) performance criteria also shows that the induction motorÂ Fuzzy-PI speed control has better performance. Moreover, the induction motor Fuzzy-PI speed control has a strongÂ ability to adapt to the significant change of system parameters.

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

Jurnal Teknologi ◽

10.11113/jt.v78.8888 ◽

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.

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