A simple vector control technique for 3-phase induction motor under open-phase fault based on GA for tuning of speed PI controller

Author(s):  
M. Jannati ◽  
A. Monadi ◽  
G. W. Yen ◽  
S. H. Asgari ◽  
N. R. N. Idris ◽  
...  
2012 ◽  
Vol 48 (6) ◽  
pp. 2433-2442 ◽  
Author(s):  
Ahmed K. Abdelsalam ◽  
Mahmoud I. Masoud ◽  
Mostafa S. Hamad ◽  
Barry W. Williams

2021 ◽  
Vol 11 (4) ◽  
pp. 7399-7404
Author(s):  
N. H. Mugheri ◽  
M. U. Keerio

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.


2021 ◽  
Vol 34 (02) ◽  
pp. 698-709
Author(s):  
Mehdi Ahmadi Taleshian ◽  
Mahmood Ghanbari ◽  
Seyed Mehdi Rakhtala

In this paper, a novel hybrid Direct Torque Control (DTC) strategy based on predictive control with optimization of the Proportional-Integral (PI) controller to improve overall performances of Three-Phase Induction Machine (TPIM) drives is proposed. The presented control technique has contained merits of the DTC method such as fast dynamic response, simple structure, less dependence to machine parameters and merits of vector control method such as high accuracy. Furthermore, a hybrid DTC method with optimal voltage vectors is presented.  In the proposed control system, Genetic Algorithm (GA) is employed to obtain optimal values of the PI controller parameters. Finally, simulation results under the presented control strategy showed good performances of this method in comparison with DTC and vector control techniques.


1970 ◽  
Vol 5 (1.) ◽  
Author(s):  
Aram Nasser ◽  
Péter Tamás Szemes

This paper presents the speed control of a three-phase induction motor using the scalar control method with PID controller. The system maintains a constant volt to frequency ratio for any change in the load. We also used vector control method and bond graph to describe the motor model, as well as its behavior. Finally, we simulated the system using Labview, where the good results of using the scalar control technique are shown.


Author(s):  
Mohammad Jannati ◽  
Nik Rumzi Nik Idris ◽  
Mohd Junaidi Abdul Aziz ◽  
Tole Sutikno

This paper proposes a novel method for vector control of faulty three-phase Induction Motor (IM) drives based on Field-Oriented Control (FOC) method. The performance characteristics of the presented drive system are investigated at healthy and open-phase fault conditions. The simulation of the case study is carried out by using the Matlab/M-File software for a star-connected three-phase IM. The results show the better performance of the proposed drive system especially in reduction of motor speed and torque oscillations during open-phase fault operating.


Author(s):  
R. Gunabalan ◽  
V. Subbiah

<p>This paper directed the speed-sensorless vector control of induction motor drive with PI and fuzzy controllers.  Natural observer with fourth order state space model is employed to estimate the speed and rotor fluxes of the induction motor. The formation of the natural observer is similar to and as well as its attribute is identical to the induction motor. Load torque adaptation is provided to estimate the torque and rotor speed is estimated from the load torque, rotor fluxes and stator currents. There is no direct feedback in natural observer and also observer gain matrix is absent. Both the induction motor and the observer are characterized by state space model. Simple fuzzy logic controller and conventional PI controllers are used to control the speed of the induction motor in closed loop. MATLAB simulations are made with PI and fuzzy controllers and the performance of fuzzy controller is better than PI controller in view of torque ripples. The simulation results are obtained for various running conditions to exhibit the suitability of this method for sensorless vector control. Experimental results are provided for natual observer based sensorless vector control with conventional PI controller.</p>


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