scholarly journals Three phase induction motor modelling and control using vector control in LabVIEW

2018 ◽  
Vol 184 ◽  
pp. 02019
Author(s):  
Khoury Wadee ◽  
Nasser Aram ◽  
Tamás Szemes Péter

In this paper, a speed control system for a three-phase induction motor was modelled and designed within LabVIEW software environment. After structuring the dynamical model of the motor, a current controller was developed to stabilize the system and avoid a wind-up situation. Then, a speed controller was designed, using PID and Field Weakening techniques, to generate the reference current values. The field-weakening algorithm is used to achieve stability at speeds that are higher than the nominal one. An estimator is used to calculate the flux angle and the electro-mechanical speed of the motor. As a result, the system achieved the desired speed with good transient and steady state responses. In addition, the system proved to be robust when the torque load is applied in all cases.

The use of Induction Motor (IM) has been increased becuase of it’s robust construction , simple design , and low cost . This paper presents a methodology for the application and performance of Fuzzy like PI Controller to set the frequency of Space Vector Pulse-Width modualtion (SVPWM) Inverter applied to closed loop speed control of IM. When the controller is used with current controller, the quadratic component of stator current is estimated by the controller. Instead of using current controller, this paper proposes estimating the frequency of stator voltage. The dyanamic modelling of the IM is presented by dq axis theory. From the simulation results, the superiority of the suggested controller can be observed in controlling the speed of the three-phase IM.


2019 ◽  
Vol 25 (7) ◽  
pp. 118-133
Author(s):  
Farazdaq R. Yasien ◽  
Wala’a H. Nasser

In this paper, an adaptive integral Sliding Mode Control (SMC) is employed to control the speed of Three-Phase Induction Motor. The strategy used is the field oriented control as ac drive system. The SMC is used to estimate the frequency that required to generates three phase voltage of Space Vector Pulse Width Modulation (SVPWM) invertor . When the SMC is used with current controller, the quadratic component of stator current is estimated by the controller. Instead of using current controller, this paper proposed estimating the frequency of stator voltage since that the slip speed is function of the quadratic current . The simulation results of using the SMC showed that a good dynamic response can be obtained under load disturbances as compared with the classical PI controller, The complete mathematical model of the system is described and simulated in MATLAB/SIMULINK.  


A Sliding Mode Control (SMC) with integral surface is employed to control the speed of Three-Phase Induction Motor in this paper. The strategy used is a modified field oriented control to control the IM drive system. The SMC is used to calculate the frequency required for generating three phase voltage of Space vVector Pulse Width Modulation (SVPWM) invertor. When the SMC is used with current controller, the quadratic component of stator current is estimated by the controller. Instead of using current controller, this paper proposed estimating the frequency of stator voltage whereas the slip speed is representing a function of the quadratic current. The simulation results of using the SMC showed that a good dynamic response can be obtained under load disturbances as compared with the classical PI controller; the complete mathematical model of the system is described and simulated in MATLAB/SIMULINK.


This paper mainly presents fuzzy current controller depending on speed estimator of MRAS with field oriented controlled induction motor drives. This paper consists of three main techniques used for configurations of MRAS speed estimators that is Rotor Flux, Back - EMF and Instantaneous Reactive power. The MRAS estimators are then included into a direct field oriented controller and also a comparison is done between PI and fuzzy current controllers completely tested on MATLAB/SIMULINK. The resulting controller achieves an acceptable level of execution over wide range of good operating conditions


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