Speed Of Three-phase Induction Motor Research Articles

Design of Phase-Shifting Transformer Based on Simulink Matlab Simulation

Using variable speed drive for controlling speed of three-phase induction motor in industrial sector gives an advantage of reducing consumption of electrical energy; on the other hand, it also causes a disadvantage of source current harmonic. To solve the problem of source current harmonic, a method of using phase-shifting transformer is applied. This method may be applied in a system with two VSDs or more connected to a three-phase power supply. The application of this phase-shifting transformer method could be as simple as using of two transformer with Y-y (wye-wye) and Y-d (wye-delta) three-phase winding connections to give a phase-shifting of 30 or more complex as it uses two transformer with Y-y and Y-z (wye-zigzag) three-phase winding connections to give a phase-shifting less than 30. This paper proposes design of five different phase-shifting transformer configurations to produce 30, 20, 15, 12 and 10 phase-shifting. Simulation on a computer-based software, Simulink Matlab, then confirmed that the proposed phase-shifting transformer design gives a very accurate result regarding to phase-shifting and magnitudes of input and output voltage of the phase-shifting transformers.

Speed Controller of Three Phase Induction Motor Using Sliding Mode Controller

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.

Speed Controller of Three Phase Induction Motor Using Sliding Mode Controller

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.

Modelling and Simulation for Used Genetic Algorithm Method to Speed Control of Three-phase Induction Motor

Optimization techniques are very well-known to improve the performance of Three-phase induction motor (TIM). Inverter and SVPWM method can be used for setting voltage and frequency appropriating with loads requirements. This study deals with the tuning of PID controller parameters to be used TIM. Genetic algorithm is used to tune each parameters of PID speed controller to improve the speed response performance of the TIM. PID-GA aims to minimize the error signal speed of TIM, reduce overshoot, and tune parameters of PID controller. The error signal speed of TIM has objective function from integrated error signal (ISE). Parameters of PID controller from optimization are used to the model of the closed-loop speed control of three-phase induction motor using PID. PID-GA has the best speed response. On the model of the closed-loop speed control of three-phase induction motor using PID, various load torque can result in decreasing flux stator and rotor, increasing current stator and rotor, and decreasing speed of the induction motor.

Fuzzy Logic Controlled Solar Module for Driving Three- Phase Induction Motor

Renewable energy produced by solar module gives advantages for generated three- phase induction motor in remote area. But, solar module's ou tput is uncertain and complex. Fuzzy logic controller is one of controllers that can handle non-linear system and maximum power of solar module. Fuzzy logic controller used for Maximum Power Point Tracking (MPPT) technique to control Pulse-Width Modulation (PWM) for switching power electronics circuit. DC-DC boost converter used to boost up photovoltaic voltage to desired output and supply voltage source inverter which controlled by three-phase PWM generated by microcontroller. IGBT switched Voltage source inverter (VSI) produced alternating current (AC) voltage from direct current (DC) source to control speed of three-phase induction motor from boost converter output. Results showed that, the output power of solar module is optimized and controlled by using fuzzy logic controller. Besides that, the three-phase induction motor can be drive and control using VSI switching by the PWM signal generated by the fuzzy logic controller. This concluded that the non-linear system can be controlled and used in driving three-phase induction motor.

Performance Development of Space Vector Pulse Width Modulation for Induction Motor Drive Using Artificial Intelligence

Space vector pulse width modulation (SVPWM) technique is an advanced computation-intensive PWM method. It is the best among all PWM techniques for three-phase induction motor (TIM) drive applications because of its superior performance characteristics. In this paper, the use of artificial neural network (ANN) based SVPWM technique avoids the computational complex used in conventional SVM implementation. An ANN scheme structure is suggested to identify and approximate the conventional SVPWM for decrease the computational problem. Moreover, proportional-integral (PI) controller tuning is achieved using a particle swarm optimization (PSO) algorithm to improve the TIM speed controller’s response performance. By designing an appropriate PSO algorithm, kp and ki of the PI speed controller parameters are tuned for TIM to attain the best parameter values.