Performance Improvement Of Induction Motor Research Articles

Performance improvement of induction motor drives in low-speed operation using gray wolf optimizer based on IFOC

Performance improvement of induction motor drives in low-speed operation using gray wolf optimizer based on IFOC

Utilizing neural networks for dynamic performance improvement of induction motor drive: a fresh approach with the novel IP-self-tuning controller

Utilizing neural networks for dynamic performance improvement of induction motor drive: a fresh approach with the novel IP-self-tuning controller

Performance Improvement of Induction Motor Controlled by Thyristor Chopper on the Rotor Side

In this paper, the performance characteristics of a variable-speed drive system with a wound rotor induction motor incorporating a 3-phase diode bridge rectifier - thyristor chopper with a modified commutation circuit system on the rotor side were studied. A DC equivalent circuit was used in the analysis of the motor-rectifier-chopper system and suitable equations have been derived for the determination of the system performance. The analytical results obtained are compared with those obtained experimentally to ascertain the validity of the system in practical applications. The results obtained indicate that a true variable speed drive system based on a thyristor chopper-controlled induction motor is successfully implemented. It is shown that the thyristor chopper control using the Hitachi commutation circuit permits the realization of a slip-ring induction motor as a variable speed and improved power factor. Also, the torque level obtained by the chopper control was found to be three times that obtained from conventional rotor resistance control at the same conditions.

A New Intelligent Control Strategy of Combined Vector Control and Direct Torque Control for Dynamic Performance Improvement of Induction Motor Drive

A New Intelligent Control Strategy of Combined Vector Control and Direct Torque Control for Dynamic Performance Improvement of Induction Motor Drive

Analysis and Performance Improvement of Induction Motor drive for Traction Application

Induction motor is widely used in many fields due to its simple structure, well-grounded operation, and small capacity of precise power. The conventional traction motor drives have been observed experimentally that there is a presence of speed deviation and torque ripples. Therefore, it becomes much essential to verify the control performance of the system by including its non- linear characteristics. To overcome the disadvantages mentioned above, the parameters of an induction motor which is most efficient will be estimated. The induction motor is dynamically modelled using this estimated parameter. So the proposed system focuses on improving the performance of traction motor drive by implementing the multilevel inverter fed sensor less induction motor using modified model reference adaptive system and compared with conventional model reference system based voltage source inverter. The simulation and hardware results will be realized for proposed system and compared with conventional system.

Analysis and Performance Improvement of Induction Motor drive for Traction Application

Induction motor is widely used in many fields due to its simple structure, well-grounded operation, and small capacity of precise power. The conventional traction motor drives have been observed experimentally that there is a presence of speed deviation and torque ripples. Therefore, it becomes much essential to verify the control performance of the system by including its non- linear characteristics. To overcome the disadvantages mentioned above, the parameters of an induction motor which is most efficient will be estimated. The induction motor is dynamically modelled using this estimated parameter. So the proposed system focuses on improving the performance of traction motor drive by implementing the multilevel inverter fed sensor less induction motor using modified model reference adaptive system and compared with conventional model reference system based voltage source inverter. The simulation and hardware results will be realized for proposed system and compared with conventional system.

Performance improvement of induction motor drives with model-based predictive torque control

Performance improvement of induction motor drives with model-based predictive torque control

Sliding Mode Predictive Control of Induction Motor Fed by Five-Leg AC–DC–AC Converter with DC-Link Voltages Offset Compensation

This paper presents experimental performance improvement of induction motor fed by five-leg AC–DC–AC converter with DC-link voltages offset compensation. In order to control the rectifier, a sliding mode control approach is proposed to track the DC-link voltage. The grid-side converter control is performed via a predictive power control, which minimizes the instantaneous input reactive power present in the system and compensates the undesirable harmonic contents of the grid current, under a unity power factor. In motor side, the inverter control is performed via a predictive torque control to achieve an accurate torque and flux references tracking with ripples reduction. The implementation of the proposed control architecture is achieved via a dSPACE 1104 card. The experimental results show that the proposed control strategy develops a faster active power response leading to low DC-link voltage variation, while the grid current is nearly sinusoidal with low total harmonic distortion. Experimental results reveal also that the drive system, associated with PTC technique, can effectively reduce flux and torque ripples with better dynamic and steady-state performance. Further, the proposed approaches minimize the average switching frequency.

Speed sensorless control performance improvement of induction motor drive using uncertainty cancellation

An improved speed estimator using parameter uncertainty cancellation and its application to an indirect field-oriented induction motor drive are presented. First, the speed estimation errors of a V-I model-based adaptive speed observer due to parameter variations are analysed. Then, accordingly, a novel compensation scheme is developed to cancel the effects of parameter variations on the estimated speed performance. A variable structure system controller, with the detected error signal as its input, is employed to realise the proposed compensation scheme. Finally, the robust speed control with quantitative control performance considering the effect of dead-time enlargement due to the feedback of estimated speed is presented. Theoretic bases of the proposed speed estimator and the robust speed controller are derived in detail, and their validities are demonstrated by some simulation and measured results.