Voltage Controller Fed Induction Motor Research Articles

Design and implementation of AC voltage controller-fed induction motor starting through particle swarm optimisation

This paper analyses the starting performance of AC voltage controller fed-induction motor drive to find out an optimum firing angle for the AC voltage controller using particle swarm optimisation(PSO). Investigations on dependence of optimum firing angle on motor parameters and the effect of variation of motor parameters on the starting performance of motor are also made in this work. About nine machines grouped into four, with each group consisting of equally rated machine with different motor parameters are used for the study. Optimum firing angle is first obtained through graphical method and then through the PSO algorithm. Experimental evaluation is done using DSP TMS320F2812 as the controller. All the results show that optimum firing angle obtained through graphical method and PSO is matching and there is a good agreement with the simulation and hardware results. Results also show that, though the machines have same rating, their optimum firing angles are different due to the difference in motor parameters.

Particle Swarm Optimisation Based Feedback Controller Design for Induction Motor Soft-Startingd

The objective of this work is to design and implement a closed loop system for induction motor starting at rated current. Thyristorised AC voltage regulator is used as the starting equipment and motor current regulation is carried out using an optimally tuned proportionalintegral (PI) controller. Since AC voltage controller fed starting of induction motor is a non-linear process, identification of optimal values of PI controller constants is performed using particle swarm optimisation. The complete drive system including AC voltage controller fed induction motor in conjunction with optimal PI controller is first simulated in MATLAB and subsequently verified experimentally. The successful implementation with a low cost microcontroller illustrates the feasibility of the new approach.

Design of feedback controller for soft-starting induction motor drive system using genetic algorithm

The objective of this work is to design and implement a closed loop system for induction motor starting at rated current. Thyristorized AC voltage regulator is used as the starting equipment and motor current regulation is carried out using an optimally tuned proportional-integral (PI) controller. Since AC voltage controller fed starting of induction motor is a non-linear process, identification of optimal values of PI controller constants is performed using genetic algorithm (GA). The complete drive system including AC voltage controller fed induction motor in conjunction with optimal PI controller is first simulated in MATLAB and subsequently verified experimentally. The successful implementation with a low cost microcontroller illustrates the feasibility of the new approach.

Particle swarm optimisation based feedback controller design for induction motor soft-starting

The objective of this work is to design and implement a closed loop system for induction motor starting at rated current. Thyristorised AC voltage regulator is used as the starting equipment and motor current regulation is carried out using an optimally tuned proportional-integral (PI) controller. Since AC voltage controller fed starting of induction motor is a non-linear process, identification of optimal values of PI controller constants is performed using particle swarm optimisation. The complete drive system including AC voltage controller fed induction motor in conjunction with optimal PI controller is first simulated in MATLAB and subsequently verified experimentally. The successful implementation with a low cost microcontroller illustrates the feasibility of the new approach.

Ant colony based feedback controller design for soft-starter fed induction motor drive

The objective of this work is to design and implement a closed loop system for induction motor starting at rated current. Thyristorized AC voltage regulator is used as the starting equipment and motor current regulation is carried out using an optimally tuned Proportional-Integral (PI) controller. Since, AC voltage controller fed starting of induction motor is a non-linear process, identification of optimal values of PI controller constants is performed using a novel ant colony based optimization technique. The complete drive system including AC voltage controller fed induction motor in conjunction with optimal PI controller is first simulated in MATLAB and subsequently verified experimentally. The successful implementation with a low cost microcontroller illustrates the feasibility of the new approach.

A simplified Model for Speed Control of AC Voltage Controller Fed Induction Motor Drives

A simplified linearised incremental model of ac volatage controller fed induction motor drive is derived from the fifth order d-q axis model of the motor and is used for closed loop speed control application. It is shown that induction motor parameters vary widely as operating point changes. Simulation results are presented.

An Evolutionary Approach for Speed Controller Design of A.C. Voltage Controller Fed-Induction Motor Drive

An induction motor is a non-linear device and its parameters vary with operating point. This article explains the application of the Genetic Algorithm (GA) to the design of an optimum controller structure for speed control of an a.c. voltage controller fed-induction motor drive application. An incremental model of an a.c. voltage controller fed-induction motor drive is derived and is used for simulation study. The GA is used to derive optimal values of the controller parameters so that the best dynamic response is obtained for unit step load disturbance, irrespective of motor operating point. High gain control theory is also used to derive the controller, and it is found that the two controller structures resemble each other.

Optimal soft starting of voltage-controller-fed IM drive based on voltage across thyristor

AC voltage controllers are used as induction motor starters in fan or pump drives and the crane hoist drives. This paper presents a method of identifying the end of soft start of an AC voltage controller-fed induction motor (IM) drive based on the voltage across the nonconducting thyristor through a dynamic simulation of the whole drive system. A two point current minimization technique is adopted to operate the drive system at the required optimal voltage under all operating conditions. This minimizes the motor losses. Graphic modeling of the whole drive system is done in a modular format using Design Star and dynamic simulation is done using SABER. The dynamic simulation results of the whole drive system are supported with experimental data.