IMPROVED PERFORMANCE DESIGN REALIZATION OF FRACTIONAL KW INDUCTION MOTOR WITH PREDICTIVE CURRENT CONTROL FOR WATER PUMPING

Abstract

In this project, a predictive current controller (PCC) is designed and implemented to control a voltage source inverter (VSI) of proposed system comprising of single stage topology of solar PV array fed an improved designed fractional kW induction motor drive (IMD) coupled to water pump. The currents, in synchronous reference frame, are fed as inputs to predictive current controller (PCC) after transforming it to (α-β) stationary frame. The IMD is fed from PV array, which operates at maximum power point (MPP) using a peak power tracking perturb and observe (P&O) scheme. The PCC is implemented for this system to achieve better control of motor speed, fast dynamic response, inherent decoupling between current components and improvement in torque dynamics. The optimized design of an induction motor is investigated using combined approach of DOE and Quasi Newton algorithm (QNA) for efficiency maximization, minimization of starting current and maximization of starting torque. Initially, an analysis of the induction motor is performed with the classical approach to design machine and this method is verified by an explanation on contemporary design using RMxprt and design optimization technique. Maxwell-2D design software is used as finite element analysis (FEA) tool to design and model the performance of a 1 hp, 4-pole, 230 V, 50 Hz induction motor. The novelty of this work lies in achieving an increase in efficiency while making the power factor constant. First the designed motor is tested and its performance is compared with fractional kW standard motor as per IEC 60034-2-1. Subsequently, it is used in a system with PCC, which is simulated on MTALAB/ Simulink to verify the fitness of the controller for sensorless control of solar PV fed IMD through a prototype developed in laboratory.

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