Development of a Robust Scalar Control System for an Induction Squirrel-cage Motor Based on a Linearized Vector Model

Abstract

The paper considers the problem of developing a digital system for an induction motor speed control which has a sensor and a speed regulator to increase accuracy of speed control. Speed control is carried out by a scalar method due to consistent change in the stator frequency and voltage. To obtain the uniformity of the motor overload capability in a given range the control mode is used associated with maintaining uniformity of flux linkage of the motor stator. Induction motor scalar models do not possess high accuracy and their parameters and their parameters can vary over a wide range, which complicates the controller design and achievement of robustness of the speed control system. To eliminate these disadvantages, it is proposed to use a vector model in a rotating coordinate system having subjected it to linearization at different points of the operating mode with the account of the adopted law of frequency control, to ensure robust absolute stability of the system on the basis of application of a graphical method for constructing a modified amplitude-phase characteristic.

Feasibility of Six Metaheuristic Solutions for Estimating Induction Motor Reactance

“…[23], new parameters are determined by estimating the mechanical speed and instantaneous electrical power using a free acceleration test. Authors have recently proposed a two-step method to detect the characteristics of an induction motor using a nonlinear method that incorporates magnetic satiation [24]. In Ref.…”