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In this paper a sensorless rotor speed estimation and parameter identification algorithm is presented. The algorithm is designed specifically for induction motor (IM) drives devoted to automatic rescue devices (ARD) used in lifts and hoist applications. Its peculiarity is that it is based on the sinusoidal steady state mathematical model of the IM and, therefore, can be implemented on a low cost micro-controller...
This paper introduces designing of a Takagi-Sugeno (T-S) fuzzy, state feedback controller so as to have optimal and robust full-range speed control over the wounded rotor induction motor. A slip energy recovery drive system, using 12-pulse converter and a shunt chopper is used as a modified system to drive a slip ring induction motor, which is coupled with a class of nonlinear uncertain load. Using...
We have proposed a current observer-based induction motor speed sensorless vector control system which is composed in a rotating reference frame. The characteristic improvement of this system is discussed by taking into account iron loss, stator resistance identification, current low-pass filter and speed estimation low-pass filter. The stability of the system has been investigated by the trajectories...
Induction Motor (IM) speed control is an area of research that has been in prominence for some time now. In this paper, a nonlinear controller is presented for IM drives. The nonlinear controller is designed based on input-output feedback linearization control technique, combined with sliding mode control (SMC) to obtain a robust, fast and precise control of IM speed. The input-output feedback linearization...
This paper describes a new flux observer with voltage error compensation for sensorless AC motor drives. Incorporated with conventional open loop sensorless drive, the proposed observer gives good performance on the speed control like closed loop sensorless drive. Furthermore, the proposed drive system shows robust feature concerned with parameter variation from set-values without direct parameter...
This paper presents application of adaptive neuro-fuzzy inference system (ANFIS) into a squirrel cage induction machine towards modeling, control and estimation. This paper contributes (i) Development of a simple and more realistic model of the induction motor using ANFIS. Using ANFIS, the parameter sets of the motor model are estimated. The simplified model contains eleven estimated parameters. In...
Considering mandatory synchronization and torque coupling among motors with fixed joint, taking into account the influences of manufacturing errors, outside interference and electrical parameters drift on the inductive motor properties, this paper presents a novel multi-motor power balance control approach based on multi-DTC and online parameter identification. Speed control with torque balance of...
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