Abstract
The paper describes observers using model reference adaptive system for sensorless induction motor drive with the pulse width modulator and the direct torque control under the circumstances of incorrect information of induction motor parameters. An approximation based on the definition of the Laplace transformation is used to obtain initial values of the parameters. These values are utilized to simulate sensorless control structures of the induction motor drive in Matlab-Simulink environment. Performance comparison of two typical observers is carried out at different speed areas and in presence of parameter uncertainty. A laboratory stand with the induction motor drive and load unit is set up to verify the properties of observers. Experimental results confirm the expected dynamic properties of selected observer.
Highlights
The term “sensorless” means that the electric drive does not contain the speed or position sensor in its control structure, and the concept of sensorless control is to use estimation algorithms to obtain rotor speed, ro-the pure integration of the voltage signals at low speeds, and the low accuracy because of machine parameter uncertainties make it difficult-to-implement
The load unit is an electro-dynamometer with torque range [rpm]
The sensorless Induction Motor (IM) drive using Model Reference Adaptive System (MRAS) speed observers with PWM-Direct Torque Control (DTC) method were presented in the paper
Summary
The term “sensorless” means that the electric drive does not contain the speed or position sensor in its control structure, and the concept of sensorless control is to use estimation algorithms to obtain rotor speed, ro-the pure integration of the voltage signals at low speeds, and the low accuracy because of machine parameter uncertainties make it difficult-to-implement. The term “sensorless” means that the electric drive does not contain the speed or position sensor in its control structure, and the concept of sensorless control is to use estimation algorithms to obtain rotor speed, ro-. A sixthorder discrete-time model is used to analysis convergence of the EKFs for sensorless motion control systems c 2018 ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING with Induction Motor (IM) [3]. The Luenberger observer can be a replacement for the observers that use machine model, have accuracy problems, especially at low speeds, and for non-linear systems. The deterministic observer comprises the deterministic plant model while the stochastic type comprises other plant model representations, and the Luenberger observer is a typical deterministic observer. The LO for sensorless IM drive is an observer that uses machine model and a feedback loop with measured stator current and rotor flux. The gain matrix of the full-order observer must be designed according to Lyapunov’s stability theory, and the observer must be faster than the observed system [4]
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