A New Induction Motor Adaptive Robust Vector Control based on Backstepping

Abstract

<p>In this paper, a novel approach to nonlinear control of induction machine, recursive on-line estimation of rotor time constant and load torque are developed. The proposed strategy combines Integrated Backstepping and Indirect Field Oriented Controls. The proposed approach is used to design controllers for the rotor flux and speed, estimate the values of rotor time constant and load torque and track their changes on-line. An open loop estimator is used to estimate the rotor flux. Simulation results are presented which demonstrate the effectiveness of the control technique and on-line estimation.</p>

Controlling a DC Motor through Lypaunov-like Functions and SAB Technique

“…Step 0. In this step, the model (3)-(4) is expressed in terms of y m , x 2m , using the noise models (6)- (7). Differentiating (6) and using (3), yields:…”

“…A significant difficulty for DC-motor control design is the unknown time-varying nature of its parameters [3], [4]. An important framework for motor control design is the state adaptive backstepping (SAB) technique presented in [5], as can be noticed from [6], [7]. Nussbaum gain techniques are usually incorporated in the SAB control framework in order to handle the effect of unknown time-varying parameters and to improve the robustness of the system.…”

“…) and(7) for x 1 and x 2 and incorporating in the above equation we obtain the basic expression forẋ 2m which isẋ In order to consider the noisy y m and x 2m instead of the real but unknown values x 1 and x 2 , in the remaining procedure equations…”

A Novel Three Phase Multilevel Inverter with Single Dc Link For Induction Motor Drive Applications

“…Switching losses are less. e. The voltage stress on each switch would be decreased [3], [4]. MLI consist of voltage sources with switches, diodes and capacitors.…”

Design and investigations of MPPT strategies for a wind energy conversion system based on doubly fed induction generator

“…This difficulty is caused by strong non-linearities, parametric variations or inaccuracies in the internal variables. But in spite of this, several methods have been found to deal with the problem, such as sliding mode control (SMC) [4][5][6], backstepping control (BC) [7][8][9][10], non-linear control by static or dynamic state feedback [11]. All these techniques have difficulty in that their design is strongly dependent on the system model.…”