Backstepping Control Of Induction Motor Research Articles

Adaptive backstepping control of induction motor powered by photovoltaic generator

<span>This paper is aimed at addressing the design of an effective adaptive nonlinear control of a photovoltaic (PV) water pumping system powering a submersible induction motor and a centrifugal water pump. Four objectives are achieved using an adaptive Backstepping controller. First, it is applied to ensure maximum power point tracking, and uses the latter as a reference in regulation of the rotor speed to convert the maximum electrical power into maximum mechanical power. Second, the adaptive controller is synthesized to control motor rotor flux and restrict the magnetic circuit to its linear interval. Third, it is used to online estimate the rotor time-constant and the load torque disturbance estimation. Finally, this controller is employed to limit the stator currents to protect induction motor windings. Mathematical modelling of the main elements of the system is presented. A sliding mode rotor flux estimator is employed in the output feedback control of the whole system. DC-AC converter is controlled by pulse width modulation. The feasibility, the robustness and the effectiveness of the proposed adaptive nonlinear controller are evaluated through simulations in MATLAB/Simulink environment.</span>

Backstepping Control of Induction Motor Fed by Five-Level NPC Inverter

In this paper we will present a contribution to the backstepping control for induction motor (IM) based on the principle of Field Orientated Control (FOC). This law is established step by step while ensuring the stability of the machine in the closed loop, by a suitable choice of the function Lyapunov, In addition it is executed to assure the convergence the error´s speed tracking at all initials conditions are possible. Both the speed and the rotor flux are supposed obtained by sensors. The control of the IM by five-level NPC inverter generally uses Pulse-width modulation techniques (PWM). Finally, we represent some of the simulation results by simulations in Matlab/Simulink environment.

NN-Based Block Adaptive Backstepping Control of Induction Motor

Based on the model of induction motors in field-oriented coordinates, a block adaptive backstepping method is used to design a controller for induction motor. The control law and parameter updating law are derived using Lyapunov theory, which guarantees the stability of the whole system. The proposed approach can track the rotor speed and flux reference signals under parameter and load uncertainties. Simulation results show the effectiveness of the proposed approach.

High performance backstepping control of induction motor with adaptive sliding mode observer

High performance backstepping control of induction motor with adaptive sliding mode observerIt is well known that modern control of induction motor relies on a good dynamic model of the motor. Extensive research and activity have been devoted to the problem of induction motor control over the last decade. In this paper we introduce backstepping control with amelioration of performance to guarantee stability of the system. Accurate knowledge of the rotor speed and flux position is the key factor in obtaining a high-performance and high-efficiency induction-motor drive. Thus a sliding mode observer design is presented. Simulation results are included to illustrate good performance of backstepping control of sensorless induction motors with flux observer.

Sliding Mode Backstepping Control of Induction Motor Based on Self-recurrent Wavelet Neural Networks

A new decoupled induction motor model is introduced for enhancing the robustness of control.Sliding mode control and backstepping control are applied to virtual torque and flux linkage voltage controller designs based on induction motor decoupled model.The magnitude of sliding mode switching gain is the key reason causing system chattering.Self-recurrent wavelet neural networks (SRWNN) is used to estimate sliding mode switching gain on-line, which can reduce chattering caused by sliding mode control effectively.The results of simulation prove that the scheme of sliding mode backstepping control based on SRWNN on-line estimation of switching gain can enhance the robustness of induction motor control effectively and reduce the chattering caused by sliding mode control as well.