Nonlinear Control Of Induction Motor

In this paper, the nonlinear control of the induction motor is studied extensively. The research has great significance in the field of industry.First of all, there are three characters: the non-linearity, the uncertainty of the parameters and the unmeasured state to destroy the performance of the induction motor. It is pointed out that the more nonlinear control method as opposed to the classical or intelligent methods.Secondly, the comparison of three controllers for stabilization, which have emerged now: Feedback linearization, Passivity-based control, Integrator back-stepping is performed. Comparison of these, seemingly unrelated, methodologies will lead to the understanding the underlying principle of the methods and fostering cross-fertilization.Thirdly, on one hand we extend the passivity-based control method to the regulation of the torque of a Permanent Magnet Synchronous Motor (PMSM). To avoid the sensor of the speed, a reduced-order observer is introduced. On the other hand, owing to the non-linearity and unknown parameters of the inverter, we make use of integrator back-stepping control scheme to provide the asymptotic rotor position tracking of the system. Given measurements of rotor position and stator currents, we design an adaptive controller despite the uncertainty associated with the mechanical load and the inverter.In the chapter 4 of this paper, a novel controller scheme based on passivity feedback equivalence is designed to achieve rotor velocity and rotor flux norm tracking for the model of induction motor. A complete study of the strict passivity and global stability properties of the resultant closed-loop system is made. To eliminate the sensor of the speed, an observer and a scheme based on output feedback passivity are introduced respectively. To enhance the robustness of the system, the parameter adaptive scheme is strengthened to the controller, or a robust controller is designed for the bounded parameter uncertainty.