Improved adaptive feedback linearization control of induction motors based on online estimation of core loss and rotor resistance

Abstract

In this paper, an adaptive input-output feedback linearization controller for induction motors is introduced while the core loss resistance is included in the controller equations. It is assumed that practically core loss and rotor resistances are unknown. The proposed controller includes a nonlinear observer to simultaneously estimate core loss and rotor resistance along with d-q fluxes in the stationary reference frame. After designing the proposed controller and observer, the stability of the closed loop system will be analyzed based on a Lyaponuv function. This analysis along with the simulation results verify the convergence of the estimated rotor and core loss resistance, while the controller tracks the reference flux and torque, and speed.Index Terms--feedback linearization, induction motor nonlinear observer, stator core loss.

An efficient method for flux weakening control of an induction motor drive system

“…At electrical drives where dynamic performances are not imposed, improved variants of the control method V/f = ct are used, as presented for example in [4]- [6], because the method requires a reduced number of parameters. In exchange, for the electric drives that should exhibit dynamic performances one uses various vector control methods, developed mainly in the last period (implemented within the drive systems as those used in electric tractions [7], various industrial drives, in domestic applications [8] or in wind power generation [9]). …”

“…The vector control strategies are more flexible providing that the control algorithm is more robust in what is concerning the variation of motor's parameters [8], various solutions being suggested by the specialty literature [10]- [14]. Another control strategy used in performing drive systems is based on the method used for the direct control of the torque and flux known as DTFC.…”

Online Adaptation of Rotor Resistance based on Sliding Mode Observer with Backstepping Control of A Five-Phase Induction Motor Drives

“…Nevertheless, in the presence of improper values of the parameters in the control algorithm causes a loss of the control of the oriented field [8]. Many research in the literature talked about the percent of parameters variations precisely the rotor and stator resistances due to the temperature variation of the IM in fact of the heating, indeed this variations could achieve or rise to 50% and 100% of the rated values [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. Most of the control system for motor drive application need precise values of motor parameters.…”

“…Rotor and stator resistance observers: the on-line observation of respectively rotor and stator resistance parameters presented in and discussed in [10][11][12][13][14][15], it should be noted that all those parameters estimators are depend of the measurement of some quantities like stator currents and stator voltages.…”

“…ZHOU Dehong et al and Amuliu Bogdan Proca el succeeded to develop in predictive torque control a sliding mode flux observer taking into account the online rotor and stator resistance estimations [11][12]. T. Abbasian et al presents an estimation of core loss rotor resistance by using an improved feedback linearization control [13]. In order to enhance the performance of online rotor resistance estimation S. M. Nayeem Hasan et al develop a Luenberger sliding mode observer [8].…”