Abstract
This paper presents an intelligent approach to identify and adapt the rotor resistance for an indirect vector controlled induction motor drive. This command is affected by rotor resistance; the variation of this parameter could distort the decoupling between flux and torque and, consequently, lead to deterioration of drive performance. To overcome this problem, a fuzzy estimator is provided to identify the real value of rotor resistance in order to obtain a vector control optimal. Then we propose a fuzzy adaptive control strategy fits into the learning methods context by modifying the consequences of fuzzy estimator. Regarding the learning algorithm, our solution envisages the use of a fuzzy inverse model, combined with a mechanism that acts based on estimator rules by modifying the consequents according to a certain criterion, so as to increase the system robustness, and avoid unnecessary oscillation in the control signal. The suggested rotor resistance identification approach has been validated by simulation study.
Highlights
In indirect field control (IFOC) the rotor resistance is an important parameter which is involved in rotor flux estimation and the control law to compensate for the nonlinearity of system [1]
This paper is organized as follows: the principle of indirect field oriented control is presented in second section, the structure of fuzzy logic rotor resistance estimator is explained in third section, the design of adaptive fuzzy self-learning based rotor resistance estimator is developed in section four; the fifth section is devoted to illustrate the simulation performance of this control strategy, section six presents our conclusions
These two figures show a good operation of the Adaptive fuzzy self-learning based rotor resistance estimator (AFSLRRE) which does not depend, again, the initial value of rotor resistance chosen in the algorithm
Summary
In indirect field control (IFOC) the rotor resistance is an important parameter which is involved in rotor flux estimation and the control law to compensate for the nonlinearity of system [1]. This paper is organized as follows: the principle of indirect field oriented control is presented in second section, the structure of fuzzy logic rotor resistance estimator is explained in third section, the design of adaptive fuzzy self-learning based rotor resistance estimator is developed in section four; the fifth section is devoted to illustrate the simulation performance of this control strategy, section six presents our conclusions
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