In this paper, an adaptive nonlinear controller is designed for rotor Surface Permanent Magnet Synchronous Motor (SPMSM) drive on the basis of Input-Output Feedback Control (IOFC), and Recursive Least Square (RLS) method. The RLS estimator detects the motor electromechanical parameters, including the motor iron loss resistance online. Moreover, a Sliding-Mode (SM) observer is developed for onli...

In the presented paper, a sensorless driver circuit is designed, constructed and tested to control two types of three-phase Switched Reluctance Motor (SRM). The presented control algorithm has three steps. In the first step, the SRM is controlled by an open-loop method. In the second step, mathematical model of the SRM phase, motor parameters and flux-current-rotor position relation are used in...

Recent work is revealing neural correlates of a leading theory motor control. By linking an elegant series behavioral experiments with inactivation in macaques computational models, new study shows that premotor and parietal areas can be mapped onto model for optimal feedback We are constantly adapting. Whether it to shoes, or walking on icy terrain, we have the capacity continually update our ...

Abstract Electro-mechanical flight control actuators have become a viable option as replacement for conventional hydraulic in future more electric aircraft. A rotor angle measurement is generally required field-oriented of the electrical machine and usually obtained from safety-critical resolver. It contributes, however, to rising local hardware complexity with negative impact on space allocati...

An adaptive online flux-linkage estimation method for the sensorless control of switched reluctance motor (SRM) drive is presented in this paper. Sensorless operation is achieved through a binary observer based algorithm. In order to avoid using the look up tables of motor characteristics, which makes the system, depends on motor parameters, an adaptive identification algorithm is used to estim...

This paper presents a new controller for speed control problem of the BLDC motors. The nonlinear model of the motor is approximated by implementation of fuzzy rules. The uncertainties are considered in the fuzzy system. Using this model and linear matrix inequality (LMI) optimization, a robust controller for purpose of speed control of the motor has been designed and applied to it. The effectiv...

in this paper, an optimal adaptive fuzzy integral sliding mode control is presented to control the robot manipulator position tracking in the presence of uncertainties and permanent magnet dc motor. in the proposed control, sliding surface of the sliding mode control is defined according to the information of position tracking error, derivatives, and error integral. in order to estimate bounds ...