A novel fuzzy sliding-mode structure has been proposed for the model reference adaptive system(MRAS) based sensorless control of an induction motor in this paper. The design includes a hybrid MRAS from measured stator terminal voltages and currents. The estimated speed is used as feedback in an indirect vector control system achieving the speed control without using shaft mounted transducers. F...

In the speed control system of an Interior Permanent Magnet Synchronous Motor (IPMSM) without a sensor, PI controllers using only fixed set parameters cannot achieve accurate tracking estimated in wide domain and also suffer from step response overshoot. This paper proposes Compound Variable Structure (CVSPI) controller to improve performance. It can choose whether include integral term accordi...

While the Expectation-Maximization (EM) algorithm is a popular and convenient tool for mixture analysis, it only produces solutions that are locally optimal, and thus may not achieve the globally optimal solution. This paper introduces a new algorithm, based on the global optimization algorithm Model Reference Adaptive Search (MRAS), designed to produce globally-optimal solutions in the estimat...

In encoderless Model Predictive Torque Control (MPTC) of three-phase Induction Motor (IM) drives, current sensors can face different electrical or mechanical faults in harsh industrial environments. this research, single-phase sensor Fault-Tolerant (FTC) method for MPTC IM drives without speed measurement using a flux linkage observer and Reference Adaptive System (MRAS) algorithm is proposed. ...

The Conventional control approach may not be suitable for non-linear systems and for the systems with considerable parameter variations over a period of time. On the other hand adaptive control techniques proved to be a convenient tool in dealing with the above said systems. The Model Reference Adaptive Systems (MRAS) with performance specifications given in terms of reference model is tried fo...

<p class="Abstract"><span lang="EN-US">A novel online induction motor (IM) rotor time constant estimator based on a perturbation-based extremum seeking control (ESC) and model reference adaptive system (MRAS) is proposed. Since implementations of fieldoriented (FOC) requires accurate values IM parameters, such as constant, so robust on-line estimations parameters are crucial for any...

Generally speed measurement is done with sensor, but disadvantage of sensor is difficult to measure speed at low speeds with sensor. These difficulties are eliminated by using sensor less Flux Orientation Controlled (FOC) . This paper proposes a Model Reference Adaptive System (MRAS) for estimation of rotor speed in FOC. An Induction motor is developed in stationary reference frame and Space Ve...

This paper presents a novel method for estimating the load torque of a sensorless indirect stator flux oriented controlled (ISFOC) induction motor drive based on the model reference adaptive system (MRAS) scheme. As a matter of fact, this method is meant to inter-connect a speed estimator with the load torque observer. For this purpose, a MRAS has been applied to estimate the rotor speed with t...

We propose a new method called Stochastic Model Reference Adaptive Search (SMRAS) for finding a global optimal solution to a stochastic optimization problem in situations where the objective functions cannot be evaluated exactly, but can be estimated with some noise (or uncertainty), e.g., via simulation. SMRAS is a generalization of the recently proposed Model Reference Adaptive Search (MRAS) ...

an adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. another key feature of this structure is the fact that, it does not need model of the system. in this scheme, neurolinearizer has few weights, so it is practical in adaptive situations.  online training of neurolinearizer is compared to model predictive recurrent training...