نتایج جستجو برای: model reference adaptive system mras
تعداد نتایج: 4140542 فیلتر نتایج به سال:
We introduce a new randomized method called Model Reference Adaptive Search (MRAS) for solving global optimization problems. The method works with a parameterized probabilistic model on the solution space and generates at each iteration a group of candidate solutions. These candidate solutions are then used to update the parameters associated with the probabilistic model in such a way that the ...
The advantage of the Model Reference Adaptive Scheme is to establish robustness with respect to bounded disturbances and unmodeled dynamics. In the model reference adaptive system (MRAS), the desired index of performance is given by the reference model. The tracking error represents the deviation of the plant output from the desired trajectory. The adaptive control without having robustness pro...
This paper presents fuzzy and conventional performance of model reference adaptive control(MRAC) to control a DC drive. The aims of this work are achieving better match of motor speed with reference speed, decrease of noises under load changes and disturbances, and increase of system stability. The operation of nonadaptive control and the model reference of fuzzy and conventional adaptive contr...
MRAS-Based Switching Linear Feedback Strategy for Sensorless Speed Control of Induction Motor Drives
This paper presents a newly designed switching linear feedback structure of sliding mode control (SLF-SMC) plugged with an model reference adaptive system (MRAS) based sensorless field-oriented (SFOC) for induction motor (IM). Indeed, the performance MRAS depends mainly on operating point and parametric variation IM. Hence, (SMC) could be considered good alternative due to its easy implementati...
In this paper, we show that the association of the PI regulators for the speed and stator currents with a control strategy using the linearization by state feedback for an induction machine without speed sensor, and with an adaptation of the rotor resistance. The rotor speed is estimated by using the model reference adaptive system approach (MRAS). This method consists of using two models: The ...
Simulation of Sensorless Permanent Magnet Synchronous Machine Using Model Reference Adaptive Control
Permanent-magnet-synchronous-machine (PMSM) drives have been increasingly applied in a variety of industrial applications which require fast dynamic response and accurate control over wide speed ranges. At the basis of analysis of the mathematical model of the permanent-magnet synchronous motor (PMSM) and the principle of field-orientated vector control, a novel method for modeling and simulink...
The aim of this paper is to present a simple Maximized Power Control for Wind Energy Conversion System (WECS) using Double Fed Induction Generator (DFIG). The control algorithm uses High Order Sliding Mode Control technique (SMC). This control strategy, based on stator flux orientation, tracks the maximum power for different wind speeds, and regulates separately the active and reactive powers e...
This paper evaluates different types of AC machines and various control techniques for their suitability for the drive system of Alternative Energy Vehicles (AEV). An Indirect Field Oriented (IFO) drive system for the AEV application is chosen and its major problem of detuning is addressed by designing an offline and an online rotor resistance adaptation technique. The offline scheme sets the s...
In the linear induction motor control system, optical grating speed transducer is susceptible to strong magnetic field interference. What's more, it may reduce integration and raise device costs. Therefore a identification method replace studied in this article. This for mainly adopts Model Reference Adaptive Method (Abbreviated as MRAS) Popov Hyperstability Theory. The research content of pape...
A speed estimation method is presented in this paper for a grid-connected doubly-fed slipring induction machine drive. The proposed method is formulated with reactive power based model reference adaptive system (MRAS). The method does not require the estimation of stator/rotor flux. So, the integrator related problems at synchronous speed are overcome. Also, the estimation method is independent...
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