نتایج جستجو برای: mrac

تعداد نتایج: 296  

2004

keywords: rtlinux, comedi, sliding mode control, MRAC control

Journal: :American journal of nuclear medicine and molecular imaging 2013
Sasan Partovi Andres Kohan Chiara Gaeta Christian Rubbert Jose L Vercher-Conejero Robert S Jones James K O'Donnell Patrick Wojtylak Peter Faulhaber

The purpose of this study is to systematically evaluate the usefulness of Positron emission tomography/Magnetic resonance imaging (PET/MRI) images in a clinical setting by assessing the image quality of Positron emission tomography (PET) images using a three-segment MR attenuation correction (MRAC) versus the standard CT attenuation correction (CTAC). We prospectively studied 48 patients who ha...

Journal: :International Transactions on Electrical Energy Systems 2022

With the gradual increase of wind power penetration in system, impact farm on system stability is becoming more significant. This study designs stabilizer (PSS) based model reference adaptive control (MRAC) method and virtual impedance (VI) strategy. Then, active difference doubly fed induction generator (DFIG) selected as input signal MRAC-PSS-VI. The small-signal with DFIG enhanced by install...

Journal: :Chinese Journal of Systems Engineering and Electronics 2022

In this paper, a model reference adaptive control (MRAC) augmentation method of linear controller is proposed for air-breathing hypersonic vehicle (AHV) during inlet unstart. With the development flight technology, vehicles have been gradually moving to stage weaponization. During maneuvers, changes attitude, Mach number and back pressure can cause unstart phenomenon scramjet. Inlet causes sign...

Journal: :Mathematics 2022

This paper puts forward a novel output feedback model reference adaptive control (MRAC) scheme for solving an tracking problem. The proposed only needs scalar function to be updated online, which decreases the system adaptation complexity, compared existing MRAC schemes. Furthermore, closed-loop signal boundedness and asymptotic are guaranteed with scheme. A simulation study is carried out veri...

2014
SUMIT KUMAR LILLIE DEWAN

When the parameter of any systems changes with respect to time then the constant gain PI controller action is not effective. In case of MRAC based design the adjustable PI gain parameters corresponding to changes in plant will be determined by referring to reference model specifying the property of desired control system. This paper presents the method to design MRAC based PI controllerfor spee...

Journal: :Energies 2022

Recently, a novel high-starting torque scalar control scheme (HST-SCS) for induction motor(s) (IM) emerged. It expands the application field beyond centrifugal pumps, blowers, and fans, moving, instance, some conveyor belts with nominal loading. This paper proposes normalized model reference adaptive (N-MRAC) applied to HST-SCS IM. First, proposal extends MRAC, resulting inn class of nonlinear ...

2007
L. Yang Simon A. Neild David J. Wagg

In this paper we develop a modified MRAC strategy for use on plants with unmodelled high frequency dynamics. The MRAC strategy is made up of two parts, an adaptive control part and a fixed gain control part. The adaptive algorithm uses a combination of low and high pass filters such that the frequency range for the adaptive part of the strategy is limited. This reduces adaptation to unexpected ...

2003
Jiunshian Phuah Jianming Lu Takashi Yahagi

This paper presents a method of MRAC(model reference adaptive control) for multi-input multi-output(MIMO) nonlinear systems using NNs(neural networks). The control input is given by the sum of the output of a model reference adaptive controller and the output of the NN(neural network). The NN is used to compensate the nonlinearity of plant dynamics that is not taken into consideration in the us...

2006
Jin Cheng Jianqiang Yi Dongbin Zhao

A neural network-based model reference adaptive control approach (MRAC) for ship steering systems is proposed in this paper. For the nonlinearities of ship steering system, performances of traditional adaptive control algorithms are not satisfactory in fact. The presented MRAC system utilizes RBF neural network to approximate the unknown nonlinearities in order to get a high adaptive control pe...

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