نتایج جستجو برای: model reference adaptive control

تعداد نتایج: 3539520  

2017
Baris Baykant Alagoz Gurkan Kavuran Abdullah Ates Celaleddin Yeroglu

This study presents a model reference adaptive control scheme based on reference-shaping approach. The proposed adaptive control structure includes two optimizer processes that perform gradient descent optimization. The first process is the control optimizer that generates appropriate control signal for tracking of the controlled system output to a reference model output. The second process is ...

2008
K. G. ARVANITIS

The use of sampled-data multirate-output controllers for model reference adaptive control of possibly nonstably invertible linear systems with unknown parameters is investigated. Multirate-output controllers contain a multirate sampling mechanism with different sampling period at each system output. Such a control allows us to assign an arbitrary discrete-time transfer function matrix for the s...

2015
Benjamin C. Gruenwald

Although model reference adaptive control has been used in numerous applications to achieve system performance without excessive reliance on dynamical system models, the presence of actuator dynamics can seriously limit the stability and the achievable performance of adaptive controllers. In this paper, an linear matrix inequalities-based hedging approach is developed and evaluated for model re...

Journal: :Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 2018

2014
Juntao Fei Shenglei Zhang Jian Zhou Piermarco Cannarsa

This paper presents a thorough study of the adaptive sliding mode technique with application to single-phase shunt active power filter APF . Based on the basic principle of single-phase shunt APF, the approximate dynamic model is derived. Amodel reference adaptive sliding mode control algorithm is proposed to implement the harmonic compensation for the single-phase shunt APF. Thismethodwill use...

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...

2012
K. Keerthi

Now a days DC drives are being used in versatile variable speed applications in industries. A separately excited DC motor is taken as a plant. The dynamic behaviour of a DC motor varies with the moment of inertia, friction of the load, temperature etc. which are evident from the applications such as rolling mills, wiring machines and tracking telescope. Non-linearities cannot be neglected when ...

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