Results 161 to 170 of about 3,449 (213)

A novel global MPPT method based on sooty tern optimization for photovoltaic systems under complex partial shading. [PDF]

Sci Rep
Kaaitan MT, Fayadh RA, Al-Sagar ZS, Yaqoob SJ, Bajaj M, Geremew MS.   +5 more
europepmc   +1 more source

Control approaches of power electronic converter interfacing grid-tied PMSG-VSWT system: A comprehensive review.

Heliyon
Shutari H, Ibrahim T, Bin Mohd Nor N, Alharthi YZ, Abdulrab H.   +4 more
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Model reference adaptive control (MRAC)-based parameter identification applied to surface-mounted permanent magnet synchronous motor

International Journal of Electronics, 2017
In this work, a model reference adaptive control-based estimated algorithm is proposed for online multi-parameter identification of surface-mounted permanent magnet synchronous machines.
Chongquan Zhong, Yaoyao Lin
openaire   +3 more sources

B-MRAC: A New Model Reference Adaptive Controller Based on Binary Control Theory

IFAC Proceedings Volumes, 1991
Abstract This paper reviews and extends earlier results on input/output based variable structure adaptive control algorithms and its binary (in the sense of Emelyanov) version The latter was formulated only for the case of plants with relative degree one. Here a new controller is proposed for the general case of arbitrary relative degree.
Liu Hsu, R.R. Costa
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Model reference adaptive control (MRAC) without integral for glycerin bleaching process

2014 IEEE 10th International Colloquium on Signal Processing and its Applications, 2014
This paper presents the design of a model reference adaptive control (MRAC) for regulating temperature for glycerin bleaching process. Two well known MRAC designs which are MIT and Lyapunov approach are considered. The model of the system is developed based on Auto-Regressive with Exogenous Input (ARX) model.
Mohd Hafiz A. Jalil, Mohd Nasir Taib, Mohd Hezri Fazalul Rahiman, Noor Nasriq Nordin, Nurhani Kasuan   +4 more
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2-DOF Planar Motion Control System Using Model Reference Adaptive Control (MRAC) Algorithm

Volume 9: Micro- and Nano-Systems Engineering and Packaging, Parts A and B, 2012
This paper reports the application of Model Reference Adaptive Control (MRAC) to an X-Y planar motion mechanism. A flexure-based 2-DOF planar motion platform is first developed for the wafer probing purpose and a planar Voice Coil Motor (VCM) is used for driving the mechanism and the flexural bearings. The dynamics of the motion platform is governed by
Andrew M. Y. Luk, Eric H. K. Fung, W. C. Gan   +2 more
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Model reference adaptive control (MRAC) of heat processes with simultaneous plant indentification

Proceedings of 1995 34th IEEE Conference on Decision and Control, 2002
This work presents a control law for heat processes which on one hand does not require second spacial derivatives for its on-line computation (unlike that of Hong and Bentsman, 1994) and on the other hand permits on-line plant parameter estimation (unlike that of Orlov, 1993).
Y. Orlov, J. Bentsman
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Model reference adaptive control (MRAC) implementation for an industrial pilot stirrer process

2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), 2017
Modeling of flow process in various tanks and vessels is one of the most common problems in the process industry. In this paper adaptive control is implemented for the CSTR process. The CSTR process is a classic example of a highly nonlinear system. Inflow rate is taken as the input data and process level is taken as the output for CSTR. The input flow
Ajith B. Singh, A. Anie Selva Jothi, S. Jananisri   +2 more
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Integration of model reference adaptive control (MRAC) with PX4 firmware for quadcopters

2017 24th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2017
Standard control laws have unique parameters that yield a certain response according to which model they are implemented on. Changes in the model will result in changes in the response, yielding the need for new ideal parameters. Adaptive controllers have the advantage of reducing the number of control parameters to be chosen by the pilot.
Edgar A. Niit, Willie J. Smit
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