Results 31 to 40 of about 47,257 (241)
Energies, 2023 This paper compares the performance of different control techniques applied to a high-performance brushless DC (BLDC) motor. The first controller is a classical proportional integral (PI) controller. In contrast, the second one is based on adaptive neuro-
Abdessamad Intidam +6 more
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Modelling of a Flexible Manoeuvring System Using ANFIS Techniques [PDF]
, 2010 The increased utilization of flexible structure systems, such as flexible manipulators and flexible aircraft in various applications, has been motivated by the requirements of industrial automation in recent years.
Bin Zaidan, Martha Arbayani +2 more
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IEEE AccessAdaptive cruise control is a system that maintains an appropriate distance from vehicles ahead while driving. Although Adaptive cruise control systems operate stably on flat roads, they can become unstable on sloped roads. This study presents a method to
Kang-Hyeon Choi, Hyuk-Jun Chang
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Adaptive Four-Channel Neuro-Fuzzy Control of a Master-Slave Robot
International Journal of Advanced Robotic Systems, 2013 In bilateral control of tele-manipulation based on a conventional approach, there are deficiencies in stability robustness and manoeuvrability against variations in the dynamics of the master input device and the task environment.
Watcharin Po-Ngaen
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Jurnal Elkomika, 2021 ABSTRAK Kendali vektor merupakan solusi terbaik dalam kendali motor induksi untuk meningkatkan karakter dinamis dan efisiensinya. Pada penelitian ini, sebuah kendali kecepatan PID dipadukan dengan Adaptive Neuro Fuzzy Inference System (ANFIS) untuk ...
HANIF HASYIER FAKHRUDDIN +6 more
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Torque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation
, 2000 Simple power electronic drive circuit and fault tolerance of converter are specific advantages of SRM drives, but excessive torque ripple has limited its use to special applications.
Branco, P. J. Costa +4 more
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Using of artificial intelligence for improving of lautering process productivity (part 2).
Kvasný průmysl, 2001 For control of lautering process firm Kiemann and Technical University Heilbronn have developed and control system Neuro-Fuzzy-Controller, that enables to obtain very good results even under using raw stuffs of different qualities.
F. MIROLL +4 more
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Diagnosis and decision-making for awareness during general anaesthesia [PDF]
, 1998 This is the post-print version of the article. The official published version can be obtained from the link below.We describe the design process of a diagnostic system for monitoring the anaesthetic state of patients during surgical interventions under ...
Abbod, MF, Backory, JK, Linkens, DA
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Neuro-Fuzzy trajectory control of a scara robot
2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), 2010 In this paper, two different adaptive network based fuzzy logic controllers (Neuro-Fuzzy) are designed for trajectory tracking control of a 3-DOF scara type robot manipulator. The kinematic and the dynamic equations are used to obtain equations of motion of robot manipulator and three different rise functions are chosen for desired Cartesian trajectory
Şahin, Yusuf +2 more
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Design an intelligent controller for full vehicle nonlinear active suspension systems [PDF]
, 2011 The main objective of designed the controller for a vehicle suspension system is to reduce the discomfort sensed by passengers which arises from road roughness and to increase the ride handling associated with the pitching and rolling movements.
Aldair, A A, Wang, W J
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