Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jan T. Gravdahl"'
Publikováno v:
Modeling, Identification and Control, Vol 41, Iss 2, Pp 41-49 (2020)
In this paper surge control in a compression system using a close-coupled valve (CCV) is proposed. The control design is based on Lyapunov control theory in combination with neural networks (NNs) and focuses on minimization of loss of energy in the c
Externí odkaz:
https://doaj.org/article/cd1174410d6d49fba2217589ad7975c9
Autor:
Mutaz Tuffaha, Jan T. Gravdahl
Publikováno v:
Modeling, Identification and Control, Vol 36, Iss 4, Pp 199-214 (2015)
A generating set (Genset) comprises a prime mover such as a Diesel Engine, and a synchronous generator. The most important controllers of such systems are the speed governor to regulate the engine or shaft speed and the automatic voltage regulator (A
Externí odkaz:
https://doaj.org/article/a70b6ab60e184573a809a58327a57c87
Publikováno v:
Modeling, Identification and Control, Vol 36, Iss 3, Pp 133-142 (2015)
A challenge for precise positioning in nanopositioning using smart materials is hysteresis, limiting positioning accuracy. The Preisach model, based on the delayed relay operator for hysteresis modelling, is introduced. The model is identified from e
Externí odkaz:
https://doaj.org/article/4b3806c4b641464d8f23ff43a4149c6f
Autor:
Pål J. From, Jan T. Gravdahl
Publikováno v:
Modeling, Identification and Control, Vol 29, Iss 4, Pp 151-165 (2008)
A systematic analysis of the mobility of closed chain manipulators with passive joints is presented. The main observation in this paper is that the mobility of the manipulator, considering the passive joints only, should always be zero. Further, for
Externí odkaz:
https://doaj.org/article/67e0530d83b24b6a8b00bf84269d14fc
Autor:
Pål J. From, Jan T. Gravdahl
Publikováno v:
Modeling, Identification and Control, Vol 29, Iss 2, Pp 39-50 (2008)
A systematic and general approach to represent functional redundancy is presented. It is shown how this approach allows the freedom provided by functional redundancy to be integrated into the inverse geometric problem for real-time applications and h
Externí odkaz:
https://doaj.org/article/514cd3fefe8943138e8b8b67b690f1eb
Autor:
Jan T. Gravdahl, Olav Egeland
Publikováno v:
Modeling, Identification and Control, Vol 28, Iss 2, Pp 39-43 (2007)
In this paper we describe the motivation behind and the contents of two new control courses, Introduction to Computerized Control and Modeling and Simulation developed at the Department of Engineering Cybernetics, Norwegian University of Science and
Externí odkaz:
https://doaj.org/article/bc4806b381b64316975d6d1c3b4699e9
Publikováno v:
Modeling, Identification and Control, Vol 28, Iss 1, Pp 3-14 (2007)
In this paper, a model of a leader-follower spacecraft formation in six degrees of freedom is derived and presented. The nonlinear model describes the relative translational and rotationalmotion of the spacecraft, and extends previous work by providi
Externí odkaz:
https://doaj.org/article/b9393956bc164e6083c6a0b873001a18
Autor:
Svein Hovland, Jan T. Gravdahl
Publikováno v:
Modeling, Identification and Control, Vol 27, Iss 3, Pp 171-180 (2006)
We demonstate stabilization of a computational fluid dynamics model of an unstable system. The unstable heating of a two-dimensional plate is used as a case study. Active control is introduced by cooling parts of the boundaries of the plate. The high
Externí odkaz:
https://doaj.org/article/e7b834e5994844fd9abd2bab17550387
Autor:
Jan T. Gravdahl, Olav Egeland
Publikováno v:
Modeling, Identification and Control, Vol 19, Iss 1, Pp 13-29 (1998)
A model of a variable speed centrifugal compression system is presented. The model is based on the work of Greitzer (1976), but the compressor characteristic is developed by modelling the losses in the compressor. For surge control, a close coupled v
Externí odkaz:
https://doaj.org/article/8a71233b46ed4b27a3a003a934385513
Publikováno v:
IFAC-Papers
For dynamical systems with uncertainty, robust controllers can be designed by assuming that the uncertainty is bounded. The less we know about the uncertainty in the system, the more conservative the bound must be, which in turn may lead to reduced c