Dodds, Stephen J. (2006) ‘Forced dynamic control: a model based control technique illustrated by a road vehicle control application’, Proceedings of Advances in Computing and Technology. (AC&T) The School of Computing and Technology 1st Annual Conference. University of East London, pp. 136-141.
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Forced dynamic control (FDC) is a generally applicable model based control technique in the time domain originated by the author (Dodds, 2005), extending to nonlinear multivariable plants, which takes advantage of modern digital processor implementation. The closed-loop system is forced to obey a specified dynamics, which may be linear or nonlinear. The plant model and the FDC can be formulated in the continuous or discrete time domain and a general theory is presented, with the aid of a newly defined differential/difference operator. The control method is exemplified by its application for adaptive cruise control (ACC) in which an additional throttle input to the driver’s input is the control variable which modifies the road traffic dynamics to damp the well known wave motion that can build up in trails of vehicles on a motorway, thereby preventing traffic congestion. The Golzis- Herman-Rothery (GHR) vehicle following model is used. The simulations demonstrate very effective control.
|Divisions:||Schools > Architecture Computing and Engineering, School of|
|Additional Information:||Citation: Dodds, S.J. (2006) ‘Forced dynamic control: a model based control technique illustrated by a road vehicle control application’ Proceedings of Advances in Computing and Technology, (AC&T) The School of Computing and Technology 1st Annual Conference, University of East London, pp.136-141.|
|Date Deposited:||12 Jul 2010 14:51|
|Item Type:||Conference or Event Item (Paper)|
|Creators:||Dodds, Stephen J.|
|Last Modified:||27 Sep 2012 11:58|
|Depositing User:||Stephen Grace|