Feedback methods for inverse simulation of dynamic models for engineering systems applications

Murray-Smith, D.J. (2011) Feedback methods for inverse simulation of dynamic models for engineering systems applications. Mathematical and Computer Modelling of Dynamical Systems, 17(5), pp. 515-541. (doi: 10.1080/13873954.2011.584323)

Abstract

Inverse simulation is a form of inverse modelling in which computer simulation methods are used to find the time histories of input variables that, for a given model, match a set of required output responses. Conventional inverse simulation methods for dynamic models are computationally intensive and can present difficulties for high-speed applications. This paper includes a review of established methods of inverse simulation,giving some emphasis to iterative techniques that were first developed for aeronautical applications. It goes on to discuss the application of a different approach which is based on feedback principles. This feedback method is suitable for a wide range of linear and nonlinear dynamic models and involves two distinct stages. The first stage involves design of a feedback loop around the given simulation model and, in the second stage, that closed-loop system is used for inversion of the model. Issues of robustness within closed-loop systems used in inverse simulation are not significant as there are no plant uncertainties or external disturbances. Thus the process is simpler than that required for the development of a control system of equivalent complexity. Engineering applications of this feedback approach to inverse simulation are described through case studies that put particular emphasis on nonlinear and multi-input multi-output models.

• Item Type: Articles
• Keywords: Inverse model, inverse simulation, feedback, aircraft, flight dynamics, coupled-tanks system, liquid-level control
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Murray-Smith, Professor David
• Authors: Murray-Smith, D.J.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science; T Technology > TJ Mechanical engineering and machinery; T Technology > TK Electrical engineering. Electronics Nuclear engineering; T Technology > TL Motor vehicles. Aeronautics. Astronautics
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: Mathematical and Computer Modelling of Dynamical Systems
• Publisher: Taylor and Francis
• ISSN: 1744-5051
• Published Online: 10 June 2011
• Copyright Holders: Copyright © 2011 Taylor and Francis
• First Published: First published in Mathematical and Computer Modelling of Dynamical Systems 17(5):515-541
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher