Looking at problems the other way round: engineering applications of inverse simulation based on continuous system simulation methods

Murray-Smith, D.J. (2013) Looking at problems the other way round: engineering applications of inverse simulation based on continuous system simulation methods. In: 8th Eurosim Congress, Cardiff, UK, 10-13 Sep 2013,

Abstract

An inverse simulation can be used to find system inputs such that model outputs will match specified time histories. For example, in aeronautical engineering, an inverse simulation could be used to find the pilot’s control inputs needed to perform a given aircraft manoeuvre. More generally, inverse simulation can be helpful in considering actuator design issues in the context of automatic control systems. Much of the interest in inverse simulation has arisen from specific applications, such as helicopter flight mechanics modelling and handling qualities studies, but it is shown in this paper that the inverse simulation approach can also be applied in many other ways. It should be noted that inverse simulation methods may be used both with linear and nonlinear models and for multi-input multi-output models. The inverse simulation approach can also be used for model validation, where experimental data are applied to the model.Techniques currently in use for inverse simulation can be grouped into two broad classes one of which involves discretisation of variables and the application of gradient or search-based optimization algorithms. Some iterative methods of this kind are widely used.The second broad class of methods involves the use of continuous system simulation tools. Techniques in this category include methods involving numerical solution of differential algebraic equations (DAEs) using DAE solvers. However, other techniques for continuous inverse simulation are more straightforward in their application and can be implemented using a wide range continuous system simulation tools. Two techniques of this kind are presented and applied in this paper. One involves an approximate differentiation method while the second involves the use of feedback principles.

• Item Type: Conference Proceedings
• Additional Information: Keynote Paper 4 in Conference Programme.
• Keywords: Inverse modelling, Nonlinear, Feedback, Continuous system simulation methods, Approximate differentiation, Differential Algebraic Equations.
• 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; Q Science > QA Mathematics > QA76 Computer software; 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