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Inverse Simulation for Gas Turbine Engine Control through Differential Algebraic Inequality Formulation

Uppal, Tarun and Raha, Soumyendu and Srivastava, Suresh (2018) Inverse Simulation for Gas Turbine Engine Control through Differential Algebraic Inequality Formulation. In: INTERNATIONAL JOURNAL OF TURBO & JET-ENGINES, 35 (4). pp. 373-383.

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Official URL: http://dx.doi.org/10.1515/tjj-2016-0057

Abstract

Modern day gas turbines are prime movers in land, air and sea. They have stringent performance requirements to meet the complex mission objectives. Optimal control strategies can help them meet their performance objectives more efficiently. A novel inverse simulation method for optimal control and system analysis studies using Differential Algebraic Equality/Inequality (DAE/DAI) technique is brought out in this paper with a case study. The gas turbine model together with safety constraints and performance specifications is represented as a high index DAI/DAE system. The solution for this DAE/DAI system is obtained using a new numerical approach that is capable of handling both equality and inequality constraints on system dynamics. The algorithm involves direct numerical integration of a DAI formulation in a time stepping manner using Sequential Quadratic Programming (SQP) solver that detects and satisfy active constraints at each time step (mesh point). In this unique approach the model and the constraints are always solved together. The method ensures stable solution at each time step, local minimum at each iteration of simulation and provides a regularised basis to the solver. Compared to other existing computationally intensive techniques in usage, this approach is easy, ensures continuous constraint satisfaction and provides a viable option for Model Predictive Control (MPC) of gas turbine engines.

Item Type: Journal Article
Additional Information: Copy right for this article belong to WALTER DE GRUYTER GMBH
Keywords: Differential Algebraic Inequalities (DAIs); Inverse Simulation; Gas Turbine Engine Control
Department/Centre: Division of Interdisciplinary Research > Supercomputer Education & Research Centre
Depositing User: Id for Latest eprints
Date Deposited: 27 Nov 2018 15:44
Last Modified: 27 Nov 2018 15:44
URI: http://eprints.iisc.ac.in/id/eprint/61165

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