Data-Based Gain-Scheduled Modeling and Nonlinear Control of Engine Intake and Exhaust System

Wang, X. M., Zhang, Shujun ORCID: 0000-0001-5699-2676 and Bechkoum, Kamal ORCID: 0000-0001-5857-2763 (2016) Data-Based Gain-Scheduled Modeling and Nonlinear Control of Engine Intake and Exhaust System. Proceedings of the 5th International Conference on Mechanical Engineering, Materials and Energy, 90. pp. 119-124. doi:10.2991/icmeme-16.2016.21

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Abstract

In this paper, the parameterized dynamical model of the diesel engine intake and exhaust system using a data-based method, namely a Gain-Scheduled model is proposed and designed based on the data from a virtual engine test bench under normal load conditions. In the first step, the Multiple Input Multiple Output model structure is defined with five inputs and two outputs. Using the constructed model, it is possible to establish the relations between intake Manifold Pressure, Air Mass Flow, the control signals, and changes of the load. Then, the model is further used to design a Nonlinear Model Predictive Control controller, aimed at optimizing the efficiency of the combustion system in terms of the control reference value tracking with respect to emission reduction. This paper follows a model-based design approach to construct the Nonlinear Model Predictive Control objective function for the engine intake Manifold Pressure and Air Mass Flow nonlinear control problem. The proposed data-based dynamical modeling method is shown to increase the flexibility for the modeling of nonlinear plant at a low cost in computational requirements. The experimental results illustrate that the optimized nonlinear control approach significantly improve the control reference tracking performance and the exhaust emissions against the standard decentralized Single Input Single Output control in the standard production Engine Control Unit.

Item Type:	Article
Article Type:	Article
Additional Information:	5th International Conference on Mechanical Engineering, Materials and Energy (ICMEME)10-11 December 2016, Hong Kong, Peoples Republic of China
Uncontrolled Keywords:	Model-Based Design; Exhaust Gas Recirculation; Variable Geometry Turbocharger; Emissions; Optimization; Gain-Scheduled
Subjects:	T Technology > TJ Mechanical engineering and machinery
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Susan Turner
Date Deposited:	28 Apr 2017 11:37
Last Modified:	31 Aug 2023 08:01
URI:	https://eprints.glos.ac.uk/id/eprint/4407

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