Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Modified Volterra model-based non-linear model predictive control of IC engines with real-time simulations

Shi, Y, Yu, DL, Tian, Y and Shi, Y (2015) Modified Volterra model-based non-linear model predictive control of IC engines with real-time simulations. Transactions of the Institute of Measurement and Control, 39 (2). pp. 208-223. ISSN 0142-3312

[img]
Preview
Text
Modified Volterra model-based non-linear model predictive control of IC engines with real-time simulations.pdf - Accepted Version

Download (2MB) | Preview

Abstract

Modelling of non-linear dynamics of an air manifold and fuel injection in an internal combustion (IC) engine is investigated in this paper using the Volterra series model. Volterra model-based non-linear model predictive control (NMPC) is then developed to regulate the air–fuel ratio (AFR) at the stoichiometric value. Due to the significant difference between the time constants of the air manifold dynamics and fuel injection dynamics, the traditional Volterra model is unable to achieve a proper compromise between model accuracy and complexity. A novel method is therefore developed in this paper by using different sampling periods, to reduce the input terms significantly while maintaining the accuracy of the model. The developed NMPC system is applied to a widely used IC engine benchmark, the mean value engine model. The performance of the controlled engine under real-time simulation in the environment of dSPACE was evaluated. The simulation results show a significant improvement of the controlled performance compared with a feed-forward plus PI feedback control.

Item Type: Article
Uncontrolled Keywords: Science & Technology; Technology; Automation & Control Systems; Instruments & Instrumentation; Air-fuel ratio control; IC engines; Volterra model; non-linear model predictive control; real-time simulations; OBSERVER; ALGORITHM; NETWORKS
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: General Engineering Research Institute
Publisher: Sage
Related URLs:
Date Deposited: 05 Nov 2018 11:56
Last Modified: 05 Nov 2018 13:28
DOI or Identification number: 10.1177/0142331215604893
URI: http://researchonline.ljmu.ac.uk/id/eprint/9610

Actions (login required)

View Item View Item