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Nonlinear Adaptive Engine Speed Control Using an Instrumental Variables Approach and a Truncated Volterra Series

[+] Author Affiliations
Jonathan W. Anders

Purdue University

Matthew A. Franchek

University of Houston

Paper No. IMECE2005-79030, pp. 281-288; 8 pages
  • ASME 2005 International Mechanical Engineering Congress and Exposition
  • Dynamic Systems and Control, Parts A and B
  • Orlando, Florida, USA, November 5 – 11, 2005
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 0-7918-4216-9 | eISBN: 0-7918-3769-6
  • Copyright © 2005 by ASME


An instrumental variable approach to nonlinear model-based adaptive control of engine speed is investigated and implemented on a spark ignition internal combustion engine. A four-step version of the instrumental variable parameter estimation algorithm is used to identify a bias-free and noise tolerant model of the engine dynamics between the by-pass air valve voltage and engine speed. The parametric model representing the engine dynamics is a truncated Volterra series with a time delay. Model-based adaptive control is accomplished through a partitioned inversion of the engine model which is minimum phase and OL stable. The desired closed loop throttle response and disturbance rejection dynamics are introduced via a two-degree-of-freedom feedback control structure. Performance of the nonlinear model-based adaptive control algorithm is verified experimentally.

Copyright © 2005 by ASME



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