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

Author:

Anders Jonathan W.1,Franchek Matthew A.2

Affiliation:

1. Purdue University

2. University of Houston

Abstract

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.

Publisher

ASMEDC

Reference21 articles.

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