Real-time Adaptive Predictive Control of the Diesel Engine Air-path Based on Fuzzy Parameters Estimation

Alexandros Plianos; Richard Stobart; Ali Achir

doi:10.4271/2007-01-0971

2007-04-16

Real-time Adaptive Predictive Control of the Diesel Engine Air-path Based on Fuzzy Parameters Estimation 2007-01-0971

In this paper, a robust adaptive optimal tracking control design for the air-path system of diesel engines with uncertain parameters and external driver commands is proposed.

First, an optimal controller based on the analytic solution of a performance index is derived. It achieves tracking of suitable references (corresponding to low emissions and fuel consumption) for both the air-fuel ratio and the fraction of the recirculated exhaust gas. Then, a fuzzy estimation algorithm is used to identify the plant parameters and consequently to adapt the controller online.

The simulated diesel engine is a medium duty Caterpillar 3126B with six cylinders, equipped with a variable geometry turbocharger and an exhaust gas recirculation valve. The proposed controller design is based on the reduced third order mean value model and implemented as a closed-form nonlinear model predictive control law on the full order model. The resulting controllers, with and without adaptation, are assessed through simulations with a SIL architecture using dSpace simulator. The adaptive controller, in particular, exhibits good control performance, with zero tracking offset with also ensuring global stability and tracking of output references.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Digital $37.00 Print $37.00

Preview Document

We also recommend:

Standards

SAE Mobilus®

Publications

News

Events

Professional Development

A World in Motion (PreK-12)

Participate with SAE

SAE Membership

Donate

Real-time Adaptive Predictive Control of the Diesel Engine Air-path Based on Fuzzy Parameters Estimation 2007-01-0971

SAE MOBILUS