Adaptive Super Twisting control design for manufactured diesel engine air path

Adaptive Super Twisting control design for manufactured diesel engine air path In this paper, we design a higher order sliding mode controller for the purpose of regulating the diesel engine air path. The proposed controller is based upon the Super Twisting control algorithm (STA) which is well known for its ability to reduce the so-called chattering phenomenon which affects the classical sliding mode controllers. The proposed controller is an Adaptive Super Twisting (ASTA) controller which incorporates an adaptive mechanism for tuning the control gains. This mechanism allows the controller to deal with unknown bounds on the uncertainties and the actuator faults that may affect the engine. Theoretical conditions on the control gains are provided in order to ensure the convergence of the ASTA controller. The simulations on a recently validated experimental air path diesel engine model show good results for actuator failures conditions even in the presence of uncertainties on model parameters. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Advanced Manufacturing Technology Springer Journals

Adaptive Super Twisting control design for manufactured diesel engine air path

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Publisher
Springer London
Copyright
Copyright © 2017 by Springer-Verlag London
Subject
Engineering; Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design
ISSN
0268-3768
eISSN
1433-3015
D.O.I.
10.1007/s00170-017-0327-9
Publisher site
See Article on Publisher Site

Abstract

In this paper, we design a higher order sliding mode controller for the purpose of regulating the diesel engine air path. The proposed controller is based upon the Super Twisting control algorithm (STA) which is well known for its ability to reduce the so-called chattering phenomenon which affects the classical sliding mode controllers. The proposed controller is an Adaptive Super Twisting (ASTA) controller which incorporates an adaptive mechanism for tuning the control gains. This mechanism allows the controller to deal with unknown bounds on the uncertainties and the actuator faults that may affect the engine. Theoretical conditions on the control gains are provided in order to ensure the convergence of the ASTA controller. The simulations on a recently validated experimental air path diesel engine model show good results for actuator failures conditions even in the presence of uncertainties on model parameters.

Journal

The International Journal of Advanced Manufacturing TechnologySpringer Journals

Published: Apr 1, 2017

References

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