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Model Predictive Control of a Two Stage Actuation System using Piezoelectric Actuators for Controllable Industrial and Automotive Brakes and Clutches

Department of Mechanical Engineering, The Ohio State University, Columbus, Ohio, USA

Gregory N. Washington

Department of Mechanical Engineering, The Ohio State University, Columbus, Ohio, USA, washington.88{at}osu.edu

Norman K. Bucknor

Powertrain Systems Research Lab, General Motors R&D, Warren, Michigan, USA

High bandwidth actuation systems that are capable of simultaneously producing relatively large forces and displacements are required for use in automobiles and other industrial applications. Conventional hydraulic actuation mechanisms used in automotive brakes and clutches are complex, inefficient and have poor control robustness. These lead to reduced fuel economy, controllability issues and other disadvantages. Recently, a two-stage hybrid actuation mechanism was proposed by combining classical electromechanical actuators like DC motors and advanced smart material devices like piezoelectric actuators. This article discusses the development and implementation of a model predictive control methodology for controlling this two-stage actuation system in tracking various reference inputs. Additionally, this methodology also employs a unit-step delayed disturbance estimate to account for actuator hysteresis, other nonlinearities and unmodeled dynamics in the system. Finally, the article highlights the effectiveness of this control methodology experimentally by tracking various reference inputs.

Key Words: brakes • clutches • smart materials • piezoelectric actuators • model predictive control • two-stage actuation.

This version was published on July 1, 2008

Journal of Intelligent Material Systems and Structures, Vol. 19, No. 7, 845-857 (2008)
DOI: 10.1177/1045389X07082024


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