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An MPC/hybrid system approach to traction control

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4 Author(s)
Borrelli, F. ; Autom. Control Lab., ETH-Zurich, Switzerland ; Bemporad, A. ; Fodor, M. ; Hrovat, D.

This paper describes a hybrid model and a model predictive control (MPC) strategy for solving a traction control problem. The problem is tackled in a systematic way from modeling to control synthesis and implementation. The model is described first in the Hybrid Systems Description Language to obtain a mixed-logical dynamical (MLD) hybrid model of the open-loop system. For the resulting MLD model, we design a receding horizon finite-time optimal controller. The resulting optimal controller is converted to its equivalent piecewise affine form by employing multiparametric programming techniques, and finally experimentally tested on a car prototype. Experiments show that good and robust performance is achieved in a limited development time by avoiding the design of ad hoc supervisory and logical constructs usually required by controllers developed according to standard techniques.

Published in:

Control Systems Technology, IEEE Transactions on  (Volume:14 ,  Issue: 3 )