MPC-based yaw and lateral stabilisation via active front steering and braking

By Paolo Falcone, H. Eric Tseng, Francesco Borrelli, Jahan Asgari, Davor Hrovat. 2008

399 citations recorded by the source corpus.

In this paper, we propose a path following Model Predictive Control-based (MPC) scheme utilising steering and braking. The control objective is to track a desired path for obstacle avoidance manoeuvre, by a combined use of braking and steering. The proposed control scheme relies on the Nonlinear MPC (NMPC) formulation we used in [F. Borrelli, et al., MPC-based approach to active steering for autonomous vehicle systems, Int. J. Veh. Autonomous Syst. 3(2/3/4) (2005), pp. 265–291.] and [P. Falcone, et al., Predictive active steering control for autonomous vehicle systems, IEEE Trans. Control Syst. Technol. 15(3) (2007), pp. 566–580.]. In this work, the NMPC formulation will be used in order to derive two different approaches. The first relies on a full tenth-order vehicle model and has high computational burden. The second approach is based on a simplified bicycle model and has a lower computational complexity compared to the first. The effectiveness of the proposed approaches is demonstrated through simulations and experiments.

Subfields: Automotive Engineering, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/463a81c6fc764c77fb82d1bffc5744ff4059aaa3

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In Automotive Engineering

  1. Chuanyang Sun
  2. Azim Eskandarian
  3. Stefano Di Cairano
  4. Chaoxian Wu
  5. Francesco Borrelli

In Control and Systems Engineering

  1. Stefano Di Cairano
  2. Alberto Bemporad
  3. Chuanyang Sun
  4. H. E. Tseng
  5. Azim Eskandarian
  6. Chaoxian Wu
  7. Francesco Borrelli
  8. Manfred Morari

Citations in the corpus