Towards Real-Time Model Predictive Control Approach for Autonomous Active Steering
Paolo Falcone, Francesco Borrelli, Jahan Asgari, H. Eric Tseng, Davor Hrovat
Abstract
Paolo Falcone, Francesco Borrelli, Jahan Asgari, H. Eric Tseng, Davor Hrovat
Abstract
In this paper we follow the novel approach presented in [1] to autonomous active steering control design. A nonlinear Model Predictive Control (MPC) scheme is designed to control front wheel steering in order to stabilize a vehicle along a desired path while fulfilling its physical constraints.The proposed nonlinear MPC controller has been implemented in in real time by using advanced sensors, actuators and non-linear optimization solvers. This papers presents the experimental setup and the experimental results obtained at low vehicle speeds on icy roads with a passenger car.
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In this paper we follow the novel approach presented in [1] to autonomous active steering control design. A nonlinear Model Predictive Control (MPC) scheme is designed to control front wheel steering in order to stabilize a vehicle along a desired path while fulfilling its physical constraints.The proposed nonlinear MPC controller has been implemented in in real time by using advanced sensors, actuators and non-linear optimization solvers. This papers presents the experimental setup and the experimental results obtained at low vehicle speeds on icy roads with a passenger car.
Key concepts: Model predictive control, Actuator, Control theory (sociology), Active steering, Control engineering, Nonlinear system, Controller (irrigation), Engineering