Development of a vehicle dynamics controller for obstacle avoidance

Bevan, Geraint Paul (2008) Development of a vehicle dynamics controller for obstacle avoidance. PhD thesis, University of Glasgow.

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As roads become busier and automotive technology improves, there is considerable potential for driver assistance systems to improve the safety of road users. Longitudinal collision warning and collision avoidance systems are starting to appear on production cars to assist drivers when required to stop in an emergency. Many luxury cars are also equipped with stability augmentation systems that prevent the car from spinning out of control during aggressive lateral manoeuvres. Combining these
concepts, there is a natural progression to systems that could assist in aiding or performing lateral collision avoidance manoeuvres.

A successful automatic lateral collision avoidance system would require convergent development of many fields of technology, from sensors and instrumentation to aid environmental awareness through to improvements in driver vehicle interfaces so that a degree of control can be smoothly and safely transferred between the driver and vehicle computer. A fundamental requirement of any
collision avoidance system is determination of a feasible path that avoids obstacles and a means of causing the vehicle to follow that trajectory.

This research focuses on feasible trajectory generation and
development of an automatic obstacle avoidance controller that integrates steering and braking action.

A controller is developed to cause a specially modified car (a Mercedes `S' class with steer-by-wire and brake-by-wire
capability) to perform an ISO 3888-2 emergency obstacle avoidance manoeuvre.

A nonlinear two-track vehicle model is developed and used to
derive optimal controller parameters using a series of simulations. Feedforward and feedback control is used to track a feasible reference trajectory. The feedforward control loops use inverse models of the vehicle dynamics. The feedback control loops are implemented as linear proportional controllers with a force allocation matrix used to apportion braking effort between redundant actuators.

Two trajectory generation routines are developed: a geometric method, for steering a vehicle at its physical limits; and an optimal method, which integrates steering and braking action to make full use of available traction. The optimal trajectory is obtained using a multi-stage convex optimisation procedure.

The overall controller performance is validated by simulation using a complex proprietary model of the vehicle that is reported to have been validated and calibrated against experimental data over several years of use in an industrial environment.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Keywords: control engineering, automotive, vehicle dynamics, collision avoidance, obstacle avoidance, steer-by-wire, brake-by-wire, nonlinear, multi-input multi-output, simulation, trajectory generation, convex optimisation
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics
Q Science > QA Mathematics > QA76 Computer software
T Technology > TJ Mechanical engineering and machinery
Colleges/Schools: College of Science and Engineering > School of Engineering
Supervisor's Name: Gollee, Dr Henrik
Date of Award: 2008
Depositing User: Dr Geraint Bevan
Unique ID: glathesis:2008-246
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 05 Jun 2008
Last Modified: 10 Dec 2012 13:17

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