Nonlinear Control Design for Advanced Vehicle Systems
Ioannis Kanellakopoulos
Department of Electrical Engineering
University of California, Los Angeles
Rapid advances in computing and communications are making it
possible to introduce more and more autonomous capabilities
in vehicles operating on the ground, in the air, in space,
at sea, and even underwater. These capabilities can be utilized
to enhance the performance and safety of individual vehicles
as well as to operate vehicles in formations for specific purposes.
In order to realize this untapped potential, control must play
a central and critical role. In this context, control includes
not just the algorithms themselves, but also the sensors and actuators
that connect the computers to the physical system. This talk will
describe recent research in the Adaptive and Nonlinear Systems
Laboratory
at UCLA (http://ansl.ee.ucla.edu), which has been focusing on several
aspects of the autonomous vehicle problem, ranging from the purely
theoretical to the very applied. A focal point of this research is
the creation of theoretical tools for nonlinear control design, which
address practical issues of interest in real-world applications, such as
significant nonlinearities, incomplete state measurement, and design
objectives that vary from one operating region to the next. These tools
are used to create new solutions in applications such as active
suspension,
steer-by-wire, and driverless operation of commercial heavy vehicles.
This control research is complemented by the development of a new
ranging
sensor technology called IRIS (Intelligent Ranging with Infrared
Sensors),
and of an advanced environment for integrated design, simulation,
and experiment, as well as by the development and fabrication of
a unique experimental electric vehicle called SMARTREV
(Single-occupant, Multi-sensor, Actively-controlled,
Remotely-tracked, Traction-adjustable Research and Education Vehicle),
which is being used as an experimental platform for research on
autonomous vehicles and for student class projects on systems design.