Abstract:
Robust Control System Design for a Class
of Uncertain Nonlinear Systems
The work presented in this thesis is an endeavor to combine two nonlinear
control frameworks in order to utilize the beneficial attributes of adaptive backstepping
and sliding mode control or integral sliding mode control techniques. The adaptive
backstepping method is capable of eliminating external disturbances and dynamically
estimating the unknown parameters. This technique solves the problem of relative
degree which is the main drawback of conventional sliding mode control method.
It is also globally effective for the stability of the nonlinear control systems. The
sliding mode control is another widely used method due to its robustness against
matching uncertainties. The robustness of nonlinear system can be enhanced by
adding an integral term with the sliding manifold of sliding mode control method.
This attribute is achieved by eliminating the reaching phase of sliding mode control
which makes it immune against fast parametric variations that occurs during
reaching phase.
On the basis of this synergy, new strategies have been proposed which
are named as Adaptive Backstepping Higher Order Integral Sliding Mode Control
(ABHOISMC), and Adaptive Backstepping Integral Sliding Mode Control (ABISMC),
and based on our simulation studies, they are found to be more robust against both
matching and mismatching uncertainties. During the implementation of newly
proposed techniques, it is not necessary to transform the system into triangular
form which is generally needed in the conventional backstepping procedure.
The first proposed scheme, the ABISMC, is applied to control the parameters
of continuous stirred tank regulator plant with its model expressed mathematically
in a non-triangular form. The simulation results establish the efficacy of the
proposed scheme. As a second example, the ABISMC is also applied for the
tracking of the desired output in a field-controlled direct-current motor. The
simulation results are found to be very convincing. Finally, the second proposal, the
ABHOISMC, is applied on a theoretical plant expressed in a semi-strict feedback
form; the resulting simulation findings substantiate our claims.