ABSTRAK Yusuf Kurniawan Asalani

PUBLIC Alice Diniarti COVER Yusuf Kurniawan Asalani

PUBLIC Alice Diniarti BAB 1 Yusuf Kurniawan Asalani

PUBLIC Alice Diniarti BAB 2 Yusuf Kurniawan Asalani

PUBLIC Alice Diniarti BAB 3 Yusuf Kurniawan Asalani

PUBLIC Alice Diniarti
BAB 4A Yusuf Kurniawan Asalani

Terbatas Alice Diniarti

» Gedung UPT Perpustakaan

Terbatas Alice Diniarti

» Gedung UPT Perpustakaan

BAB 5 Yusuf Kurniawan Asalani

PUBLIC Alice Diniarti PUSTAKA Yusuf Kurniawan Asalani

PUBLIC Alice Diniarti
Dynamic characteristics of an aircraft is significantly determined by its
configuration, whose design is dictated by the purpose and mission of the aircraft.
as example, a fighter aircraft usually has a fast and often unstable dynamics.
Therefore, automatic flight control system is a mandatory for this kind of aircraft
since controlling its dynamics is very demanding for a human operator. The control
system for a fighter aircraft must be able to anticipate its fast dynamics and possible
significant change of its parameters due to its wide operating regime and extreme
maneuvers.
In this research, adaptive model predictive control method is implemented as a
multivariable flight control system for fighter aircraft. The method has feature to
optimize and generate the required control action based on prediction of the future
input and plant response. The predicted variables are computed based on predictor
model which are determined via identification process. Hence, this method can be
viewed as an optimized control scheme that considers the change of the plant
dynamics and possible response of the plant in the future. These features are then
explored to accommodate the need for controlling a fighter aircraft by considering
some aspects that may arise during the implementation, i.e., change of plant
parameter, time-delay dynamics, nonlinearity, and complexity of the maneuver.
Adaptive model predictive control scheme is developed and implemented in
multivariable linear and nonlinear models of two fighter aircrafts. The first is a
linear model with redundant feature and ability to provide asymmetric input that
induces its dynamics in six degrees-of-freedom. Control method performance to
handle time-delay is also able to be observed using the linear model. The second
model, nonlinear one, is exploited to investigate the performance of the control
method to anticipate nonlinearity. The results show that the developed control
method has good capability to anticipate the change of plant parameter and
nonlinearity. While to some extent, the method can overcome delay in the input and
achieve good multivariable tracking performance for a complex maneuver.