Abstract
In the design of the six degrees of freedom (6-DOF) flight simulation system, the unmodeled dynamic, transient performance and steady-state performance of the system are generally concerned. Considering that the model of flight simulation system is highly nonlinear and requires high response speed and high stability, this paper applies L1 adaptive controller to the control of flight simulation platform. The controller has a low-pass filter in feedback loop to avoid high frequencies in the control signals, and the required transient performance can be enhanced by increasing the adaptive gain, which can improve the transient, stability, and smoothness of the flight simulator platform. The performance of the L1 adaptive controller is obtained by comparison with the traditional model reference adaptive controller (MRAC). In addition to maintaining the good transient response of MRAC, the L1 adaptive controller improves the stability of the system. The output amplitude of the actuator is reduced by 39.95%, which effectively reduces the performance requirements of the actuator. Some additional experimental evaluations are carried out to show the performance of the controller.
Highlights
In the design of the six degrees of freedom (6-DOF) flight simulation system, the unmodeled dynamic, transient performance and steady-state performance of the system are generally concerned
In order to ensure that the input and output of uncertain linear systems can track the input and output of the reference system in real time, we can reform the model reference adaptive controller (MRAC) of the Stewart-Gough flight simulation platform given in Equation (18) into the following control structure:
The modeling parameters required for the experiment are from the 6-DOF StewartGough flight simulator platform shown in Figure 2, and the dynamic model and the L1 adaptive controller were implemented in MatLab
Summary
According to Boeing’s annual statistics on flight accidents, LOSS-OF-CNOTROL InFlight (LOC-I) has become the primary cause of fatal commercial aviation fatalities [1,2,3,4], and there is no effective way to avoid the aircraft entering all abnormal conditions. The flight simulator becomes the only tool that can safely, cost-effectively, and systematically carry out such abnormal state correction training [6]. An L1 adaptive controller for Stewart-Gough platform is presented in this paper. In this method, L1 gain is introduced to ensure the asymptotic stability of the system. L1 gain is introduced to ensure the asymptotic stability of the system Another feature is the introduction of the low-pass filter in the design of control rate to avoid high frequency in the control signal, and the filter can be used to reduce the output amplitude of the actuator in transient state.
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