Abstract
In this paper, an extended signal-correction observer (ESCO) is presented for signals correction and estimation, which not only can reject the large measurement error, but also the system uncertainty can be estimated, in spite of the existence of intense stochastic non-Gaussian noise. Multi-input describing function method is proposed to analyze the ESCO robustness in frequency domain. The ESCOs are developed for position/velocity and attitude angle/angular rate integrations, respectively, and they are applied to an aircraft navigation. Based on the ESCO, the position, attitude angle, and the uncertainties in the flight dynamics are estimated. Experiments demonstrate the effectiveness of the proposed method.
Highlights
U SUALLY controlling an aircraft needs the information of the position and attitude
The following scenario of aircraft navigation is considered: large sensor errors and uncertainties exist in position and attitude; stochastic non-Gaussian noise exists in the velocity and angular rate; the extended signal-correction observer (ESCO) are adopted to estimate the position, attitude angle and system uncertainties
The ESCO provides the estimations of the position and uncertainties, which are replaced into the controller
Summary
U SUALLY controlling an aircraft needs the information of the position and attitude. many aircrafts are underactuated dynamic systems with highly uncertain behaviors: unmodelled dynamics, parametric uncertainties and aerodynamic disturbance are inevitable. As stochastic non-Gaussian noise exists in signal, the inaccurate noise information may lead to position and attitude drifts These methods cannot deal with the effect of system uncertainties. In this paper, injecting the merits of the robustness of finitetime-stable systems [17,18] and high-gain technique [19], an ESCO is presented to reject the large sensor errors in position/attitude, and synchronously to estimate the uncertainty in spite of the existence of stochastic non-Gaussian noise. The following scenario of aircraft navigation is considered: large sensor errors and uncertainties exist in position and attitude; stochastic non-Gaussian noise exists in the velocity and angular rate; the ESCOs are adopted to estimate the position, attitude angle. A control law based on the ESCOs is designed to stabilize the flight
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.