Flightplan flight tests of an experimental DA42 general aviation aircraft

Schatz, Simon P.; Schneider, Volker; Karlsson, Erik; Holzapfel, Florian; Baier, Thaddäus; Christoph, Dorhofer; Hochstrasser, Markus; Gabrys, Agnes; Krause, Christoph; Lauffs, Patrick J.; Mumm, Nils C.; Kajetan, Nurnberger; Peter, Lars; Philip, Spiegel; Steinert, Lukas; Zollitsch, Alexander W.

doi:10.1109/icarcv.2016.7838646

Cited by 23 publications

(4 citation statements)

References 14 publications

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“…Finally, the gain tuning within the pseudocontrol in Equation ( 11) should be addressed. To this end, it is especially interesting to consider the nature of the derived nonlinear error dynamics in Equation (9), which are of a linear, parameter-varying type. Here, sophisticated analysis methods can be used to significantly boost performance and already ensure stability as well as desired behavior of the error dynamics in connection with a suitable design of the reference trajectory.…”

Section: Discussionmentioning

confidence: 99%

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Trajectory/Path-Following Controller Based on Nonlinear Jerk-Level Error Dynamics

et al. 2020

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This study proposes a novel, nonlinear trajectory/path-following controller based on jerk-level error dynamics. Therefore, at first the nonlinear acceleration-based kinematic equations of motion of a dynamic system are differentiated with respect to time to obtain a representation connecting the translation jerk with the (specific) force derivative. Furthermore, the path deviation, i.e., the difference between the planned and the actual path, is formulated as nonlinear error dynamics based on the jerk error. Combining the derived equations of motion with the nonlinear error dynamics as well as employing nonlinear dynamic inversion, a control law can be derived that provides force derivative commands, which may be commanded to an inner loop for trajectory control. This command ensures an increased smoothness and faster reaction time compared to traditional approaches based on a force directly. Furthermore, the nonlinear parts in the error dynamic are feedforward components that improve the general performance due to their physical connection with the real dynamics. The validity and performance of the proposed trajectory/path-following controller are shown in an aircraft-related application example.

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Section: Discussionmentioning

confidence: 99%

“…Additionally, they provide good interaction with the necessary inner-loop controllers as they can consider their dynamic behavior. Examples comprise backstepping control approaches [6], (nonlinear) adaptive control [7], and nonlinear dynamic inversion [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Trajectory/Path-Following Controller Based on Nonlinear Jerk-Level Error Dynamics

et al. 2020

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“…With the equations from Section 3, an online trajectory generation system was implemented in Simulink ® following strict guidelines, allowing us to obtain a code-compliant software according to the DO-178/DO-331 [33]. The clothoid-based lateral implementation of the trajectory generation system has been successfully flight tested on a fixed wing aircraft [13].…”

Section: Testing Environment Overviewmentioning

confidence: 99%

“…While the approach is proven to work well for fixed-wing aircraft, flight path construction is more restrictive when considering eVTOL configurations. The clothoid-based approach is widely used for its simplicity and the system presented in [11] has been successfully flight tested on a fixed-wing aircraft [13].…”

Section: Introductionmentioning

confidence: 99%

Online Deterministic 3D Trajectory Generation for Electric Vertical Take-Off and Landing Aircraft

Mbikayi,

Steinert,

Heimsch

et al. 2024

Aerospace

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The use of non-piloted eVTOL aircraft in non-segregated airspace requires reliable and deterministic automatic flight guidance systems for the aircraft to remain predictable to all the users of the airspace and maintain a high level of safety. In this paper we present a 3D trajectory generation module based on clothoid transition segments in the horizontal plane and high order polynomial transition segments in the vertical plane. The expressions of the coefficients of the polynomial are derived offline are used to generate the trajectory online, making the system capable of running in real time without requiring enormous computational power. For the horizontal plane, we focus on the flyby transition, and therefore present a thorough analysis of the flyby geometry and the limitations linked to this geometry and the construct of three-segment trajectory generation around a fixed turn rate. We present feasible solutions for these limitations, and show simulation results for the combined horizontal and vertical plane concepts, allowing the system to generate complex 3D trajectories.

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Application of a Process-Oriented Build Tool for Flight Controller Development Along a DO-178C/DO-331 Process

Hochstrasser¹,

Myschik

Holzapfel³

2019

Communications in Computer and Information Science

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Flightplan flight tests of an experimental DA42 general aviation aircraft

Cited by 23 publications

References 14 publications

Trajectory/Path-Following Controller Based on Nonlinear Jerk-Level Error Dynamics

Trajectory/Path-Following Controller Based on Nonlinear Jerk-Level Error Dynamics

Online Deterministic 3D Trajectory Generation for Electric Vertical Take-Off and Landing Aircraft

Application of a Process-Oriented Build Tool for Flight Controller Development Along a DO-178C/DO-331 Process

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