From Theory to Practice: Incremental Nonlinear Control

A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Control Systems".

Deadline for manuscript submissions: 30 April 2024 | Viewed by 3476

Special Issue Editors


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Guest Editor
Faculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands
Interests: non-linear control; aerial robotics; aeroservoelasticity; morphing; reinforcement learning
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Guest Editor
Faculty of Aerospace Engineering, Delft University of Technology, Delft, The Netherlands
Interests: nonlinear control; interval analysis; global nonlinear optimization; knowledge-based control

Special Issue Information

Dear Colleagues,

Nonlinear incremental control is a branch of control methods that utilize a data-driven incremental model. It exploits sensor measurements online and can simultaneously reduce controller model dependency and robustness. The word incremental means the controllers are designed considering the variations of state, control, and control derivatives in one incremental time step. The first invented and most well-known incremental control method is the incremental nonlinear dynamic inversion (INDI). Both theoretical and practical research has shown superior robustness and easier implementation of INDI compared to its nonlinear dynamic inversion counterpart. Originating from INDI, various nonlinear incremental control methods have been developed in the past decade, including incremental backstepping, adaptive incremental control, incremental adaptive dynamic programming, etc. These nonlinear incremental control methods have also found their broad applications in various practical fields including, aerospace, robotics, and mechanical systems.

This Special Issue aims to welcome contributions to the theoretical and practical perspectives of incremental control, including but not limited to the following:

  • Stability analysis;
  • Robustness analysis;
  • Novel controller design based on an incremental model;
  • Novel applications of nonlinear incremental control.

Dr. Xuerui Wang
Dr. Erik-Jan Van Kampen
Guest Editors

Manuscript Submission Information

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Keywords

  • nonlinear control
  • incremental
  • robustness
  • data-driven

Published Papers (2 papers)

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33 pages, 6190 KiB  
Article
Practical System Identification and Incremental Control Design for a Subscale Fixed-Wing Aircraft
by Rasmus Steffensen, Kilian Ginnell and Florian Holzapfel
Actuators 2024, 13(4), 130; https://doi.org/10.3390/act13040130 - 04 Apr 2024
Viewed by 473
Abstract
An incremental differential proportional integral (iDPI) control law using eigenstructure assignment gain design is tested in flight on a subscale platform to validate its suitability for fixed-wing flight control. A kinematic relation for the aerodynamic side-slip angle rate is developed to apply a [...] Read more.
An incremental differential proportional integral (iDPI) control law using eigenstructure assignment gain design is tested in flight on a subscale platform to validate its suitability for fixed-wing flight control. A kinematic relation for the aerodynamic side-slip angle rate is developed to apply a pseudo full state feedback. In order to perform the gain design and assessment, a plant model is estimated using flight test data from gyro, accelerometer, airspeed and surface deflection measurements during sine-sweep excitations. Transfer function models for the actuators and surface deflections are identified both in-flight and on the ground for several different actuators and control surfaces using hall sensor surface deflection measurements. The analysis reveals a large variation in bandwidth between the different types of servo motors. Flight test results are presented which demonstrates that the plant model estimates based on tests with good frequency excitation, high bandwidth actuators and surface deflection measurements can be used to reasonably predict the closed-loop dynamic behavior of the aircraft. The closed-loop flight test results of the iDPi control law show good performance and lays the groundwork for further development. Full article
(This article belongs to the Special Issue From Theory to Practice: Incremental Nonlinear Control)
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16 pages, 2115 KiB  
Article
Incremental Nonlinear Control for Aeroelastic Wing Load Alleviation and Flutter Suppression
by Roderick Schildkamp, Jing Chang, Jurij Sodja, Roeland De Breuker and Xuerui Wang
Actuators 2023, 12(7), 280; https://doi.org/10.3390/act12070280 - 09 Jul 2023
Cited by 1 | Viewed by 2223
Abstract
This paper proposes an incremental nonlinear control method for an aeroelastic system’s gust load alleviation and active flutter suppression. These two control objectives can be achieved without modifying the control architecture or the control parameters. The proposed method has guaranteed stability in the [...] Read more.
This paper proposes an incremental nonlinear control method for an aeroelastic system’s gust load alleviation and active flutter suppression. These two control objectives can be achieved without modifying the control architecture or the control parameters. The proposed method has guaranteed stability in the Lyapunov sense and also has robustness against external disturbances and model mismatches. The effectiveness of this control method is validated by wind tunnel tests of an active aeroelastic parametric wing apparatus, which is a typical wing section containing heave, pitch, flap, and spoiler degrees of freedom. Wind tunnel experiment results show that the proposed nonlinear incremental control can reduce the maximum gust loads by up to 46.7% and the root mean square of gust loads by up to 72.9%, while expanding the flutter margin by up to 15.9%. Full article
(This article belongs to the Special Issue From Theory to Practice: Incremental Nonlinear Control)
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