Flight Control Testing for the Development of Stratospheric Platform Airships

Inamoto, Yoshikazu; Saito, Katsuya; Shibasaki, Kouichi; Sasa, Shuichi; Kohno, Takashi; Harada, Kenya

doi:10.2514/6.2003-6799

Cited by 12 publications

(6 citation statements)

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“…Consider an airship with kinematic and dynamic models described as in equations (1) and (2). Taking actuator saturation in Assumption 2, actuator dynamics in equation 4and wind field into consideration, if the controller is designed by equations 7, (30), (34), and (40), then the path following objective 1 will be achieved.…”

Section: Define the Tracking Error Asmentioning

confidence: 99%

“…1 So, airships have become a platform that many countries and research institutions are competing to develop, and much has been achieved. [2][3][4] There are three typical tasks for airships including point stabilization, trajectory tracking, and path following. Point stabilization refers to the problem of steering a vehicle to a final target point, with a desired orientation.…”

Section: Introductionmentioning

confidence: 99%

“…Under Assumption 2, for the airship with kinematic and dynamic model given by equations (1),(2), and (4), to design the path parameter , control signals u , v , and r to drive the airship onto a predefined path ð Þ with a desired forward velocity u o d . And the following requirements must be met for the closed-loop system: R1: Converge to the path: lim t!1 x e ¼ 0, lim t!1 y e ¼ 0, lim t!1 e ¼ 0; R2: Velocity along the desired path: lim t!1 u ¼ u o d ; R3: Resist the effects caused by parameter variation and wind field.…”

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confidence: 99%

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Planar path following nonlinear controller design for an autonomous airship

Zhou

Wang

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part G:

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This paper investigates the planar path following control problem for an autonomous airship taking actuator saturation, actuator dynamics, parameter variation, and wind field into account. Firstly, improved nonlinear models of the airship are introduced and the control objective is formulated. Then, a command filtered backstepping controller combined with nonlinear disturbance observer is derived based on Lyapunov stability theory. The command filter is adopted to approximate the magnitude and rate saturations of actuator. The first-order inertia term is used to approximate the actuator dynamics. And, the nonlinear disturbance observer is employed to handle the disturbance caused by parameter variations and wind field. To guarantee the controller still works when saturations occur, the compensation terms are also designed. It is proved that the proposed controller can drive the airship to track a predefined path under actuator saturation, parameter variations and wind field. Besides, the proposed approach is able to avoid the complex analytic computation of command derivatives which is required in traditional backstepping method. Finally, simulations are carried out to illustrate effectiveness of the proposed controller.

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Section: Define the Tracking Error Asmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Planar path following nonlinear controller design for an autonomous airship

Zhou

Wang

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…2,3 The concept of an HAA began with the United States Navy in the late 1970s when the initial program was sponsored by Navy and developed in the 1980s. Since then, along with the rapid progress of aerospace technologies, 4 there have been numerous researches and trials focusing on the issues of designing the HAA to achieve a great performance, such as High-Altitude Airship of Lockheed Martin Company, 5 Stratospheric Platform Airship of Japan, 6 Stratospheric Airship Program of South Korea, 7 ''Berkut'' Solar Powered Airship in Russia, 8 and Multibody Advanced Airship for Transport Project of European Union. 9 With the development of airships, the propeller driven by an electric motor is widely used in the propulsion system of HAA, which allows much more control over the craft and changes in mission goals.…”

Section: Introductionmentioning

confidence: 99%

Optimal design and experiment of propellers for high altitude airship

Jiao

Song

Zhang

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part G:

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The multi-objective optimization design method and experimental validation of the propeller for high altitude airships are presented in this paper. The method of predicting the propeller's aerodynamic characteristics is based on the vortex theory. The non-dominated sorting genetic algorithm II is introduced and applied to solve the optimization problem. Then the optimization model which aims to design an efficient and lightweight propeller for high altitude airships is established based on the conditions of high altitude airships propulsion system. In addition, the effects of various design variables including pitch angle, chord length, diameter, rotational speed, and the number of blades on high altitude propeller performance are presented and discussed in a gradual manner. The optimization results indicate that the desirable tradeoff between the efficiency and weight of high altitude propeller is associated with the absorbed power, structural strength, and even the manufacturing and installation conditions. In order to evaluate the mathematical model and performance of the optimized propeller, wind tunnel experiments of scaled model on the basis of scaling laws and the full-scale propeller test using mobile testing system were carried out. It is shown that results obtained from the experiments agree well with those of the numerical calculation, which verifies that the designed propeller can satisfy the requirements of the high altitude airships' propulsion system.

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“…resulting in many countries and institutions to develop long-term hover platforms. [4][5][6] Flight control plays an essential role in the development of unmanned airships. 7 The challenge of the airship's controller design stems from the inherent dynamics nonlinearity, unknown dynamics, parametric uncertainty, and external disturbance.…”

Section: Introductionmentioning

confidence: 99%

Spatial trajectory tracking control for unmanned airships based on active disturbance rejection control

Lou

Zhu

Guo

2018

Proceedings of the Institution of Mechanical Engineers, Part G:

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In this paper, to address the spatial trajectory tracking problem of unmanned airships, a robust controller based on active disturbance rejection control is presented. By transforming the airship model to a standardized form, a straightforward design approach is adopted for the design of the controller. Active disturbance rejection control is composed of a tracking differentiator, an extended state observer, and a nonlinear state error feedback. The proposed controller replaces the conventional tracking differentiator with a third-order differentiator. The new tracking differentiator provides higher tracking precision and smoother transient process. The external disturbances and model uncertainties are observed by the extended state observer and compensated in the controller design, subsequently. Comparisons with technologies frequently used in the trajectory tracking are made through numerical simulation. The comparisons validate that the proposed controller provides satisfying performance and robustness in the presence of model uncertainty and external disturbance.

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Flight Control Testing for the Development of Stratospheric Platform Airships

Cited by 12 publications

References 0 publications

Planar path following nonlinear controller design for an autonomous airship

Planar path following nonlinear controller design for an autonomous airship

Optimal design and experiment of propellers for high altitude airship

Spatial trajectory tracking control for unmanned airships based on active disturbance rejection control

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