Model-free control for stratospheric airship based on reinforcement learning

Nie, Chunyu; Zhu, Ming; Zheng, Zewei; Wu, Zhe

doi:10.1109/chicc.2016.7555054

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…Airship model can be represented in nonlinear state space form consisting of twelve state elements as given in (7). This formulation is suitable for estimator design.…”

Section: Nonlinear State-space Representationmentioning

confidence: 99%

“…For airship state estimation, the state vector comprises of 12 state elements that have modelling equation given in (7). However, the system is extended by incorporating process noise and measurement noise.…”

Section: Airship State Estimationmentioning

confidence: 99%

“…For airship autonomous control, many control methods have been proposed in the literature for example error-based controllers [2], model based optimal controllers [3], model based nonlinear controllers [4][5][6] and intelligent controllers [7]. These controllers rely on sensor measurements as a feedback and some of them require an accurate model information.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of airship states and model uncertainties using nonlinear estimators

Wasim,

Ali,

Afzal Awan

et al. 2024

Mehran Univ. res. j. eng. technol.

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This Airships are lighter than air vehicles and due to their growing number of applications, they are becoming attractive for the research community. Most of the applications require an airship autonomous flight controller which needs an accurate model and state information. Usually, airship states are affected by noise and states information can be lost in the case of sensor's faults, while airship model is affected by model inaccuracies and model uncertainties. This paper presents the application of nonlinear and Bayesian estimators for estimating the states and model uncertainties of neutrally buoyant airship. It is considered that minimum sensor measurements are available, and data is corrupted with process and measurement noise. A novel lumped model uncertainty estimation approach is formulated where airship model is augmented with six extra state variables capturing the model uncertainty of the airship. The designed estimator estimates the airship model uncertainty along with its states. Nonlinear estimators, Extended Kalman Filter and Unscented Kalman Filter are designed for estimating airship attitude, linear velocities, angular velocities and model uncertainties. While Particle filter is designed for the estimation of airship attitude, linear velocities and angular velocities. Simulations have been performed using nonlinear 6-DOF simulation model of experimental airship for assessing the estimator performances. 1−𝜎 uncertainty bound and error analysis have been performed for the validation. A comparative study of the estimator's performances is also carried out.

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“…Airship model can be represented in nonlinear state space form consisting of twelve state elements as given in (7). This formulation is suitable for estimator design.…”

Section: Nonlinear State-space Representationmentioning

confidence: 99%

Section: Airship State Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Estimation of airship states and model uncertainties using nonlinear estimators

Wasim,

Ali,

Afzal Awan

et al. 2024

Mehran Univ. res. j. eng. technol.

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“…And most of them were too small for the wind tunnel test platform, for example, the scaled model for 20 km altitude whose diameter is 0.22 m at an altitude of 0.3 km, whose thrust and torque would be too small compared to the sensor range. Previous research studies [22][23][24][25][26][27] showed that scaled model wind tunnel tests are still feasible with two similarities. To balance experiment accuracy and propeller similarity, we removed Reynolds number similarity so that the scaled model diameter is fixed as 1 m for all wind tunnel tests.…”

Section: Experiments and Validation Of Propeller Surrogate Model Expe...mentioning

confidence: 99%

High-altitude airship variable-pitch propeller performance analysis at multiple altitudes

Dongchen

Song

Jiao

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part G:

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To achieve better propulsion performance for high-altitude airships, this paper proposes a variable-pitch propeller design and performance analysis. Propeller surrogate models were constructed based on an in-house fluid–structure solver and validated by a wind tunnel experiment. Based on the surrogate model, this paper studied propeller performance under the common influence of propeller pitch variation and rotational speed, and proved the positive effect of the variable-pitch propeller on maintaining relatively high efficiency in large rotational speed range. This paper compared the performance of variable-pitch propellers and fixed-pitch propellers under the constraints of the motor. The results show that introducing variable-pitch propellers to high-altitude airships can significantly improve propeller performance at multiple altitudes and laminar wind speeds. And the potential of airship weight reduction brought by the variable-pitch technique is discussed as well.

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