Analysis and Control of a Magnetorheological Landing Gear System for a Helicopter

Choi, Young-Tai; Robinson, R. C.; Hu, Wei; Wereley, Norman M.; Birchette, Terence S.; Bolukbasi, Akif O.; Woodhouse, Jin

doi:10.4050/jahs.61.032006

Cited by 46 publications

(47 citation statements)

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“…First, all strings in the population are subsequently simulated with the landing gear model. Next, the fitness of each string is calculated following Equation (11). The top ten strings, which claim the highest fitness values, are subsequently chosen as potential parents.…”

Section: Genetic Algorithmmentioning

confidence: 99%

“…Fu Li et al [10] examined a buffer control algorithm based on model predictive control. Young-Tai Choi et al [11] developed a design analysis and control of adaptive MR landing gear dampers to enable adaptive shock mitigation in a lightweight helicopter. Ji-Young Yoon et al [12] designed a new control logic to improve the performance of an aircraft landing gear with an MR damper at touchdown.…”

Section: Introductionmentioning

confidence: 99%

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Intelligent Control Based on a Neural Network for Aircraft Landing Gear with a Magnetorheological Damper in Different Landing Scenarios

2020

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A typical oleo-pneumatic shock-absorbing strut (classic traditional passive damper) in aircraft landing gear has a metering pin extending through the orifice, which can vary the orifice area with the compression and extension of the damper strut. Because the metering pin is designed in a single landing condition, the traditional passive damper cannot adjust its damping force in multiple landing conditions. Magnetorheological (MR) dampers have been receiving significant attention as an alternative to traditional passive dampers. An MR damper, which is a typical semi-active suspension system, can control the damping force created by MR fluid under the magnetic field. Thus, it can be controlled by electric current. This paper adopts a neural network controller trained by two different methods, which are genetic algorithm and policy gradient estimation, for aircraft landing gear with an MR damper that considers different landing scenarios. The controller learns from a large number of trials, and accordingly, the main advantage is that it runs autonomously without requiring system knowledge. Moreover, comparative numerical simulations are executed with a passive damper and adaptive hybrid controller under various aircraft masses and sink speeds for verifying the effectiveness of the proposed controller. The main simulation results show that the proposed controller exhibits comparable performance to the adaptive hybrid controller without any needs for the online estimation of landing conditions.

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Section: Genetic Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intelligent Control Based on a Neural Network for Aircraft Landing Gear with a Magnetorheological Damper in Different Landing Scenarios

2020

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“…The performance of the controller was verified by numerical simulations with varying aircraft mass and sink speed. Young-Tai Choi et al [12] proposed a bang-bang type and a continuous type current controller to achieve a desired constant damper force over a range of sink speeds. The other approach is to deal with uncertainties and disturbances in the MR damper.…”

Section: Introductionmentioning

confidence: 99%

Robust Adaptive Control for an Aircraft Landing Gear Equipped with a Magnetorheological Damper

2020

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A landing gear of an aircraft is required to function at touchdown in different landing scenarios with parametric uncertainties. A typical passive damper in a landing gear has limited performance in differing landing scenarios, which can be overcome with magnetorheological (MR) dampers. An MR damper is a semi-active system that can adjust damping force by changing the amount of electric current applied to it. This paper proposes a new robust controller based on model reference sliding mode control and adaptive hybrid control to improve the efficiency of absorbing landing impact energy, not only considering the variables of aircraft weight and sink speed but also managing uncertainties, such as ambient temperature and passive damping coefficient. To verify the effectiveness of the proposed controller, comparative numerical simulations were performed with a passive damper, a skyhook controller, and the proposed controller under various landing scenarios. The simulation results show that the proposed controller improves the total energy absorber efficiency by up to 10% higher than that of the skyhook controller. In addition, the proposed controller is demonstrated to have better adaptability and robustness than the other control algorithms in the differing landing scenarios and parametric uncertainties.

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“…Because the magnetorheological (MR) absorber has an adjustable output damping force, has a simple structure, is easy to control, and has a rapid response, many scholars have tried to apply it to the shock absorption applications, such as helicopter landing gears (Choi et al, 2016;Powell et al, 2016;Han et al, 2018;Saleh et al, 2019), seat suspensions (Yu et al, 2009;Sun et al, 2017;Bai and Yang, 2019), and artillery recoil systems (Zhang et al, 2019). Ahmadian's research team is one of the pioneers in introducing the MR absorbers into the artillery recoil systems (Ahmadian and Poynor, 2001), designing the first-generation MR absorber for the weapon recoil system and carrying out field testing on the single-shot 50 caliber BMG rifle.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Analysis of Magnetorheological Absorber in Recoil Systems: Fixed and Field Artillery

Ouyang

Zhao

et al. 2020

Front. Mater.

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Magnetorheological (MR) absorbers in the artillery recoil systems are usually used to dissipate the impact energy as much as possible and reduce the recoil force transmitted to the artillery carriage, while the firing stability of artillery during the buffer process is rarely considered. In this paper, we analyzed the firing stability characteristics of the fixed artillery and the field artillery systems and established corresponding mechanical models. Then, we proposed the ideal recoil F-v curves of these two kinds of artillery, respectively. The "platform effect" of recoil curve was taken as the recoil force control target of the fixed artillery, while based on the firing stability, the linear segmented recoil curve was drawn up as the ideal recoil buffer control target of the field artillery. To verify the feasibility and controllability of the designed multi-stage MR absorber in two kinds of recoil buffer system, the impact tests were conducted under different current loadings. The test results show that the designed MR absorber can realize different buffer control effects by changing the input current, but the ideal "platform effect" recoil curve of the fixed artillery cannot be completely realized due to small controllable damping force output. In the field artillery recoil system, the MR absorber can realize ideal recoil buffer control in the range of 0 •-25 • firing angles.

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Analysis and Control of a Magnetorheological Landing Gear System for a Helicopter

Cited by 46 publications

References 0 publications

Intelligent Control Based on a Neural Network for Aircraft Landing Gear with a Magnetorheological Damper in Different Landing Scenarios

Intelligent Control Based on a Neural Network for Aircraft Landing Gear with a Magnetorheological Damper in Different Landing Scenarios

Robust Adaptive Control for an Aircraft Landing Gear Equipped with a Magnetorheological Damper

Feasibility Analysis of Magnetorheological Absorber in Recoil Systems: Fixed and Field Artillery

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