Energy consumption comparison of static pitch propeller and variable pitch propeller using maximum thrust equation approach in small scale electric unmanned aerial vehicle

Stevenson, R. C.; Chandra, Christian; Christon, J.; Wiryanto, W.; Virginio, R; Adiprawita, Widyawardana

doi:10.1063/5.0002285

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…However, the adjustable-pitch propellers (APP) are superior to the VSP with respect of the distribution rationality of the attack angle, force and power [26], [27]. Stevenson et al [28] compared the energy consumption of VSP and APP for a small electric unmanned aerial vehicle, and the results indicated that the APP was proven to be more efficient than the VSP. Sheng and Sun [29], Gebauer et al [30], and Henderson and Papanikolopoulos [31] carried out research on control and optimization of adjustable-pitch MPS for electric multicopters aimming at minimizing power consumption.…”

Section: Introductionmentioning

confidence: 99%

Research on Integrated Optimization Design Method of High-Efficiency Motor Propeller System for UAVs With Multi-States

Duan

Wang²,

Wang

et al. 2020

IEEE Access

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With the popularity of electric multi-rotor unmanned aerial vehicles (EMRUAV), the problem of low efficiency of the motor propeller system (MPS) becomes serious especially for EMRUAVs which have multiple working states. To solve this problem, an integrated optimization design method for high-efficiency MPS is proposed using an improved parallel particle swarm optimization and differential evolution (PSODE) hybrid algorithm. First, the brushless motor as well as the variable-speed and the adjustable-pitch propellers is modelled. Then considering the characteristics of the motor and the propeller sufficiently, an integrated optimization method for variable-speed and adjustable-pitch MPS is proposed by utilizing the improved PSODE. Specially, the self-organizing feature map theory is added to substitute the traditional ''winner-take-all'' method in the interactive study of the improved PSODE. Next, the optimization of a small electric-powered tilt quad rotor (TQR) which has four states: hovering, cruising, transition and maximum speed is carried out. At last, the wind-tunnel experiments are implemented to verify the feasibility and effectiveness of the proposed optimization method. The results indicate that the adjustable-pitch MPS is more suitable for EMRUAVs which have multiple working states, and that the improved PSODE has faster convergence speed and better global search ability than other optimization methods.INDEX TERMS Electric aircraft, motor, propeller, integrated design, improved PSODE optimization, tilt quad rotor, wind tunnel experiments.

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Section: Introductionmentioning

confidence: 99%

Research on Integrated Optimization Design Method of High-Efficiency Motor Propeller System for UAVs With Multi-States

Duan

Wang²,

Wang

et al. 2020

IEEE Access

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Improvement of UAV thrust using the BSO algorithm-based ANFIS model

Konar,

Arık Hatipoğlu,

Akpınar

2024

Aeronaut. j.

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Unmanned aerial vehicles (UAVs), which are available in our lives in many areas today, bring with them new expectations and needs along with developing technology. In order to meet these expectations and needs, main subjects such as reducing energy consumption, increasing thrust and endurance, must be taken into account in UAV designs. In this study, Backtracking search optimisation (BSO) algorithm-based adaptive neuro-fuzzy inference system (ANFIS) model is proposed for the first time to improve UAV thrust. For this purpose, first, different batteries and propellers were tested on the thrust measuring device and a data set was obtained. Propeller diameter and pitch, current, voltage and the electronic speed controller (ESC) signal were selected as input, and UAV thrust was selected as output. ANFIS was used to relate input and output parameters that do not have a direct relationship between them. In order to determine the ANFIS parameters at the optimum value, ANFIS was trained with the obtained data set by using BSO algorithm. Then, the objective function based on the optimum ANFIS structure was integrated into BSO algorithm, and the input values that gave the optimum thrust were calculated using BSO algorithm. Simulation results, in which parameters such as engine, battery and propeller affecting the thrust are taken into account equally, emphasise that the proposed method can be used effectively in improving the UAV thrust. This hybrid method, consisting of ANFIS and BSO algorithm, can reduce the cost and time loss in UAV designs and allows many possibilities to be tested.

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Dynamic Evaluation of Electric Propulsion System Performance of Unmanned Aerial Vehicle (UAV)

Norhashim,

Kamal,

Sahwee

et al. 2023

TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)

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Energy consumption comparison of static pitch propeller and variable pitch propeller using maximum thrust equation approach in small scale electric unmanned aerial vehicle

Cited by 5 publications

References 6 publications

Research on Integrated Optimization Design Method of High-Efficiency Motor Propeller System for UAVs With Multi-States

Research on Integrated Optimization Design Method of High-Efficiency Motor Propeller System for UAVs With Multi-States

Improvement of UAV thrust using the BSO algorithm-based ANFIS model

Dynamic Evaluation of Electric Propulsion System Performance of Unmanned Aerial Vehicle (UAV)

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