A Practical Performance Evaluation Method for Electric Multicopters

Shi, Dongjie; Dai, Xunhua; Zhang, Xiaowei; Quan, Quan

doi:10.1109/tmech.2017.2675913

Cited by 92 publications

(76 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Any measured curves (e.g., movement trajectories, motor throttle-speed curves, and air resistance curves) can be applied to assess the time-domain credibility η t of the simulation systems. To reduce the calculation error, curve smoothing methods should be applied to (6) when the obtained curves are affected by disturbances or measuring noises. Besides, the time-domain index η t is not suitable for assessing stochastic curves (e.g., noise signals and vibration signals), which can be assessed by the performance assessment index η p with statistical parameters (e.g., mean value and variance).…”

Section: B Time-domain Credibilitymentioning

confidence: 99%

“…Therefore, simulation techniques, especially hardware-in-the-loop (HIL) simulations, are more and more widely used in the development and testing phases of complex electronic control systems, such as power systems [1], [2], aircraft systems [3], automotive systems [4], and robotic systems [5]. Although experiments are considered to be more trusted than simulation tests, for many highcomplex electronic control systems (e.g., autopilot systems of unmanned aircraft), comprehensive experimental testing is usually high-cost, inefficient, dangerous and regulatory restricted [6]. With the ever-increasing safety requirements of electronic control systems, the experimental testing methods become increasingly inefficient in revealing potential safety issues and covering critical test cases.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation Credibility Assessment Methodology With FPGA-based Hardware-in-the-Loop Platform

Dai

Quan

et al. 2021

IEEE Trans. Ind. Electron.

Self Cite

View full text Add to dashboard Cite

Electronic control systems are becoming more and more complicated, which makes it difficult to test them sufficiently only through experiments. Simulation is an efficient way in the development and testing of complex electronic systems, but the simulation results are always doubtful by people due to the lack of credible simulation platforms and assessment methods. This paper proposes a credible simulation platform based on realtime FPGA-based hardware-in-the-loop (HIL) simulation, and then an assessment method is proposed to quantitatively assess its simulation credibility. By using the FPGA to simulate all sensor chips, the simulation platform can ensure that the tested electronic system maintains the same hardware and software operating environment in both simulations and experiments, which makes it possible to perform the same tests in the simulation platform and the real experiment to compare and analyze the simulation errors. Then, the testing methods and assessment indices are proposed to assess the simulation platform from various perspectives, such as performance, time-domain response, and frequency-domain response. These indices are all normalized to the same scale (from 0 to 1) and mapped to a uniform assessment criterion, which makes it convenient to compare and synthesize different assessment indices. Finally, an overall assessment index is proposed by combining all assessment indices obtained from different tests to assess the simulation credibility of the whole simulation platform. The simulation platform and the proposed assessment method are applied to a multicopter system, where the effectiveness and practicability are verified by simulations and experiments.

show abstract

Section: B Time-domain Credibilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation Credibility Assessment Methodology With FPGA-based Hardware-in-the-Loop Platform

Dai

Quan

et al. 2021

IEEE Trans. Ind. Electron.

Self Cite

View full text Add to dashboard Cite

show abstract

“…This paper only focuses on studying the design optimization of propulsion systems with assuming T hover and T max are known parameters. Although the propulsion system parameters T hover and T max are usually not directly available, according to our previous research [6], T hover , T max can be obtained by giving the aerodynamic coefficients, airframe parameters and the kinematic performance requirements. For example, for common multicopters, the hovering thrust T hover can be obtained by the total weight of the multicopter G total (unit: N) as…”

Section: A Design Requirements Of Propulsion Systemsmentioning

confidence: 99%

“…According to [6], t hover and T max can be estimated by parameters n p , T hover ,Θ p , Θ m , Θ e , Θ b . Therefore, two equality constraints can be obtained according to the design requirements in Section II-A.…”

Section: Optimization Constraints 1) Requirement Constraintsmentioning

confidence: 99%

An Analytical Design-Optimization Method for Electric Propulsion Systems of Multicopter UAVs With Desired Hovering Endurance

Dai

Quan

Ren

et al. 2019

IEEE/ASME Trans. Mechatron.

Self Cite

View full text Add to dashboard Cite

Multicopters are becoming increasingly important in both civil and military fields. Currently, most multicopter propulsion systems are designed by experience and trial-anderror experiments, which are costly and ineffective. This paper proposes a simple and practical method to help designers find the optimal propulsion system according to the given design requirements. First, the modeling methods for four basic components of the propulsion system including propellers, motors, electric speed controls, and batteries are studied respectively. Secondly, the whole optimization design problem is simplified and decoupled into several sub-problems. By solving these subproblems, the optimal parameters of each component can be obtained respectively. Finally, based on the obtained optimal component parameters, the optimal product of each component can be quickly located and determined from the corresponding database. Experiments and statistical analyses demonstrate the effectiveness of the proposed method. The proposed method is fast and practical that it has been successfully applied to a web server to provide online optimization design service for users.

show abstract

“…The performance of a MUAV relates to the configuration of each device, which determines characteristics such as maximum flight height, top speed, time of autonomy, maximum capacity payload, stability, maneuverability, among others. Within these configurations, we can find elements as the number and type of motors and propellers, which sets up the maximum thrust of the propulsion systems; the flight controller that includes sensors, electronics, and control algorithms; the frame, which gives mechanical support for all systems, and one critical factor is the battery used, which establishes the autonomy time of the devices (Shi et al 2017).…”

Section: Muav Performancementioning

confidence: 99%

Implementation of MUAV as reference source for GLAO systems

García

Cuevas

2019

Exp Astron

View full text Add to dashboard Cite

We propose an alternative method to generate an artificial reference source for a Ground Layer Adaptive Optics system airborne on a Multirotor Unmanned Aerial Vehicle. Turbulence profiles from the Ground Layer at the National Astronomical Observatory in San Pedro Martir were analyzed to establish the requirements in luminosity, altitude, and flight stability of an artificial source. We found the source must be at least 800 m above the observatory's surface and follow a fixed trajectory to emulate the apparent movement of the stars with a stability of 1.54 cm in time intervals smaller than 18 ms. We establish some commercial and customized MUAVs can nearly accomplish this task.

show abstract

A Practical Performance Evaluation Method for Electric Multicopters

Cited by 92 publications

References 19 publications

Simulation Credibility Assessment Methodology With FPGA-based Hardware-in-the-Loop Platform

Simulation Credibility Assessment Methodology With FPGA-based Hardware-in-the-Loop Platform

An Analytical Design-Optimization Method for Electric Propulsion Systems of Multicopter UAVs With Desired Hovering Endurance

Implementation of MUAV as reference source for GLAO systems

Contact Info

Product

Resources

About