Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.5
3.4
Journals
Biomimetics
Special Issues
Bio-Inspired Design and Control of Unmanned Aerial Vehicles (UAVs): 2nd...
share announcement

Bio-Inspired Design and Control of Unmanned Aerial Vehicles (UAVs): 2nd Edition

A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Biomimetic Design, Constructions and Devices".

Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 3522

Special Issue Editor

Prof. Dr. Yaoming Zhou

E-Mail Website
Guest Editor
School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
Interests: intelligent design of UAV; collaborative decision-making and control of UAV; UAV path planning; intelligent evaluation and demonstration of aircraft
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, entitled "Bio-Inspired Design and Control of Unmanned Aerial Vehicles (UAVs)", addresses a research field in robotics and automation that has become invariably significant in recent years. Leveraging nature's ingenious designs, inspiration is drawn in order to enhance the capabilities of UAVs and push the boundaries of not only flight dynamics but also of autonomy, resilience, and versatility.

As modern biological research reveals more about the intricate mechanisms of living creatures, these findings provide a wealth of new opportunities that are ripe for use in Unmanned Aerial Vehicles. This can be seen in the structural configuration of UAVs inspired by the wings of birds or insects, the sensory capabilities of UAVs that mimic the vision or echolocation systems of animals, or even in the control algorithms of UAVs, based on brain-like decision-making processes. More specifically, major developments are occurring in the design of flapping wing machines modeled on the physical attributes of bats and birds, the design of swarm control algorithms modeled on biological swarms, the design of artificial neural network control methods modeled on human brain computation, and the design of evolutionary optimization methods modeled on the laws of evolution in nature.

Naturally evolved systems and organisms have provided numerous breakthroughs in the field of UAV design, giving birth to bio-inspired drones that are capable of incredible flight performance, robust navigation, and strikingly intelligent behavior. This Special Issue welcomes the contributions of scholars to share their latest research outputs in the bio-inspired design and control of UAVs.

Prof. Dr. Yaoming Zhou
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomimetics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • bio-inspired design of UAV
  • bio-inspired flight control
  • bio-inspired sensory and navigation systems
  • bio-inspired decision making
  • artificial neural network-based design and control for UAV
  • biological-cluster-based design and control for UAV

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

27 pages, 7867 KiB  
Article
Path Planning of an Unmanned Aerial Vehicle Based on a Multi-Strategy Improved Pelican Optimization Algorithm
by Shaoming Qiu, Jikun Dai and Dongsheng Zhao
Biomimetics 2024, 9(10), 647; https://doi.org/10.3390/biomimetics9100647 - 21 Oct 2024
Viewed by 919
Abstract
The UAV path planning algorithm has many applications in urban environments, where an effective algorithm can enhance the efficiency of UAV tasks. The main concept of UAV path planning is to find the optimal flight path while avoiding collisions. This paper transforms the [...] Read more.
The UAV path planning algorithm has many applications in urban environments, where an effective algorithm can enhance the efficiency of UAV tasks. The main concept of UAV path planning is to find the optimal flight path while avoiding collisions. This paper transforms the path planning problem into a multi-constraint optimization problem by considering three costs: path length, turning angle, and collision avoidance. A multi-strategy improved POA algorithm (IPOA) is proposed to address this. Specifically, by incorporating the iterative chaotic mapping method with refracted reverse learning strategy, nonlinear inertia weight factors, the Levy flight mechanism, and adaptive t-distribution variation, the convergence accuracy and speed of the POA algorithm are enhanced. In the CEC2022 test functions, IPOA outperformed other algorithms in 69.4% of cases. In the real map simulation experiment, compared to POA, the path length, turning angle, distance to obstacles, and flight time improved by 8.44%, 5.82%, 4.07%, and 9.36%, respectively. Similarly, compared to MPOA, the improvements were 4.09%, 0.76%, 1.85%, and 4.21%, respectively. Full article
(This article belongs to the Special Issue Bio-Inspired Design and Control of Unmanned Aerial Vehicles (UAVs): 2nd Edition)
►▼ Show Figures

Figure 1

17 pages, 7504 KiB  
Article
A Novel Aerial-Aquatic Unmanned Vehicle Using Flapping Wings for Underwater Propulsion
by Jiacheng He, Yingjie Zhang, Junjun Feng, Shisheng Li, Yiheng Yuan, Pinghui Wang and Song Han
Biomimetics 2024, 9(10), 581; https://doi.org/10.3390/biomimetics9100581 - 25 Sep 2024
Viewed by 869
Abstract
Aerial-aquatic unmanned vehicles are a combination of unmanned aerial vehicles and unmanned submersibles, capable of conducting patrols in both the air and underwater domains. This article introduces a novel aerial-aquatic unmanned vehicle that integrates fixed-wing configuration and flapping-wing configuration. In order to improve [...] Read more.
Aerial-aquatic unmanned vehicles are a combination of unmanned aerial vehicles and unmanned submersibles, capable of conducting patrols in both the air and underwater domains. This article introduces a novel aerial-aquatic unmanned vehicle that integrates fixed-wing configuration and flapping-wing configuration. In order to improve the low efficiency of the classic diagonal motion trajectory, this paper proposed an improved diagonal motion trajectory based on joint optimization of the stroke angle and angle of attack curve. The proposed method has been verified through simulations and experiments. A prototype was developed and experiments were completed, both indoors and outdoors, wherein the system’s transmedium transition capability and flapping propulsion performance were comprehensively validated. Additionally, utilizing flapping propulsion, an average underwater propulsion speed of 0.92 m/s was achieved. Full article
(This article belongs to the Special Issue Bio-Inspired Design and Control of Unmanned Aerial Vehicles (UAVs): 2nd Edition)
►▼ Show Figures

Figure 1

22 pages, 13345 KiB  
Article
Aerodynamic Investigation on a Coaxial-Rotors Unmanned Aerial Vehicle of Bionic Chinese Parasol Seed
by Wenbiao Gan, Yunpeng Wang, Hongbo Wang and Junjie Zhuang
Biomimetics 2024, 9(7), 403; https://doi.org/10.3390/biomimetics9070403 - 2 Jul 2024
Viewed by 1123
Abstract
Aerodynamic investigation of a bionic coaxial-rotors unmanned aerial vehicle (UAV) is performed. According to Chinese parasol seed features and flight requirements, the bionic conceptual design of a coaxial-rotors UAV is described. A solution procedure for the numerical simulation method, based on a multi-reference [...] Read more.
Aerodynamic investigation of a bionic coaxial-rotors unmanned aerial vehicle (UAV) is performed. According to Chinese parasol seed features and flight requirements, the bionic conceptual design of a coaxial-rotors UAV is described. A solution procedure for the numerical simulation method, based on a multi-reference frame (MRF) model, is expressed, and a verification study is presented using the typical case. The aerodynamic design is conducted for airfoil, blade, and coaxial-rotors interference. The aerodynamic performance of the coaxial rotors is investigated by numerical simulation analysis. The rotor/motor integrated experiment verification is conducted to assess the performance of the coaxial-rotors UAV. The results indicate that the UAV has excellent aerodynamic performance and bionic configuration, allowing it to adapt to task requirements. The bionic UAV has a good cruise power load reach of 8.36 kg/kw, and the cruise flying thrust force is not less than 78 N at coaxial-rotor and rotor-balloon distance ratios of 0.39 and 1.12, respectively. It has the “blocks stability phenomenon” formed by the rotor downwash speed decreases and the balloon’s additional negative pressure. The present method and the bionic configuration provide a feasible design and analysis strategy for coaxial-rotors UAVs. Full article
(This article belongs to the Special Issue Bio-Inspired Design and Control of Unmanned Aerial Vehicles (UAVs): 2nd Edition)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop