IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v11y2023i17p3794-d1232510.html
   My bibliography  Save this article

Attitude Control of UAVs with Search Optimization and Disturbance Rejection Strategies

Author

Listed:
  • Wensheng Li

    (China Southern Power Grid Technology Co., Ltd., Guangzhou 510080, China
    Guangdong Engineering Technology Research Center of Special Robots for Special Industries, Guangzhou 510080, China)

  • Fanke Yang

    (Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China)

  • Liqiang Zhong

    (China Southern Power Grid Technology Co., Ltd., Guangzhou 510080, China
    Guangdong Engineering Technology Research Center of Special Robots for Special Industries, Guangzhou 510080, China)

  • Hao Wu

    (China Southern Power Grid Technology Co., Ltd., Guangzhou 510080, China
    Guangdong Engineering Technology Research Center of Special Robots for Special Industries, Guangzhou 510080, China)

  • Xiangyuan Jiang

    (Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China)

  • Andrei V. Chukalin

    (Laboratory of Interdisciplinary Problems in Energy Production, Ulyanovsk State Technical University, Ulyanovsk 432027, Russia)

Abstract

This study aims to achieve rapid and stable control of quadrotor unmanned aerial vehicles’ (UAVs) attitude by using an Active Disturbance Rejection Control (ADRC) controller. Addressing the challenge of numerous and complex ADRC parameters, optimization algorithms are employed for parameter tuning. This paper draws on the group mechanism of the Ant Colony Optimization (ACO) algorithm and innovatively introduces population search into the Beetle Antennae Search (BAS) algorithm. The refined algorithm is then applied to tune the ADRC parameters, reducing complexity and human intervention while enhancing intelligence and efficiency. The advanced optimization algorithm exhibits an exceptional global optimization capacity, convergence speed, and stability. Ultimately, flight simulation and experimental results suggest that the optimized ADRC controller demonstrates superior control and antidisturbance capabilities.

Suggested Citation

  • Wensheng Li & Fanke Yang & Liqiang Zhong & Hao Wu & Xiangyuan Jiang & Andrei V. Chukalin, 2023. "Attitude Control of UAVs with Search Optimization and Disturbance Rejection Strategies," Mathematics, MDPI, vol. 11(17), pages 1-16, September.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:17:p:3794-:d:1232510
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/11/17/3794/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/11/17/3794/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sun, Li & Jin, Yuhui & You, Fengqi, 2020. "Active disturbance rejection temperature control of open-cathode proton exchange membrane fuel cell," Applied Energy, Elsevier, vol. 261(C).
    2. Alphonsus, Ephrem Ryan & Abdullah, Mohammad Omar, 2016. "A review on the applications of programmable logic controllers (PLCs)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1185-1205.
    3. Yudong Zhang & Shuihua Wang & Genlin Ji, 2015. "A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-38, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lingdi Tang & Wei Wang & Chenjun Zhang & Zanya Wang & Zeyu Ge & Shouqi Yuan, 2024. "Linear Active Disturbance Rejection Control System for the Travel Speed of an Electric Reel Sprinkling Irrigation Machine," Agriculture, MDPI, vol. 14(9), pages 1-24, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sun, Li & Sun, Wen & You, Fengqi, 2020. "Core temperature modelling and monitoring of lithium-ion battery in the presence of sensor bias," Applied Energy, Elsevier, vol. 271(C).
    2. Zichen Lu & Ying Yan, 2024. "Temperature Control of Fuel Cell Based on PEI-DDPG," Energies, MDPI, vol. 17(7), pages 1-19, April.
    3. Gengjin Shi & Zhenlong Wu & Jian Guo & Donghai Li & Yanjun Ding, 2020. "Superheated Steam Temperature Control Based on a Hybrid Active Disturbance Rejection Control," Energies, MDPI, vol. 13(7), pages 1-26, April.
    4. Mariusz Korzeń & Maciej Kruszyna, 2023. "Modified Ant Colony Optimization as a Means for Evaluating the Variants of the City Railway Underground Section," IJERPH, MDPI, vol. 20(6), pages 1-15, March.
    5. Frédérique Bec & Heino Bohn Nielsen & Sarra Saïdi, 2020. "Mixed Causal–Noncausal Autoregressions: Bimodality Issues in Estimation and Unit Root Testing," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(6), pages 1413-1428, December.
    6. Mohammad Soleimani Amiri & Rizauddin Ramli & Ahmad Barari, 2023. "Optimally Initialized Model Reference Adaptive Controller of Wearable Lower Limb Rehabilitation Exoskeleton," Mathematics, MDPI, vol. 11(7), pages 1-14, March.
    7. Song, Dafeng & Wu, Qingtao & Zeng, Xiaohua & Zhang, Xuanming & Qian, Qifeng & Yang, DongPo, 2024. "Feedback-linearization decoupling based coordinated control of air supply and thermal management for vehicular fuel cell system," Energy, Elsevier, vol. 305(C).
    8. Sun, Li & Li, Guanru & You, Fengqi, 2020. "Combined internal resistance and state-of-charge estimation of lithium-ion battery based on extended state observer," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    9. Byung-Ki Jeon & Eui-Jong Kim, 2021. "LSTM-Based Model Predictive Control for Optimal Temperature Set-Point Planning," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    10. Cui, Huixia & Chen, Xiangyong & Guo, Ming & Jiao, Yang & Cao, Jinde & Qiu, Jianlong, 2023. "A distribution center location optimization model based on minimizing operating costs under uncertain demand with logistics node capacity scalability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
    11. Yubin Cheon & Jaehyun Jung & Daeyeon Ki & Salman Khalid & Heung Soo Kim, 2024. "Optimization of MOSFET Copper Clip to Enhance Thermal Management Using Kriging Surrogate Model and Genetic Algorithm," Mathematics, MDPI, vol. 12(18), pages 1-21, September.
    12. Grzegorz Sroka & Mariusz Oszust, 2021. "Approximation of the Constant in a Markov-Type Inequality on a Simplex Using Meta-Heuristics," Mathematics, MDPI, vol. 9(3), pages 1-10, January.
    13. Yurdagül Benteşen Yakut, 2024. "Optimization of Proportional–Integral (PI) and Fractional-Order Proportional–Integral (FOPI) Parameters Using Particle Swarm Optimization/Genetic Algorithm (PSO/GA) in a DC/DC Converter for Improving ," Energies, MDPI, vol. 17(4), pages 1-19, February.
    14. Zhiming Zhang & Hui Ren & Song Hu & Xinfeng Zhang & Tong Zhang & Jiaming Zhou & Shangfeng Jiang & Tao Yu & Bo Deng, 2022. "Arrangement of Belleville Springs on Endplates Combined with Optimal Cross-Sectional Shape in PEMFC Stack Using Equivalent Beam Modeling and FEA," Sustainability, MDPI, vol. 14(23), pages 1-13, November.
    15. Genbao Liu & Tengfei Zhao & Hong Yan & Han Wu & Fuming Wang, 2022. "Evaluation of Urban Green Building Design Schemes to Achieve Sustainability Based on the Projection Pursuit Model Optimized by the Atomic Orbital Search," Sustainability, MDPI, vol. 14(17), pages 1-23, September.
    16. Qian, Jing & Sun, Xiangyu & Zhong, Xiaohui & Zeng, Jiajun & Xu, Fei & Zhou, Teng & Shi, Kezhong & Li, Qingan, 2024. "Multi-objective optimization design of the wind-to-heat system blades based on the Particle Swarm Optimization algorithm," Applied Energy, Elsevier, vol. 355(C).
    17. Perera, A.T.D. & Soga, Kenichi & Xu, Yujie & Nico, Peter S. & Hong, Tianzhen, 2023. "Enhancing flexibility for climate change using seasonal energy storage (aquifer thermal energy storage) in distributed energy systems," Applied Energy, Elsevier, vol. 340(C).
    18. Zhao, Chen & Wang, Fei & Wu, Xiaoyu, 2024. "Analysis and review on air-cooled open cathode proton exchange membrane fuel cells: Bibliometric, environmental adaptation and prospect," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    19. Fahad Ali Khan & Nadeem Shaukat & Ajmal Shah & Abrar Hashmi & Muhammad Atiq Ur Rehman Tariq, 2024. "Design Optimization of Marine Propeller Using Elitist Particle Swarm Intelligence," SN Operations Research Forum, Springer, vol. 5(4), pages 1-28, December.
    20. Zaiyu Gu & Guojiang Xiong & Xiaofan Fu, 2023. "Parameter Extraction of Solar Photovoltaic Cell and Module Models with Metaheuristic Algorithms: A Review," Sustainability, MDPI, vol. 15(4), pages 1-45, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:11:y:2023:i:17:p:3794-:d:1232510. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.