An improved sliding mode control based on fuzzy logic for quadrotor unmanned aerial vehicles under unmatched uncertainty

Qingmei CAO; Ruiwen XIANG; Yonghong TAN; Weiqing SUN; Jiawei CHI; Xiaodong ZHOU; Lei YAO

doi:10.1631/FITEE.2500058

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An improved sliding mode control based on fuzzy logic for quadrotor unmanned aerial vehicles under unmatched uncertainty

Regular Papers | Updated：2025-11-18

- An improved sliding mode control based on fuzzy logic for quadrotor unmanned aerial vehicles under unmatched uncertainty
- 基于模糊逻辑改进的四旋翼无人机滑模控制方法及其在非匹配不确定性条件下的应用
- “In the field of UAV position control, a novel fuzzy sliding mode control strategy has been proposed. Expert designed an intelligent two-dimensional fuzzy controller based on traditional SMC to adjust parameters in real time, thereby adapting to the variable structure parameters of the system. This provides solutions to solve the problems of robustness and stability of position control for underactuated quadrotor UAVs in complex dynamic environments.”
- Frontiers of Information Technology & Electronic Engineering Vol. 26, Issue 10, Pages: 1942-1953(2025)
- Affiliations：
  
  1.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  2.College of Mechanical and Electronic Engineering, Shanghai Normal University, Shanghai 200234, China
  3.School of Information and Cyber Security, People's Public Security University of China, Beijing 100038, China
  4.Department of Informatization and Cyber Security, Shanghai Police College, Shanghai 200137, China
- Author bio：
  
  ‡ Corresponding author
  tany@shnu.edu.cn
  sunwq@usst.edu.cn
  zhouxdshpc@163.com
- Funds：
- DOI：10.1631/FITEE.2500058
  CLC： TP301
- Received：25 January 2025，
  
  Revised：2025-07-07，
  
  Published Online：06 November 2025，
  
  Published：2025-10
- Accepted：
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Qingmei CAO, Ruiwen XIANG, Yonghong TAN, et al. An improved sliding mode control based on fuzzy logic for quadrotor unmanned aerial vehicles under unmatched uncertainty[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1942-1953.
DOI：

Qingmei CAO, Ruiwen XIANG, Yonghong TAN, et al. An improved sliding mode control based on fuzzy logic for quadrotor unmanned aerial vehicles under unmatched uncertainty[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1942-1953. DOI： 10.1631/FITEE.2500058.

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An improved sliding mode control based on fuzzy logic for quadrotor unmanned aerial vehicles under unmatched uncertainty

DOI：10.1631/FITEE.2500058