A Consumer Electronics-Enhanced UAV System for Agricultural Farm Tracking With Fuzzy SMO and Actuator Fault Detection Control Algorithms
Shenzhen University · China University of Mining and Technology · +4 more institutions
Abstract
The adoption of agricultural robots, or agrobots, has revolutionized modern farming operations, ranging from crop monitoring to automated harvesting, significantly boosting productivity. Motivated by the rapid advancements in agrobots and their integration into smart agricultural practices, this study proposes an autonomous trajectory tracking system for wheat farms using quadcopter UAVs. To address actuator fault detection, including stuck faults and partial loss of efficiency, a TSF-H∞-SMO (Takagi-Sugeno Fuzzy-based H∞ Sliding Mode Observer) fault detection framework is introduced. The approach initiates with the derivation of a TSF (Takagi-Sugeno Fuzzy) attitude control model that integrates an uncertainty…
Citation impact
- FWCI
- 42.52
- Percentile
- 100%
- References
- 48
Authors
6Topics & keywords
- Actuator
- Electronics
- Fault detection and isolation
- Fuzzy logic
- Computer science
- Fuzzy control system
- Fault (geology)
- Tracking (education)
- Zero hunger