Adaptive Neural Fault-Tolerant Control for the Yaw Control of UAV Helicopters with Input Saturation and Full-State Constraints
In this paper, an adaptive neural fault-tolerant tracking control scheme is presented for the yaw control of an unmanned-aerial-vehicle helicopter. The scheme incorporates a non-affine nonlinear system that manages actuator faults, input saturation, full-state constraints, and external disturbances....
Main Authors: | Qiang Zhang, Xia Chen, Dezhi Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-02-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/4/1404 |
Similar Items
-
Tracking Control With Input Saturation and Full-State Constraints for Surface Vessels
by: Yuanhui Wang, et al.
Published: (2019-01-01) -
Observer-Based Adaptive Neural Control for Non-Triangular Form Systems With Input Saturation and Full State Constraints
by: Rui Zhang, et al.
Published: (2019-01-01) -
Distributed Adaptive Control for UAV Formation With Input Saturation and Actuator Fault
by: Zhong Zheng, et al.
Published: (2019-01-01) -
Adaptive Backstepping Control of Quadrotor UAVs with Output Constraints and Input Saturation
by: Jianming Li, et al.
Published: (2023-07-01) -
Adaptive Neural Control of a 2DOF Helicopter with Input Saturation and Time-Varying Output Constraint
by: Bing Wu, et al.
Published: (2022-11-01)