Fuzzy Adaptive Fault-Tolerant Output Feedback Attitude-Tracking Control of Rigid Spacecraft

Abstract

This paper proposes a stable adaptive fuzzy faulttolerant attitude-tracking controller for a rigid spacecraft in the presence of unavailable velocities, external disturbance, actuator faults, and actuator saturation. Fuzzy logic systems are applied to approximate the unknown nonlinear function vector, and a fuzzy adaptive observer is designed to estimate the unmeasured velocity of the rigid body. By using the backstepping technique, a novel adaptive fuzzy attitude-tracking fault-tolerant control scheme is developed. It has been testified that this control approach guarantees that all signals of the rigid spacecraft are bounded and the tracking error between the system output and the reference signal converges to a small neighborhood of zero. Simulation examples with constant faults and time-variant faults are provided to show the fault-tolerant effectiveness of the control method.Index Terms-Actuator faults, actuator saturation, adaptive fuzzy control, attitude tracking, fault-tolerant control (FTC).

Adaptive Finite‐Time Command Filtered Fault‐Tolerant Control for Uncertain Spacecraft with Prescribed Performance

“…Considering the attitude stabilization problem for a rigid spacecraft, the modified Rodrigues parameter (MRP) based spacecraft system is described as [44]…”

Neural Network-Based Adaptive Control for Spacecraft Under Actuator Failures and Input Saturations

“…However, by applying these approaches, only local problems around an equilibrium point can be studied. Different from the linearization based approaches, to handle the unknown parameters and nonlinearity, the intelligent FTC methods have been proposed, e.g., the neural network FTC approach [6] and the fuzzy FTC approach [27]. However, these approaches lose the finite-time convergence property.…”

“…Second, some of the existing finite-time FTC results and intelligent FTC results do not consider actuator saturation constraints although every actuator of a spacecraft has a saturation constraint in practice. For example, methods not considering actuator saturation constraints are the finitetime FTC approaches proposed in [14], [16], [23], [24], [25], [26] and the intelligent FTC method developed in [27]. In contrast, we also aim to design an algorithm that can handle actuator saturation constraints.…”

BFA fuzzy logic based control allocation for fault-tolerant control of multirotor UAVs

“…(16) A stable adaptive fuzzy fault-tolerant attitude-tracking controller was proposed in another work for a rigid spacecraft where fuzzy logic was applied to approximate the unknown nonlinear function of the system. (17) The main contribution of this paper resides in the proposition of a novel fuzzy logicbased control allocation for multirotor system recovery under actuators failures. The fuzzy logic multiplexing gains are tuned using the Bacterial Foraging Algorithm (BFA) method (18) , a nature inspired optimisation algorithm that belongs to the field of Bacteria Optimisation Algorithms and Swarm Optimisation and, more broadly, to the fields of computational intelligence and metaheuristics.…”