Fault-Tolerant Control Allocation for Overactuated Nonlinear Systems
نویسندگان
چکیده
منابع مشابه
Adaptive Fault Tolerant Control Allocation Strategies for Autonomous Overactuated Vehicles
This paper presents a preliminary adaptive control allocation scheme for overactuated autonomous vehicles that is fault-tolerant with respect to actuator faults or loss of effectiveness. The main idea here is to use an ad-hoc online parameter estimator coupled with an allocation algorithm to perform on-line control reconfiguration. A simple algorithm is proposed for nonlinear discrete-time syst...
متن کاملNonlinear observer based sensor fault tolerant control for nonlinear systems
This paper deals with the problem of sensor fault tolerant control for Takagi-Sugeno nonlinear systems. Firstly, a residual generator is designed in order to detect and isolate sensor faults. Secondly, a nonlinear observer based controller, adopting the so-called parallel distributed compensation structure is designed. This controller is based on a weighted blending of the estimated states prov...
متن کاملFault-Tolerant Control of a Nonlinear Process with Input Constraints
A Fault-Tolerant Control (FTC) methodology has been presented for nonlinear processes being imposed by control input constraints. The proposed methodology uses a combination of Feedback Linearization and Model Predictive Control (FLMPC) schemes. The resulting constraints in the transformed process will be dependent on the actual evolving states, making their incorporation in the de...
متن کاملAdaptive Actuators Allocation Strategies for Overactuated Networked Control Systems
This paper presents a preliminary adaptive actuators allocation scheme that is fault-tolerant with respect to actuator faults or loss of effectiveness for overactuated networked systems. The main idea here is to use an ad-hoc online parameter estimator coupled with an allocation algorithm to perform on-line control reconfiguration. Two simple algorithms are proposed for nonlinear discretetime s...
متن کاملAdaptive Neural-based Fault Tolerant Control for Nonlinear Systems
A neural network based fault tolerant control for unknown nonlinear systems is proposed. The faultless system is controlled by a nonlinear Internal Model Controller (IMC), where both the direct and inverse models of the plant are carried out by neural networks. Using the residual signal generated from the fault detection path, an extra neural-network fault compensation loop is introduced. This ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Asian Journal of Control
سال: 2017
ISSN: 1561-8625
DOI: 10.1002/asjc.1619