Fault tolerant control method for displacement sensor fault of wheel-legged robot based on deep learning

2018 ◽  
Author(s):  
Zhou Gao ◽  
Liling Ma ◽  
Junzheng Wang
Keyword(s):  
Deep Learning ◽  
Control Method ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Displacement Sensor ◽  
Legged Robot ◽  
Sensor Fault

scholarly journals System Control In Fault And Normal Conditions Case Study - Quanser SRV-02

2015 ◽  
Vol 67 (1) ◽  
pp. 133-138
Author(s):  
Ionut Cristian Resceanu ◽  
Cristina Floriana Resceanu
Keyword(s):  
Fault Tolerance ◽  
Theoretical Analysis ◽  
Control Method ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Control Law ◽  
System Control ◽  
Sensor Fault ◽  
Simulation Results

Abstract A fault tolerant control method is proposed for Quanser SRV-02 System in order to maintain the required performance in the presence of sensor failures. The proposed approach integrates control law and a sensor fault tolerance schema. Theoretical analysis and simulation results have confirmed the effectiveness of the proposed method.

Sensor Fault-Tolerant Control Method Applied to a Winding Machine

2000 ◽  
Vol 33 (11) ◽  
pp. 777-782 ◽  
Author(s):  
Hassan Noura ◽  
Jean-christophe Ponsart ◽  
Didier Theilliol
Keyword(s):  
Control Method ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Sensor Fault ◽  
Winding Machine

Sliding mode prediction fault-tolerant control method for multi-delay uncertain discrete system with sensor fault

2020 ◽  
pp. 014233122095333
Author(s):  
Pu Yang ◽  
Zhangxi Liu ◽  
Dejie Li ◽  
Bin Jiang ◽  
Jiaqi Zhu
Keyword(s):  
Control Method ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Fault Tolerant Control ◽  
Reference Trajectory ◽  
Sliding Surface ◽  
Sensor Fault ◽  
Good Convergence ◽  
Whale Optimization ◽  
Global Robustness

In this paper, we design a novel sliding mode prediction fault-tolerant control algorithm for multi-delays discrete uncertain systems with sensor fault. The global sliding surface is designed to replace the traditional linear sliding surface as a predictive model to ensure the global robustness of the system. For sensor fault and sliding mode buffeting, a power-dependent function reference trajectory with fault compensation is designed to attenuate chattering and achieve better stability. In the process of rolling optimization, an improved whale optimization algorithm is developed. On the premise of obtaining good convergence speed and accuracy, the optimization process can avoid falling into the local minimum value and solve the problem of premature convergence. Finally, the comparison experiments on the quad-rotor simulation platform prove the rationality and superiority of the algorithm.

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