Performance analysis and control F-policy for fault-tolerant system with working vacation

OPSEARCH ◽  
2019 ◽  
Vol 56 (2) ◽  
pp. 409-431 ◽  
Author(s):  
Madhu Jain ◽  
Chandra Shekhar ◽  
Rakesh Kumar Meena
Author(s):  
Alireza Nemati ◽  
Rumit Kumar ◽  
Manish Kumar

In this paper, stability and control of tilting-rotor quadcopters is presented upon failure of one propeller during flight. A tilting rotor quadcopter provides advantage in terms of additional stable configurations and maneuverability. Upon failure of one propeller, a traditional quadcopter has a tendency of spinning about the primary axis fixed to the vehicle as an outcome of the asymmetry about the yaw axis. This forces the quadcopter to land abandoning its mission. The tilting-rotor configuration is an over-actuated form of a traditional quadcopter and it is capable of handling a propeller failure, thus making it a fault tolerant system. In this paper, a dynamic model of tilting-rotor quadcopter with one propeller failure is derived and a controller is designed to achieve hovering and navigation capability. The simulation results showing the effectiveness of the proposed controller is presented using the translational and hovering motion.


2010 ◽  
Vol 4 (4) ◽  
pp. 55-60
Author(s):  
Sathish A ◽  
M. Chennakesavulu ◽  
M. Madhavi Latha ◽  
K. Lal Kishore

2017 ◽  
Vol 26 (07) ◽  
pp. 1750111 ◽  
Author(s):  
Jie Wang ◽  
Jiwei Liu

The evolvable hardware (EHW) is widely used in the design of fault-tolerant system. Fault-tolerant system is really a real-time system, and the recovery time is necessary in fault detection and recovery. However, when applying EHW, real-time characteristic is usually ignored. In this paper, a fault-tolerant strategy based on EHW is proposed. The recovery time, predicted by the fault tree analysis (FTA), is considered as a constraint condition. A configuration library is set up in the design phase to accelerate the repair process of the anticipated faults. An evolvable algorithm (EA) based on similarity is applied to evolve the repair circuit for the unanticipated faults. When the library reaches the upper, the target system is reconfigured by the EA-repair technology. Extensive experiments are conducted to show that our method can improve the fault-tolerance of the system while satisfying the real-time requirement on FPGA platform. In a long run system, our method can keep a higher fault recovery rate.


2021 ◽  
pp. 1-27
Author(s):  
Saddam Hocine Derrouaoui ◽  
Yasser Bouzid ◽  
Mohamed Guiatni ◽  
Islam Dib

Recently, reconfigurable drones have gained particular attention in the field of automation and flying robots. Unlike the conventional drones, they are characterized by a variable mechanical structure in flight, geometric adaptability, aerial reconfiguration, high number of actuators and control inputs, and variable mathematical model. In addition, they are exploited to flight in more cluttered environments, avoid collisions with obstacles, transport and grab objects, cross narrow and small spaces, decrease different aerial damages, optimize the consumed energy, and improve agility and maneuverability in flight. Moreover, these new drones are considered as a viable solution to provide them with specific and additional functionalities. They are a promising solution in the near future, since they allow increasing considerably the capabilities and performance of classical drones in terms of multi-functionalities, geometric adaptation, design characteristics, consumed energy, control, maneuverability, agility, efficiency, obstacles avoidance, and fault tolerant control. This paper explores very interesting and recent research works, which include the classification, the main characteristics, the various applications, and the existing designs of this particular class of drones. Besides, an in-depth review of the applied control strategies will be presented. The links of the videos displaying the results of these researches will be also shown. A comparative study between the different types of flying vehicles will be established. Finally, several new challenges and future directions for reconfigurable drones will be discussed.


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