scholarly journals Fault-Tolerant Irregular Topology Design Method for Network-on-Chips

2014 ◽  
Author(s):  
Suleyman Tosun ◽  
Vahid Babaei Ajabshir ◽  
Ozge Mercanoglu ◽  
Ozcan Ozturk
Keyword(s):  
Fault Tolerant ◽  
Design Method ◽  
Topology Design

scholarly journals Typical Fault Estimation and Dynamic Analysis of a Leader-Follower Unmanned Aerial Vehicle Formation

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jian Shen ◽  
Qingyu Zhu ◽  
Xiaoguang Wang ◽  
Pengyun Chen
Keyword(s):  
Dynamic Analysis ◽  
Unmanned Aerial Vehicle ◽  
Cooperative Control ◽  
Health Management ◽  
Fault Tolerant ◽  
Design Method ◽  
Observer Design ◽  
Fault Estimation ◽  
Proportional Navigation ◽  
Aerial Vehicle

In this paper, the typical fault estimation and dynamic analysis are presented for a leader-follower unmanned aerial vehicle (UAV) formation system with external disturbances. Firstly, a dynamic model with proportional navigation guidance (PNG) control of the UAV formation is built. Then, an intermediate observer design method is adopted to estimate the system states and faults simultaneously. Based on the graph theory, the topology relationship between each node in the UAV formation has been also analyzed. The estimator and the system error have been created. Moreover, the typical faults, including the components failure, airframe damage, communication failure, formation collision, and environmental impact, are also discussed for the UAV system. Based on the fault-tolerant strategy, five familiar fault models are proposed from the perspectives of fault estimation, dynamical disturbances, and formation cooperative control. With an analysis of the results of states and faults estimation, the actuator faults can be estimated precisely with component failure and wind disturbances. Furthermore, the basic dynamic characteristics of the UAV formation are discussed. Besides, a comparison of two cases related to the wind disturbance has been accomplished to verify the performance of the fault estimator and controller. The results illustrate the credibility and applicability of the fault estimation and dynamic control strategies for the UAV system which are proposed in this paper. Finally, an extension about the UAV formation prognostic health management system is expounded from the point of view of the fault-tolerant control, dynamic modeling, and multifault estimation.

scholarly journals Hardware Implementation of FTC of Induction Machine on FPGA

2017 ◽  
Vol 20 (2) ◽  
pp. 76
Author(s):  
S. Boukadida ◽  
S. Gdaim ◽  
A. Mtibaa
Keyword(s):  
Digital Signal Processor ◽  
Fault Tolerant ◽  
Design Method ◽  
Direct Torque Control ◽  
Induction Machine ◽  
Digital Signal ◽  
Design Tool ◽  
Torque Control ◽  
Algorithm Efficiency ◽  
Comparison Results

In this paper, a new design method of Direct Torque Control using Space Vector Modulation (DTC-SVM) of an Induction Machine (IM), which is based on Fault Tolerant Control (FTC) is proposed. Due to its complexity, the FTC implemented on a microcontroller and a Digital Signal Processor (DSP) is characterized by a calculating delay. To solve this problem, an alternative digital solution is used, based on the Field Programmable Gate Array (FPGA), which is characterized by a fast processing speed. However, as an FPGAs increase in size, there is a need for improved productivity, and this includes new design flows and tools. Xilinx System Generator (XSG) is a high-level block-based design tool that offers bit and cycle accurate simulation. This tool can automatically generate the Very High-Density Logic (VHDL) code without resorting to a tough programming, without being obliged to do approximations and more we can visualize the behavior of the machine before implementation which is very important for not damage our machine. Simulation and experimental results using Hardware In the Loop (HIL) of the FTC based DTC-SVM is compared with those of the conventional DTC. The comparison results illustrate the reduction in the torque and stator flux ripples. Our purpose is to reveal our algorithm efficiency and to show the Xilinx Virtex V FPGA performances in terms of execution time. 

Fault Tolerant Topology Design for Ad Hoc and Sensor Networks

2008 ◽  
pp. 652-664 ◽  
Author(s):  
Yu Wang
Keyword(s):  
Fault Tolerance ◽  
Sensor Networks ◽  
Network Security ◽  
System Design ◽  
Ad Hoc ◽  
Fault Tolerant ◽  
Topology Design ◽  
Sensor Coverage ◽  
Sensor Applications ◽  
Control Topology

Fault tolerance is one of the premier system design desiderata in wireless ad hoc and sensor networks. It is crucial to have a certain level of fault tolerance in most of ad hoc and sensor applications, especially for those used in surveillance, security, and disaster relief. In addition, several network security schemes require the underlying topology provide fault tolerance. In this chapter, we will review various fault tolerant techniques used in topology design for ad hoc and sensor networks, including those for power control, topology control, and sensor coverage.

Fault-tolerant formation control of stochastic nonlinear multi-agent systems with time-varying weighted topology

2020 ◽  
Vol 42 (8) ◽  
pp. 1461-1474 ◽  
Author(s):  
Mahdi Siavash ◽  
Vahid Johari Majd ◽  
Mahdie Tahmasebi
Keyword(s):  
Formation Control ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Design Method ◽  
Time Varying ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Rlc Circuit ◽  
Adaptive Laws ◽  
Multi Agent

In this paper, the fault-tolerant formation control of nonlinear stochastic multi-agent systems in the presence of actuator faults, disturbances, and time-varying weighted topology is considered. While most traditional fault-tolerant control methods in the literature use fixed weights on the topology edges, in this study these weights are considered time-varying using a pre-designed function, which allows formulating the system more realistically. Moreover, in contrast with previous works on fault-tolerant multi-agent systems, in this study, the model of the agents is considered to be stochastic in general. Furthermore, the actuators of the agents are considered to have a time-varying fault of additive and multiplicative types. A passive and an active fault-tolerant controllers are designed based on the back-stepping sliding-mode approach. In the passive method, a constant robust controller is proposed using an upper bound of the faults while, in the active controller, the additive and multiplicative faults are estimated using adaptive laws. The active and passive fault-tolerant controllers guarantee that the formation errors converge to a bounded region near the origin in a mean-square sense and all of the existing signals in the closed-loop system remain bounded in probability. The results of the formation control are extended to consensus control as well. Finally, a stochastic multi-aircraft model and an RLC circuit with stochastic part are used as two case studies to illustrate the effectiveness of the proposed design method.

Genetic multistart algorithm for the design of fault-tolerant systems

2008 ◽  
Vol 222 (1) ◽  
pp. 17-29
Author(s):  
K Echtle ◽  
I Eusgeld ◽  
D Hirsch
Keyword(s):  
Genetic Algorithm ◽  
Fault Tolerance ◽  
Fault Tolerant ◽  
Design Method ◽  
Fitness Function ◽  
Evolutionary Process ◽  
Mechatronic Systems ◽  
Fast Evaluation ◽  
Pareto Solution ◽  
Fault Tolerant Systems

This paper presents a new approach to the multiobjective design of fault-tolerant systems. The design objectives are fault tolerance and cost. Reducing the cost is of particular importance for fault-tolerant systems because the overhead caused by redundant components is considerable. The new design method consists of a special genetic algorithm that is tailored to the particular issues of fault-tolerant systems. The interface of the present tool ePADuGA (elitist and Pareto-based Approach to Design fault-tolerant systems using a Genetic Algorithm) allows for adaptation to various fields of application. The degree of fault tolerance is measured by the number of tolerated faults rather than traditional reliability metrics, because reliability numbers are mostly unknown during early design phases. The special features of the genetic algorithm comprise a graph-oriented representation of systems (which are the individuals during the evolutionary process), a simple yet expressive fault model, a very efficient procedure for fault-tolerance evaluation, and a Pareto-oriented fitness function. In a genetic algorithm generating thousands of individuals, a very fast evaluation of each individual is mandatory. For this purpose, state-space-oriented evaluation methods have been cut down to an extremely simple function which is still sufficient to assess the fault tolerance of individuals. An innovative aspect is also a multistart technique to find a Pareto solution set, which is independent of any parameters. In this paper, experimental results are presented showing the feasibility of the approach as well as the usefulness of the final fault-tolerant architectures, particularly in the field of mechatronic systems.

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