scholarly journals Human-Intelligent System Shared Control Strategy with Conflict Resolution

Author(s):  
Shriram C Jugade ◽  
Alessandro C Victorino ◽  
Veronique B Cherfaoui
2012 ◽  
Vol 9 (2) ◽  
pp. 402-406 ◽  
Author(s):  
Jungsik Kim ◽  
Hamid Ladjal ◽  
David Folio ◽  
Antoine Ferreira ◽  
Jung Kim

2012 ◽  
Vol 246-247 ◽  
pp. 832-837
Author(s):  
Yu Miao Wei ◽  
Qin He Gao ◽  
Yong Long ◽  
Xiang Yang Li

Based on topological graph theory, collaboration technique and other relevant theory, this paper carry out the research of exploring a technical path to solving the conflict of concurrency in CVM, Under the circum stances of conforming to logic and topological relationship , the attributes of timing sequence are studied emphatically, following the deeply analysis quantitatively and qualitatively, then the mathematical expression of predicted retardation and the control strategy are put forward, which builds a fair and friendly negotiation mechanism for occurrence priority distribution. Finally the OOT (Object Oriented Technology) based programming structure and realization means of the strategy are given in this paper. What elaborated in this paper has certain engineering and application value for the design of complicated virtual maintains system , conflict resolution of concurrency and the application of collaboration technique etc.


2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Ming Cheng ◽  
Yixuan Li ◽  
Xiaolian Han

For studying the mechanism of flight conflict in approach of the intersecting runway, this paper applies the case study, scenario construction, and complex network, analyzes the operational risks of the intersecting runway, and researches the general rule of flight conflict. We constructed a network model of scenario evolution of flight conflict with selecting Beijing Daxing International Airport as the research object, which included 169 nodes and 263 edges. It proposed path evolution and verified the effectiveness of this network. We analyzed the degree centrality, median centrality, and closeness centrality of the network, and the results showed that the comprehensive value of 5 nodes is high, including go-around (V2), conflict resolution (C22), the warning light of aft cargo dJor was extinguished (F12), suspend subsequent take-off operations (F5), and keeping visual flying (C26). The results show that this method provides a new research way for the control strategy of chain breakage and the mechanism of scenario evolution of flight conflict.


Author(s):  
Liangyao Yu ◽  
Lanie Abi ◽  
Zhenghong Lu ◽  
Yaqi Dai

Abstract The steer-by-wire (SBW) system eliminates the mechanical connection between the steering wheel and the carriage wheel. It eliminates various limitations of the traditional steering system, so that the steering ratio of the car can be freely designed and the steering by wire system can achieve good active front wheel steering (AFS) function. In the study of the stability control of vehicles on the μ-split road, there are mainly two methods, one based on vehicle trajectory maintenance and the other based on vehicle dynamic stability control. Both of these control methods have delays, which is not conducive to the trajectory flowing ability of the vehicle when driving on the μ-split road. A shared control strategy is proposed to improve the vehicle’s stability. The purpose of this study is to establish different variable transmission ratio characteristic curves according to the different input signals of the driver and the vehicle, such as angular change speed, steering wheel angle, etc. Based on these conditions, a new model combining driver’s intention with vehicle dynamic model is established, so as to achieve the purpose of judging the stability of vehicle in advance, to reduce the delay time of control and to improve the response speed, which will improve the stability performance of the vehicle.


2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Xinjian Niu ◽  
Chifu Yang ◽  
Bowen Tian ◽  
Xiang Li ◽  
Junwei Han

According to the parallel mechanism theory, this paper proposes a novel intelligent robotic spine brace for the treatment of scoliosis. Nevertheless, this type of parallel mechanism has the following disadvantages: strong dynamic coupling in task space or joint space, adverse effect of system’s gravity, and lower response frequency in roll and pitch orientations, which seriously affect the performance of the system. In order to solve those boring problems, this paper presents a novel active force control structure, modal space dynamic feed-forward (MSDF) force control strategy. Besides, this paper expresses the intelligent robotic brace system model including the dynamic and kinematic models and the electric actuator model with Kane strategy. The stability of the intelligent system with the novel control strategy is proved. In order to evaluate the performance of the presented MSDF force control method, this paper builds the parallel mechanism experimental platform. It can be seen from experimental results that the proposed motion control method solves these boring problems well.


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