scholarly journals Reliability Architecture for Collaborative Robot Control Systems in Complex Environments

10.5772/62201 ◽  
2016 ◽  
Vol 13 (1) ◽  
pp. 17 ◽  
Author(s):  
Liang Tang ◽  
Yunliang Jiang ◽  
Jungang Lou
Keyword(s):  
Control Systems ◽  
Robot Control ◽  
Complex Environments ◽  
Collaborative Robot

scholarly journals The Integration of Collaborative Robot Systems and Their Environmental Impacts

Processes ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 494 ◽  
Author(s):  
Lucian Stefanita Grigore ◽  
Iustin Priescu ◽  
Daniela Joita ◽  
Ionica Oncioiu
Keyword(s):  
Control Systems ◽  
Autonomous Vehicles ◽  
Robot Control ◽  
Sensory Feedback ◽  
Industrial Robots ◽  
Robotic Systems ◽  
Ground Vehicles ◽  
Robot Systems ◽  
Aerial Vehicle ◽  
Collaborative Robot

Today, industrial robots are used in dangerous environments in all sectors, including the sustainable energy sector. Sensors and processors collect and transmit information and data from users as a result of the application of robot control systems and sensory feedback. This paper proposes that the estimation of a collaborative robot system’s performance can be achieved by evaluating the mobility of robots. Scenarios have been determined in which an autonomous system has been used for intervention in crisis situations due to fire. The experimental model consists of three autonomous vehicles, two of which are ground vehicles and the other is an aerial vehicle. The conclusion of the research described in this paper highlights the fact that the integration of robotic systems made up of autonomous vehicles working in unstructured environments is difficult and at present there is no unitary analytical model.

Safety in Robot Control Systems

1988 ◽  
Vol 21 (9) ◽  
pp. 266-271 ◽  
Author(s):  
G R Ward
Keyword(s):  
Control Systems ◽  
Robot Control

Real-Time Design Based on PREEMPT_RT and Timing Analysis of Collaborative Robot Control System

2021 ◽  
pp. 596-606
Author(s):  
Yanlei Ye ◽  
Peng Li ◽  
Zihao Li ◽  
Fugui Xie ◽  
Xin-Jun Liu ◽  
...  
Keyword(s):  
Control System ◽  
Real Time ◽  
Robot Control ◽  
Timing Analysis ◽  
Collaborative Robot ◽  
Robot Control System

scholarly journals Performance Analysis of Switched Control Systems Under Common-source Digital Upsets Modeled by MDHMM

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Rui Wang ◽  
Yanxiao Li ◽  
Hui Sun ◽  
Youmin Zhang ◽  
Yigang Sun
Keyword(s):  
Theoretical Analysis ◽  
Control Systems ◽  
Systems Design ◽  
Performance Degradation ◽  
Common Source ◽  
Complex Environments ◽  
Analysis Model ◽  
Redundant Design ◽  
Control Systems Design ◽  
The Relationship

This paper proposes the theoretical model to analyze the performance degradation of control systems subject to common-source digital upsets. In this paper, a multidimensional hidden Markov model (MDHMM) is used to characterize the correlated upsets and reveals the relationship between complex environments and stochastic random digital upsets injected into the control systems. These digital upsets coming from artificial complex environments are operated on distributed redundant processing controllers. Furthermore, this paper develops the theoretical analysis model for performance degradation of control systems under common-source digital interferences modeled by MDHMM. Theoretical estimations for different redundant configurations are analyzed. Then corresponding simulation verifications for a specific control system are also conducted in details and compared with the theoretical analysis results. These analyses can help to select an optimal redundant design and provide an example for control systems design. This analysis also helps to balance the performance of system, reliability of system, and costs of system design in applications.

Fault Detection of Robot Control Systems Based on Available Wireless Network Measurements

2013 ◽  
Vol 300-301 ◽  
pp. 604-610
Author(s):  
Jie Zhang ◽  
Ming Lv ◽  
Peng Fei Guo ◽  
Liang He ◽  
Yu Ming Bo
Keyword(s):  
Fault Detection ◽  
Control Systems ◽  
Robot Control ◽  
Fuzzy Model ◽  
Hop Count ◽  
Error Equation ◽  
Sensor Signals ◽  
Error System ◽  
The Stability ◽  
Controlled Object

Considering some robot control systems which employ wireless networks to transmit sensor signals between the controller and the nonlinear controlled object, the fault detection is carried out. Firstly, based on T-S fuzzy model, the object is linearized. The fuzzy observer is designed and the error equation of the observer is given by using the fuzzy dominant subsystem rule. Secondly, the error equation is equal to the discrete switched system related to the hop count of the wireless transmission, and the stability of the error system is proved. Finally, a simulation example is given to demonstrate the effectiveness of the proposed method in this paper.

A New Approach in Robot Control Systems for Home Nursing

1992 ◽  
Vol 4 (4) ◽  
pp. 279-287 ◽  
Author(s):  
Yukio Saito ◽  
◽  
Takanori Higashihara ◽  
Hiroshi Ito ◽  
Toru Oshima ◽  
...  
Keyword(s):  
Control Systems ◽  
Robot Control ◽  
Home Nursing ◽  
New Approach
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