scholarly journals Multimedia System for Real-Time Photorealistic Nonground Modeling of 3D Dynamic Environment for Remote Control System

Symmetry ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 83 ◽  
Author(s):  
Phuong Chu ◽  
Seoungjae Cho ◽  
Sungdae Sim ◽  
Kiho Kwak ◽  
Kyungeun Cho
Keyword(s):  
Control System ◽  
Remote Control ◽  
Real Time ◽  
Dynamic Environment ◽  
Multimedia System ◽  
Remote Control System

Design of the Remote Control System Based on AT89S52+GPRS

2014 ◽  
Vol 926-930 ◽  
pp. 1301-1305
Author(s):  
Cun Zhi Yao ◽  
Fu Xing Liu
Keyword(s):  
Control System ◽  
Remote Control ◽  
Real Time ◽  
Data Transmission ◽  
High Rate ◽  
Rate Data ◽  
The Core ◽  
Remote Control System ◽  
Broad Scope

A GPRS remote control system is designed here,this system,taking AT89S52 MCU as the core and including the keyboard and LCD circuits, has the function of sending and receiving the messages;and it supports TCP/IP protocol and X2.5, which can realize real-time online high rate data transmission and the broad scope of access;its suitable for a variety of remote control domain. Keywords:MCU;GPRS;remote;control system

REMOTE CONTROL SYSTEM AND REAL-TIME OPERATION FUNCTIONS OF HIDRO-POWER PLANTS

2007 ◽  
Vol 40 (8) ◽  
pp. 153-156
Author(s):  
Gabriel VLADUT ◽  
Camelia COJOCARU ◽  
Constantin RUSTA ◽  
Ion PURCARU
Keyword(s):  
Control System ◽  
Remote Control ◽  
Real Time ◽  
Power Plants ◽  
Remote Control System ◽  
Time Operation ◽  
Real Time Operation

scholarly journals Development of a Real-time Remote Control System for Robots Using AR

2014 ◽  
Vol 50 (4) ◽  
pp. 383-385
Author(s):  
Tomoaki KASHIWAO ◽  
Tsuyoshi MATSUKI ◽  
Mikio DEGUCHI ◽  
Miyuki SHIRAI ◽  
Koji URABE ◽  
...  
Keyword(s):  
Control System ◽  
Remote Control ◽  
Real Time ◽  
Remote Control System

scholarly journals Remote Run-Time Failure Detection and Recovery Control For Quadcopters

2021 ◽  
pp. 1-21
Author(s):  
Sajad Shahsavari ◽  
Mohammed Rabah ◽  
Eero Immonen ◽  
Mohammad-Hashem Haghbayan ◽  
Juha Plosila
Keyword(s):  
Control System ◽  
Remote Control ◽  
Real Time ◽  
Data Exchange ◽  
Measurement Data ◽  
Failure Detection ◽  
Normal Operation ◽  
Communication Link ◽  
Remote Control System ◽  
Run Time

We propose an adaptive run-time failure recovery control system for quadcopter drones, based on remote real-time processing of measurement data streams. Particularly, the measured RPM values of the quadcopter motors are transmitted to a remote machine which hosts failure detection algorithms and performs recovery procedure. The proposed control system consists of three distinct parts: (1) A set of computationally simple PID controllers locally onboard the drone, (2) a set of computationally more demanding remotely hosted algorithms for real-time drone state detection, and (3) a digital twin co-execution software platform — the ModelConductor-eXtended — for two-way signal data exchange between the former two. The local on-board control system is responsible for maneuvering the drone in all conditions: path tracking under normal operation and safe landing in a failure state. The remote control system, on the other hand, is responsible for detecting the state of the drone and communicating the corresponding control commands and controller parameters to the drone in real time. The proposed control system concept is demonstrated via simulations in which a drone is represented by the widely studied Quad-Sim six degrees-of-freedom Simulink model. Results show that the trained failure detection binary classifier achieves a high level of performance with F1-score of 96.03%. Additionally, time analysis shows that the proposed remote control system, with average execution time of 0.49 milliseconds and total latency of 6.92 milliseconds in two-way data communication link, meets the real-time constraints of the problem. The potential practical applications for the presented approach are in drone operation in complex environments such as factories (indoor) or forests (outdoor).

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