Design about Automatic Vehicles Following System for Field Vibrator Motorcade

2013 ◽  
Vol 860-863 ◽  
pp. 2654-2659
Author(s):  
Shu Qing Li ◽  
Huan Zhang ◽  
Zhi Fei Tao
Keyword(s):  
Control System ◽  
Low Cost ◽  
Unmanned Vehicles ◽  
Good Effect ◽  
Unmanned Vehicle ◽  
Distance Control ◽  
Key Points ◽  
Vehicle Platoon ◽  
Real Time Information ◽  
And Control

As is known that the key points of unmanned vehicles are environmental perception, path planning and vehicles control. In order to achieve the goal of unmanned operations of the vibrator motorcade in the field, a low-cost automatic vehicles following system was established, which provided with environmental monitoring, real-time information feedback and control. And the designed system simplified the algorithm on the premise of ensuring the control accuracy and had a good effect on vehicles distance control with the help of Visual Studio. Finally, the LabVIEW program was programmed to guide the practical vibrator motorcade test, implementing the requirements of unmanned vehicle platoon control system. The results show that the designed vehicles distance control system works well in security distance control and meets the needs of vibrator motorcade, providing feasible reference for future specific applications of unmanned vehicle platoon in practice.

scholarly journals Design and Performance Evaluation of a Low-Cost Autonomous Sensor Interface for a Smart IoT-Based Irrigation Monitoring and Control System

Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3643 ◽  
Author(s):  
Abba ◽  
Namkusong ◽  
Lee ◽  
Crespo
Keyword(s):  
Control System ◽  
Low Cost ◽  
Integrated Design ◽  
Monitoring And Control ◽  
Sensors And Actuators ◽  
Irrigation Systems ◽  
Sensor Interface ◽  
Monitoring And Control System ◽  
Autonomous Sensor ◽  
And Control

Irrigation systems are becoming increasingly important, owing to the increase in human population, global warming, and food demand. This study aims to design a low-cost autonomous sensor interface to automate the monitoring and control of irrigation systems in remote locations, and to optimize water use for irrigation farming. An internet of things-based irrigation monitoring and control system, employing sensors and actuators, is designed to facilitate the autonomous supply of adequate water from a reservoir to domestic crops in a smart irrigation systems. System development lifecycle and waterfall model design methodologies have been employed in the development paradigm. The Proteus 8.5 design suite, Arduino integrated design environment, and embedded C programming language are commonly used to develop and implement a real working prototype. A pumping mechanism has been used to supply the water required by the soil. The prototype provides power supply, sensing, monitoring and control, and internet connectivity capabilities. Experimental and simulation results demonstrate the flexibility and practical applicability of the proposed system, and are of paramount importance, not only to farmers, but also for the expansion of economic activity. Furthermore, this system reduces the high level of supervision required to supply irrigation water, enabling remote monitoring and control.

Design of ZigBee Network Test and Control System Based on S3C2410

2010 ◽  
Vol 108-111 ◽  
pp. 637-641
Author(s):  
Guang Zhao Cui ◽  
Song Jin ◽  
Zhi Hong Hu ◽  
Jin Chao Guo ◽  
Jun Shi
Keyword(s):  
Control System ◽  
High Rate ◽  
Single Chip ◽  
Control Center ◽  
Embedded Os ◽  
Development Platform ◽  
Key Points ◽  
Zigbee Network ◽  
Test And Control System ◽  
And Control

Designed the ZigBee network test and control system. The key points of transplanting embedded OS linux were introduced￡and the embedded ARM-linux development platform was designed￡A ZigBee wireless sensor network monitoring system based on the platform was achieved￡JN5121 as a single-chip microprocessor was designed to be wireless microcontroller￡while S3C2410 with an advanced ARM9 core and JN5121 were made to be net data concentrator￡The design has high rate hardware reusing device that can well communicate with remote control center.

UNMANNED VEHICLE CONTROL SYSTEM BASED ON FUZZY CLUSTERING. PART 1. VEHICLE MOVEMENT MODEL

2020 ◽  
pp. 3-12
Author(s):  
A. S. Akopov ◽  
N. K. Khachatryan ◽  
L. A. Beklaryan ◽  
A. L. Beklaryan
Keyword(s):  
Control System ◽  
Fuzzy Clustering ◽  
Personal Space ◽  
Computational Procedure ◽  
Unmanned Vehicles ◽  
Final Decision ◽  
Clustering Methods ◽  
Movement Model ◽  
Unmanned Vehicle ◽  
Vehicle Movement

A control system for ground unmanned vehicles is presented, using fuzzy clustering methods for making decisions at an individual level. A new approach to the management of ground unmanned vehicles has been developed, taking into account the state of vehicles in a dense traffic, in particular, the presence of road accidents, the appearance of traffic congestion (high density clusters), etc. An important advantage of this approach is the description of the rules for the interaction of various agents with each other and the external environment within the framework of the final decision-making system of individual agents without the need for a complex computational procedure for identifying the potentials of various forces of the system as a whole. In particular, such rules can be described using systems of differential equations with a variable structure, taking into account all the variety of possible interactions and collisions (potential collisions) between different (moving or stationary) objects. A key feature of the proposed model is the use of the concept of the radius of the agent’s personal space, which explains the effects of turbulence and crush. In this case, the radius of the agent’s personal space is a function of the density of vehicles. As a result, a model of unmanned vehicle movement is developed.

The Monitoring and Control of Burners Co-Firing Coal and Biomass

2012 ◽  
Author(s):  
P. Valliappan ◽  
K. Jagiełło ◽  
S. J. Wilcox
Keyword(s):  
Control System ◽  
Low Cost ◽  
Pilot Scale ◽  
Test Facility ◽  
Data Sets ◽  
Monitoring And Control ◽  
Operational Parameters ◽  
Monitoring And Control System ◽  
Flame Monitoring ◽  
And Control

The monitoring and control of combustion systems co-firing coal and biomass is a critical consideration when aiming to increase the proportion of biomass being combusted. This is because it is likely that the combustion will become increasingly unstable as the biomass proportion increases. In order to develop a flame monitoring and control system, flame signal data sets were collected from combustion measurements taken on a 500kW pilot scale combustion test facility. The sensors used were photodiodes with sensitivities in the UV, visible and IR wavelengths. The analysis of these data, identified flame features that can be related to operational parameters such as flame stability, excess air level, NOx and CO emissions. These features were then applied in the development of an intelligent flame monitoring and optimisation system for individual burners based on these low cost sensors. The testing of the monitoring and control system on a pilot scale burner and at full scale are described in this paper.

scholarly journals Assessment of Hydrological Inspection using Development Low-Cost Boat Application in University Sultan Zainal Abidin (UniSZA) Lake, Terengganu, Malaysia

2019 ◽  
Vol 8 (2S3) ◽  
pp. 205-212
Keyword(s):  
Control System ◽  
Low Cost ◽  
Control Unit ◽  
Cost Effective ◽  
Unmanned Vehicles ◽  
Range Finder ◽  
Hydrographic Survey ◽  
Motor Control System ◽  
Reduce Risk ◽  
Communication Equipment

Unmanned vehicles may provide less time consume and cost-effective methods of gathering hydrographic survey data compared to traditional, manned survey vessels. A remote-controlled Unmanned Surface Vehicle (USV) was outfitted with range finder, depth transducer, and velocity current meter for the purpose of conducting a hydro survey. The purpose of study to describes a project for the development of Unmanned Survey Vessel (USV) platform useful for hydrological survey. The control unit includes a motor control system, communication equipment, and a simple radio control system installed to enables an operator to remotely control the boat. The motor radio control system, the measurement equipment (sonar depth, current meter, range finder) used in data collecting activities. The result showed the validation values of Hydro Survey Boat Version 1 and Hydro Survey Boat Version 2, the estimated validation of river discharge (Q) recorded 0.0373 m3/s. The significant differences of Q between Hydro Survey Boat Version 1 as 0.0853 m3/s (56.3%) and Hydro Survey Boat Version 2 as 0.042 m3/s (11.2%) which is the Hydro Survey Boat Version 2 recorded more accurate readings compared Hydro Survey Boat Version 1. There are several advantages of this project which is reducing cost, improve efficiency, and reduce risk during hydrology survey. The development survey boat USV is innovation technology and it will improved the hydrological method

Intelligent Detection Method for Roll Stability of Unmanned Vehicle based on Fuzzy Control

2021 ◽  
Vol 13 (4) ◽  
Author(s):  
Jun Chen
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Detection Method ◽  
Lower Layer ◽  
Unmanned Vehicles ◽  
Roll Angle ◽  
Detection Accuracy ◽  
Unmanned Vehicle ◽  
Roll Control ◽  
Intelligent Detection

When the unmanned vehicle is disturbed by the outside world or carries out dangerous actions such as steering and continuous lane changing, the yaw stability of the unmanned vehicle decreases and the dangerous situation such as rollover is easy to occur. In this paper, the intelligent detection method for roll stability of unmanned vehicles based on fuzzy control is studied. The roll control system of the unmanned vehicle based on a double-layer control strategy is designed. The roll stability of the unmanned vehicle is controlled by an upper-layer fuzzy controller and lower-layer differential braking control. The dynamic model and tire model are built in MATLAB/Simulink to restore the running characteristics of unmanned vehicles. Based on the operation characteristics, the roll stability of the unmanned vehicle’s roll control system based on fuzzy control is tested from three aspects: steady-state response, roll stability and dynamic stability coefficient. The experimental results show that the transverse load’s transfer rate of the proposed method is reduced by more than 0.2% compared with the contrast method, the yaw angular velocity, centroid’s roll angle and roll angle measured under the two working conditions are closer to the actual values, which shows that the method has better control effect and detection accuracy.

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