Injection control algorithm of diesel electronic control system based on neural network technology

2021 ◽  
Author(s):  
Bing Gao ◽  
Shaoming Zhang ◽  
Zhaoyang Li
Keyword(s):  
Neural Network ◽  
Control System ◽  
Control Algorithm ◽  
Network Technology ◽  
Electronic Control ◽  
Electronic Control System ◽  
Injection Control ◽  
Neural Network Technology

Power Equipment Control in Four-Footed Bearing-Burden Robot Dog

2014 ◽  
Vol 513-517 ◽  
pp. 3328-3331
Author(s):  
Jun Wang ◽  
Lian He ◽  
You Tong Zhang
Keyword(s):  
Control System ◽  
Control Algorithm ◽  
Neural Control ◽  
System Control ◽  
Power Equipment ◽  
Electronic Control ◽  
Control Effect ◽  
Electronic Control System ◽  
And Control ◽  
Experimental Bench

To meet the control demand of power equipment in robot dog, development on control system for robot dog is made. Based on the brief analysis of demand in power and configure in power assembly of robot dog, whole design sketch of control system for power is presented, electronic control system based on MC9S12DP512 microprocessor and neural control algorithm for network structure PID is found. Control algorithm and control effect of control system is verified in experimental bench, experimental results showed that designed control system control effect is stable and it can meet the design requirement in transient speed adjusting and stable speed fixing.

The Intelligent Vehicle Control System Based on the Fuzzy Neural Network Technology

2012 ◽  
Vol 487 ◽  
pp. 830-835 ◽  
Author(s):  
Jin Yi Lian
Keyword(s):  
Neural Network ◽  
Control System ◽  
Intelligent Transportation ◽  
Vehicle Control ◽  
Intelligent Vehicles ◽  
Intelligent Vehicle ◽  
Identification System ◽  
Main Body ◽  
Network Technology ◽  
Neural Network Technology

The intelligent transportation system (ITS) is an important field of technology in which all countries over the world compete to make researches and developments, so the research of the intelligent vehicle, which is the main body of the intelligent transportation, is in the ascendant. This paper will discuss the control system of intelligent vehicle. This paper analyzes the technological parts of the intelligent vehicle control system and proposes that the millimeter radar should be used as the main component of the intelligent vehicle environment identification system; aiming at the anti-collision problems of the speeding intelligent vehicles, it puts forward the car rear-end location algorithm and the safe following distance prediction model based on the neural network technology; and it also gives the criterion for margin of the danger and the hardware composition principles of the vehicle control system.

scholarly journals Research on Energy Control System of Office Building Based on the BIM and BP Neural Network Technology

2021 ◽  
Vol 2044 (1) ◽  
pp. 012196
Author(s):  
Hongchang Sun ◽  
Heng Li ◽  
Yuantan Guo ◽  
Yadong Wang ◽  
Weifang Zhang ◽  
...  
Keyword(s):  
Neural Network ◽  
Control System ◽  
Bp Neural Network ◽  
Office Building ◽  
Network Technology ◽  
Energy Control ◽  
Neural Network Technology

scholarly journals Recoverable autonomous sonde for subglacial lake exploration: electronic control system design

2021 ◽  
pp. 1-17
Author(s):  
Shilin Peng ◽  
Xiao Jiang ◽  
Yongzhen Tang ◽  
Chong Li ◽  
Xiaodong Li ◽  
...  
Keyword(s):  
Control System ◽  
System Design ◽  
Video Recording ◽  
Control System Design ◽  
Electronic Control ◽  
High Definition ◽  
Water Conductivity ◽  
Camera System ◽  
Subglacial Lake ◽  
Electronic Control System

Abstract Subglacial lake exploration is of great interest to the science community. RECoverable Autonomous Sonde (RECAS) provides an exploration tool to measure and sample subglacial lake environments while the subglacial lake remains isolated from the glacier surface and atmosphere. This paper presents an electronic control system design of 200 m prototype of RECAS. The proposed electronic control system consists of a surface system, a downhole control system, and a power transfer and communication system. The downhole control system is the core element of RECAS, and is responsible for sonde status monitoring, sonde motion control, subglacial water sampling and in situ analysis. A custom RS485 temperature sensor was developed to cater for the limited size and depth requirements of the system. We adopted a humidity-based measurement to monitor for a housing leak. This condition is because standard leak detection monitoring of water conductivity may be inapplicable to pure ice in Antarctica. A water sampler control board was designed to control the samplers and monitor the on/off state. A high-definition camera system with built-in storage and self-heating ability was designed to perform the video recording in the subglacial lake. The proposed electronic control system is proven effective after a series of tests.

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