Design of Heating Control System for UEGO Sensor

2013 ◽  
Vol 732-733 ◽  
pp. 1231-1235
Author(s):  
Ji Fei Lu ◽  
Chang Ji Zhu ◽  
Da Wei Qu ◽  
Xiao Lu
Keyword(s):  
Control System ◽  
Control Method ◽  
Simulation System ◽  
Exhaust Gas ◽  
Nonlinear Characteristic ◽  
Automobile Engine ◽  
Control Module ◽  
Pid Algorithm ◽  
Working Temperature ◽  
Time Simulation

Universal Exhaust Gas Oxygen (UEGO) Sensor is one of the most important sensors for the close-loop air-fuel-ratio control system of automobile engine. Due to its special structure, controller is used to control sensors temperature so that UEGO sensor can work normally. Aiming at nonlinear characteristic of the temperature control module, a subsection heating control method and a PID algorithm is studied. UEGO heating controller is implemented by means of Motohawk real time simulation system. Experimental results show that under the condition of different temperature, the UEGO is also able to maintain the best working temperature.

The Design of Two-Way Control System of Master-Slave Medical Robot and its Digital Operation Experiment Research

2011 ◽  
Vol 197-198 ◽  
pp. 203-207
Author(s):  
Shi Jie Li ◽  
Ya Rui Zhang ◽  
Hai Xia Bi ◽  
Tie Cheng Wang
Keyword(s):  
Experimental Study ◽  
Control System ◽  
Robot Control ◽  
Control Method ◽  
Organization Design ◽  
Simulation System ◽  
Simulation Software ◽  
Experimental Result ◽  
Experiment Research ◽  
Medical Robot

In recent years, the research on the medical robot's already became a new domain about the robot application, particularly the special medical robot already became a direction of the medical robot develops. This article started with the medical robot organization design, construct the three-dimensionalmodel,designed master-Slave Medical robot control system overall project, determined a new two-way control method of force telepresence, developed Master-Slave medical robot control system's simulation software, and conducted the experimental study, the experimental result showed that this simulation system had the very good timeliness and the accuracy.

Design of Engine Idle Speed Control System Based on CAN Bus

2013 ◽  
Vol 850-851 ◽  
pp. 620-623
Author(s):  
Pei Jiang Chen
Keyword(s):  
Control System ◽  
Control Method ◽  
Can Bus ◽  
Speed Control ◽  
Software Implementation ◽  
Control Module ◽  
Idle Speed ◽  
Idle Speed Control ◽  
Speed Control System ◽  
Fuel Consumption And Emissions

In order to reduce the fuel consumption and emissions of automobile, the engine idle speed control method was studied. The basic concept of engine idle speed and the requirements and strategies of idle speed control were introduced, and the features and structures of CAN bus technology were analyzed. An idle speed control system of automobile engine based on CAN bus was designed which included main control module, front control module and rear control module. The overall structure, hardware design and software implementation of the system were given. The system can realize the desired functions, and it has certain application value.

Control System Design of Climbing Robot Based on PLC and SCM

2015 ◽  
Vol 733 ◽  
pp. 652-655 ◽  
Author(s):  
Dan Dan Zhang
Keyword(s):  
Control System ◽  
Control Method ◽  
The Other ◽  
Control System Design ◽  
Climbing Robot ◽  
Structure Control ◽  
Pid Algorithm ◽  
The Core ◽  
Tower Structure ◽  
Function Module

High voltage tower climbing robot is mainly used to climb all kinds of tower structure, control system mainly has two aspects, one is the chip microcomputer detecting control system using PIC16F877A as the controller; the other is the total control system used to coordinate various parts of sub function module using the PLC controller as the core. This module control method can improve the efficiency of the whole control system. In addition, the PID algorithm of SIEMENS S7-200PLC is used in catching control, which makes control system more stable and efficient.

scholarly journals Hardware-in-the-loop simulation of high-speed maglev transportation five-segment propulsion system based on dSPACE

2018 ◽  
Vol 4 (2) ◽  
pp. 62-72
Author(s):  
Feng Qin ◽  
Ying Lin ◽  
Diqiang Lu
Keyword(s):  
Control System ◽  
Real Time ◽  
High Power ◽  
High Speed ◽  
Power Converter ◽  
Simulation System ◽  
Hardware In The Loop ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Propulsion Control

Aim: For exploring and testing the key technology of high-speed maglev transportation propulsion control system, this paper designs and establishes a hardware-in-the-loop (HIL) real-time simulation system of the high-speed maglev transportation five-segment propulsion system. Materials and methods of the studies: According to the route conditions and propulsion segment division of Shanghai maglev demonstration and operation line, the real-time simulation platform based on dSPACE multiprocessor systems is implemented. The simulation system can achieve the functional simulation of all the high-power related equipment in the 5-segment area, including 8 sets of high-power converter units, 2 sets of medium-power converter units, 2 sets of low-power converter units, five-segment trackside switch stations and long-stator linear synchronous motors. The mathematical models of linear motors and converters are built in MATLAB/Simulink and System Generator, after compiling, they can be downloaded and executed in Field Programmable Logic Array (FPGA). All the interfaces connecting the simulation system to the propulsion control system physical equipment use real physical components as in the field, such as analog I/O, digital I/O, optical signals and Profibus. Results: By using CPU+FPGA hardware configuration, the simulation steps are greatly shortened and the response speed and accuracy of real-time simulation system are improved. The simulation system can simulate multiple operating modes such as multi-segment, multi-vehicle, double-track, double-feeding, step-by-step stator section changeover, and so on. The simulation results show that the maximum speed of the simulation system can reach 500 km/h. Conclusion: This HIL system can provide detailed real-time on-line test and verification of high speed maglev propulsion control system.

scholarly journals Exploring the optimal design of computer control system for heating boilers in power plants

2020 ◽  
Vol 24 (5 Part B) ◽  
pp. 3269-3278
Author(s):  
Jia Mao ◽  
Qi Sun ◽  
Ju Wang
Keyword(s):  
Control System ◽  
Water Temperature ◽  
Power Plants ◽  
Computer Control ◽  
Exhaust Gas ◽  
Fuzzy Pid ◽  
Gas Temperature ◽  
Computer Control System ◽  
Pid Algorithm ◽  
Exhaust Gas Temperature

Objective: For stable and efficient control of the heating boilers in power plants, an improved Smith-fuzzy PID algorithm is used to optimize the computer control system for heating boilers. Methods: Under the computer control system, the pressure, exhaust gas temperature, water temperature, safety, and energy consumption of heating boilers are explored, thereby determining the optimization effect of the computer control system. Results: The improved Smith-fuzzy PID algorithm has the optimal control effect on water temperature and pressure of the heating boilers, with the highest balance and stability. In comparison, the fluctuations in temperature control curves under Smith-PID and PID algorithms are large. Compared with the exhaust gas temperature of the other two algorithm systems, the exhaust gas temperature of the improved Smith-fuzzy PID algorithm-based computer system is reduced by 40 ?C, which decreases the consumption of coal resources. Conclusion: The improved Smith-fuzzy PID algorithm-based heating boiler computer control system has the most prominent effects on water temperature, pressure, and exhaust gas temperature. The designed system is accurate and reliable, satisfying the actual design requirements of computer control systems for heating boilers.

Position Sensorless Control Method for SRM Using Analog Circuit of Type-1 Control System

2017 ◽  
Vol 137 (8) ◽  
pp. 612-621
Author(s):  
Satoshi Sumita ◽  
Kenta Deguchi ◽  
Yoshitaka Iwaji
Keyword(s):  
Control System ◽  
Analog Circuit ◽  
Control Method ◽  
Sensorless Control ◽  
Position Sensorless

Multiple allocation algorithm based on machine vision for elevator group control system and simulation system design

2009 ◽  
Vol 29 (8) ◽  
pp. 2285-2287 ◽  
Author(s):  
Ling ZHONG ◽  
Yun ZHANG ◽  
Ling-ling YANG ◽  
Qi-jie ZENG ◽  
Yong-hui HUANG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
System Design ◽  
Simulation System ◽  
Allocation Algorithm ◽  
Group Control ◽  
Multiple Allocation ◽  
Elevator Group Control

Control of coagulation process by dual wavelength article analyzer

1997 ◽  
Vol 36 (4) ◽  
pp. 135-142 ◽  
Author(s):  
Norihito Tambo ◽  
Yoshihiko Matsui ◽  
Ken-ichi Kurotani ◽  
Masakazu Kubota ◽  
Hirohide Akiyama ◽  
...  
Keyword(s):  
Water Quality ◽  
Control System ◽  
Predictive Control ◽  
Control Method ◽  
Feedforward Control ◽  
Raw Water ◽  
Floc Size ◽  
Coagulation Process ◽  
Series Of Experiments ◽  
Size Data

A coagulation process for water purification plants mainly uses feedforward control based on raw water quality and empirical data and requires operator's help. We developed a new floc sensor for measuring floc size in a flush mixer to be used for floc control. A control system using model predictive control was developed on the floc size data. A series of experiments was performed to confirm controllability of settled water quality by controlling flush mixer floc size. An automatic control with feedback from the coagulation process was evaluated as practical and reliable. Finally this new control method was applied for actual plant and evaluated as practical.

scholarly journals Robust Position Control of an Over-actuated Underwater Vehicle under Model Uncertainties and Ocean Current Effects Using Dynamic Sliding Mode Surface and Optimal Allocation Control

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 747
Author(s):  
Mai The Vu ◽  
Tat-Hien Le ◽  
Ha Le Nhu Ngoc Thanh ◽  
Tuan-Tu Huynh ◽  
Mien Van ◽  
...  
Keyword(s):  
Control System ◽  
Motion Control ◽  
Optimal Allocation ◽  
Position Control ◽  
Sliding Mode ◽  
Underwater Vehicle ◽  
Ocean Current ◽  
Model Uncertainties ◽  
Control Module ◽  
Dynamic Sliding Mode

Underwater vehicles (UVs) are subjected to various environmental disturbances due to ocean currents, propulsion systems, and un-modeled disturbances. In practice, it is very challenging to design a control system to maintain UVs stayed at the desired static position permanently under these conditions. Therefore, in this study, a nonlinear dynamics and robust positioning control of the over-actuated autonomous underwater vehicle (AUV) under the effects of ocean current and model uncertainties are presented. First, a motion equation of the over-actuated AUV under the effects of ocean current disturbances is established, and a trajectory generation of the over-actuated AUV heading angle is constructed based on the line of sight (LOS) algorithm. Second, a dynamic positioning (DP) control system based on motion control and an allocation control is proposed. For this, motion control of the over-actuated AUV based on the dynamic sliding mode control (DSMC) theory is adopted to improve the system robustness under the effects of the ocean current and model uncertainties. In addition, the stability of the system is proved based on Lyapunov criteria. Then, using the generalized forces generated from the motion control module, two different methods for optimal allocation control module: the least square (LS) method and quadratic programming (QP) method are developed to distribute a proper thrust to each thruster of the over-actuated AUV. Simulation studies are conducted to examine the effectiveness and robustness of the proposed DP controller. The results show that the proposed DP controller using the QP algorithm provides higher stability with smaller steady-state error and stronger robustness.

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