scholarly journals Optimization control actions on electropneumatic valve of actuator of clutch control

2021 ◽  
pp. 128-135
Author(s):  
Mykola Mykhalevych
Keyword(s):  
Control System ◽  
Pressure Drop ◽  
Ambient Temperature ◽  
Supply Voltage ◽  
Optimization Method ◽  
Response Surfaces ◽  
Solenoid Valve ◽  
Control Pulse ◽  
Clutch Control ◽  
Electropneumatic Valve

Electropneumatic valves are a key element of the electropneumatic clutch control system for vehicles of categories N3 and M3. The speed and accuracy of the clutch control system depend on their parameters. When the operating conditions of the solenoid valve change, its initial parameters also change, even before the loss of serviceability. Goal. The goal of the work is to form dependencies that determine the parameters of the control signal for the clutch control system of vehicles of categories M3 and N3 in the conditions of change of supply voltage, pressure drop on the valve and ambient temperature. Methodology. To achieve this goal, an advanced mathematical model and onedimensional optimization method were used to determine the optimal control effect on the electropneumatic valve of the clutch control system. Results. The block diagram of the control pulse in different modes of operation of the electropneumatic clutch control system is given. Based on the calculated data, the characteristic areas of operation of the electropneumatic valve are determined and the purpose for the optimization process is determined. Based on the defined range of data change and the accuracy of finding the optimal value, a rational optimization method is determined. By modeling the operation of the solenoid valve with parameters according to the chosen optimization method, the response surfaces were constructed relative to the control pulse depending on such parameters as supply voltage of the vehicle onboard network, ambient temperature and pressure drop on the solenoid valve. Originality. The error in the reproduction of the theoretical response surfaces based on the parameters of the clutch and the electronic control unit is also determined. Theoretical aspects for providing the required inductance of the solenoid valve coil are shown. Practical value. A method for determining the pressure drop on an electropneumatic valve is proposed. The method takes into account the change in pressure during operation of the clutch control system due to wear of the friction plate. The error in ensuring the duration of the control pulse due to the presence of hysteresis in the operation of the clutch and the executive control device is estimated.

Research of the Inductive Sensor of the Electropneumatic Clutch Control System for the Mechanical Transmission at Change of Ambient Temperature

2021 ◽  
Author(s):  
Mykola Grygorovych Mikhalevich ◽  
Dziubenko Oleksandr ◽  
Dmitry Leontiev ◽  
Viktor Bogomolov ◽  
Valeriy Klimenko ◽  
...  
Keyword(s):  
Control System ◽  
Ambient Temperature ◽  
Mechanical Transmission ◽  
Inductive Sensor ◽  
Clutch Control

scholarly journals FEATURES OF CONTROLLING ELECTROPNEUMATIC VALVES OF ACTUATOR TO CONTROL ITS CLUTCH WITH ACCELERATION VALVE

2018 ◽  
Vol 17 (1) ◽  
pp. 64-71 ◽  
Author(s):  
O. A. Yaryta ◽  
M. G. Mychalevych ◽  
D. N. Leontiev ◽  
V. I. Klymenko ◽  
V. A. Bogomolov ◽  
...  
Keyword(s):  
Control System ◽  
Power Supply ◽  
Control Algorithm ◽  
Pulse Width Modulation ◽  
Solenoid Valve ◽  
Excess Pressure ◽  
Pneumatic Cylinder ◽  
Quantitative Characteristics ◽  
Clutch Control ◽  
Single Power

The article deals with one of the ways to control an actuator of the automated clutch control system. The aim is to design control of the electropneumatic actuator, to control its coupling with the acceleration valve on the basis of experimental research as well as to provide rational parameters of the automated clutch control system for the robotic transmission. The feature of the system is an acceleration valve in the design of the electropneumatic actuator to control the clutch. New links demand to adjust the way to control the actuator. The connection of Pulse-Width Modulation (PWM) with single power supply pulses to control electropneumatic valves is substantiated. The quantitative characteristics of single control pulses and PWM ones are determined. The error of operation accuracy for various ways of the control of the electropneumatic actuator to control the clutch of the robotic transmission is determined. Obtained separate PWM area is designed to suppress the initial hysteresis when the rod of the clutch actuator is moved. An algorithm for the operation of a clutch control system is proposed, taking into account the use of two modes of operation of solenoid valves. A graphical interpretation of the clutch control algorithm is presented, which gives an idea of the location of the constant signal feeding zones to the solenoid valve, as well as the operation areas of the solenoid valve in PWM mode. The control algorithm of the clutch booster provides a mode of guaranteed absence of excess pressure in the pneumatic cylinder after releasing the clutch pedal, provided that two normally closed solenoid valves are used. This configuration of the electro-pneumatic clutch control system allows the use of an emergency clutch release system in case of voltage absence. The reference algorithm for filtering the array of data coming from the feedback sensor, as well as the numerical values of the delay caused by the presence of a filter, are given.

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

scholarly journals Decentralized Optimization for a Novel Control Structure of HVAC System

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Shiqiang Wang ◽  
Jianchun Xing ◽  
Ziyan Jiang ◽  
Juelong Li
Keyword(s):  
Control System ◽  
Decentralized Control ◽  
Control Structure ◽  
Optimization Method ◽  
Labor Cost ◽  
Smart Device ◽  
Hvac System ◽  
Decentralized Optimization ◽  
System A ◽  
Novel Method

A decentralized control structure is introduced into the heating, ventilation, and air conditioning (HVAC) system to solve the high maintenance and labor cost problem in actual engineering. Based on this new control system, a decentralized optimization method is presented for sensor fault repair and optimal group control of HVAC equipment. Convergence property of the novel method is theoretically analyzed considering both convex and nonconvex systems with constraints. In this decentralized control system, traditional device is fitted with a control chip such that it becomes a smart device. The smart device can communicate and operate collaboratively with the other devices to accomplish some designated tasks. The effectiveness of the presented method is verified by simulations and hardware tests.

scholarly journals SIMULATION OF THE AUTOMATIC CLUTCH CONTROL SYSTEM

2017 ◽  
Vol 0 (41) ◽  
pp. 49
Author(s):  
V. Klimenko ◽  
M. Michalevich ◽  
D. Leontiev ◽  
A. Yarita ◽  
U. Ryabukha
Keyword(s):  
Control System ◽  
Clutch Control

scholarly journals A Numerical Model for Investigating the Steam Conformance along the Dual-String Horizontal Wells in SAGD Operations

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3981
Author(s):  
Peng Li ◽  
Yanyu Zhang ◽  
Xiaofei Sun ◽  
Huijuan Chen ◽  
Yang Liu
Keyword(s):  
Pressure Drop ◽  
Horizontal Wells ◽  
Pressure Profile ◽  
Steam Injection ◽  
Steam Pressure ◽  
Optimization Method ◽  
Injection Time ◽  
Reservoir Model ◽  
Landing Position ◽  
Steam Chamber

Non-uniformity of the steam-assisted gravity drainage (SAGD) steam chamber significantly decreases the development of heavy oil reservoirs. In this study, to investigate the steam conformance in SAGD operations, a wellbore model is developed for fluid flow in dual-string horizontal wells. Then, a three-dimensional, three-phase reservoir model is presented. Next, the coupled wellbore and reservoir model is solved with a fully implicit finite difference method. Finally, the effects of the injector wellbore configuration, steam injection ratio and injection time on the steam conformance are investigated. The results indicate that under different injector wellbore configurations, the closer the differences between the pressure drop from the landing position of the short string to the heel of the wellbore and the pressure drop from the landing position of the short string to the toe of the wellbore, the better is the steam conformance. The smaller the difference in the steam injection rate between the long and short injection strings, the higher is the uniformity of the steam chamber. The injector annular pressure profile uniformity is consistent with the steam conformance. Creating a more uniform steam pressure in the annulus of the injector improves the uniformity of the steam chamber. The steam conformance decreases with increasing injection time, so the optimization method of steam chamber uniformity should be adjusted according to different injection times.

Research on Automatic Tape Vulcanizing Tank Hoisting Manipulator Based on PLC

2013 ◽  
Vol 373-375 ◽  
pp. 271-274
Author(s):  
Xiao Bin Pan ◽  
Yong Tao Li ◽  
Rong Zhou
Keyword(s):  
Control System ◽  
Solenoid Valve ◽  
Frequency Converters ◽  
The Core

In this paper, an automatic tape vulcanizing tank hoisting manipulator is designed to improve the accuracy and the efficiency in tape vulcanization. The hoisting manipulators control system takes Siemens S7-200 PLC as the core. By controlling two frequency converters and a solenoid valve, the hoisting manipulator not only movs along the Y-axis and Z-axis also clamps the vulcanizing mold. In addition, the hoisting manipulator communicates with the vulcanizing tank through PC / PPI bus and the RS232/485 interface port on PLC, achieving linkage production.

scholarly journals Model Predictive Control via Output Feedback Neural Network for Improved Multi-Window Greenhouse Ventilation Control

Sensors ◽  
2020 ◽  
Vol 20 (6) ◽  
pp. 1756
Author(s):  
Dae-Hyun Jung ◽  
Hak-Jin Kim ◽  
Joon Yong Kim ◽  
Taek Sung Lee ◽  
Soo Hyun Park
Keyword(s):  
Neural Network ◽  
Control System ◽  
Output Feedback ◽  
Optimization Method ◽  
Control Logic ◽  
Ventilation Control ◽  
Window Opening ◽  
Accurate Performance ◽  
Feedback Neural Network ◽  
Comparison Of The Results

Maintaining environmental conditions for proper plant growth in greenhouses requires managing a variety of factors; ventilation is particularly important because inside temperatures can rise rapidly in warm climates. The structure of the window installed in a greenhouse is very diverse, and it is difficult to identify the characteristics that affect the temperature inside the greenhouse when multiple windows are driven, respectively. In this study, a new ventilation control logic using an output feedback neural-network (OFNN) prediction and optimization method was developed, and this approach was tested in multi-window greenhouses used for strawberry production. The developed prediction model used 15 inputs and achieved a highly accurate performance (R2 of 0.94). In addition, the method using an algorithm based on an OFNN was proposed for optimizing considered six window-opening behavior. Three case studies confirmed the optimization performance of OFNN in the nonlinear model and verified the performance through simulations. Finally, a control system based on this logic was used in a field experiment for six days by comparing two greenhouses driven by conventional control logic and the developed control logic; a comparison of the results showed RMSEs of 3.01 °C and 2.45 °C, respectively. It confirmed the improved control performance in comparison to a conventional ventilation control system.

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