scholarly journals Feedback in Automated Clutch Control Circuit for Truck Start-Up Process

2018 ◽  
Vol 17 (5) ◽  
pp. 421-431 ◽  
Author(s):  
Le Van Nghia

The paper presents description of a mechatronic control system for mechanical transmission of a 20-ton truck, as well as its adaptive start-up algorithm, transient process behavior which significantly affects durability of automated power unit elements, vehicle movement smoothness and driver’s comfort when driving. A multidisciplinary model of the mechatronic control system has been developed in the software package Imagine Lab AMESim because its power unit including a diesel engine, a dry frictional two-disc clutch, a main mechanical stepped gearbox and an additional gearbox has electrical components besides mechanical and pneumatic ones. The given model allows to test complex control algorithms and analyze the behavior of intelligent systems in the early designing stages. The research has been carried out on the basis of the test complex at Department “Automobiles”, Automotive and Tractor Faculty, Belarusian National Technical University. Research results confirm an adequacy of the AMESim developed multidisciplinary model. Feedback on the increment of an angular velocity difference between driving and driven parts of the friction clutch has been introduced for precise friction clutch control. Threshold values of a feedback parameter have been determined on the basis of the developed computer model and these values will be used for programming a microprocessor unit when implementing an adaptive algorithm for a truck start-up process

2013 ◽  
Vol 694-697 ◽  
pp. 2089-2093 ◽  
Author(s):  
Han Yu Jin ◽  
Xiu Sheng Cheng ◽  
Yong Dao Song

Engagement control of the clutch in the starting process is the core part and difficulty of the Automated Mechanical Transmission (AMT) control strategy, which was directly related to the clutch disc lifetime and riding. Engine speed, clutch speed and throttle angle are the only signals to develop clutch control strategy in the entire start-up process made by Transmission Control Unit (TCU) in a vehicle equip with AMT. The TCU even need to determine the driver's intention to select different control schemes. In this paper, fuzzy logic control was adopted in order to eliminate the impact of subtle change during driver operation, thus the start quality was optimized.


2018 ◽  
Author(s):  
Mykola Mikhalevich ◽  
Alexandr Yarita ◽  
Anatoliy Turenko ◽  
Dmitry Leontiev ◽  
Igor V. Gritsuk ◽  
...  

2021 ◽  
Author(s):  
Mykola Grygorovych Mikhalevich ◽  
Dziubenko Oleksandr ◽  
Dmitry Leontiev ◽  
Viktor Bogomolov ◽  
Valeriy Klimenko ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
pp. 26-32
Author(s):  
S. V. Kharytonchyk ◽  
V. A. Kusyak ◽  
Nghia Van Le

To ensure quality of dry friction clutch engagement in automated mechanical transmission during vehicle starting-up and maneuvering the control range of clutch actuator has to be maximum wide. It depends on the consistency of the clutch actuator geometric parameters with the electrical characteristics of the used solenoid valves, the output stage of the controller and the PWM control signal frequency. In addition to precision electronic control the driver must be able to “manually” operate the dry friction clutch in emergency. That is why friction clutch must have two independent control circuits. The original automated drive with a duplicate pneumohydraulic circuit for the friction clutch is presented in the paper, as well as the research results of the PWM frequency influence on operating range of the clutch pneumatic actuator. The research was based on the analysis of semi-natural experiment for assessing the functional performance of the designed automated mechatronic control system for the truck mechanical transmission. Ecomat R360 controllers were used as a hardware base of the test bench information control system. The developed software for the controller with one-parameter feedback on the clutch release lever movement allows to provide the PWM signal of varying duty ratio to the proportional solenoid valve of the automated drive. A graphical representation of the research results was performed with visualization possibilities of CoDeSys V2.3. During the semi-natural experiment, the polynomial dependence between variation of the clutch actuator control range and the generated PWM signal frequency in the range up to 400 Hz was revealed as well as practical recommendations on the choice of the optimum PWM signal frequency are also given in activity. The research results can be used in an adaptive control algorithm for automated mechanical transmission of trucks and road trains to ensure precise control of the clutch actuator in the starting-up and maneuvering processes.


2011 ◽  
Vol 148-149 ◽  
pp. 1149-1153
Author(s):  
Wu Chao Zhang ◽  
Yong Zhai

The clutch control is one of the cores and most difficult issues in the development of an AMT system. In this paper the pneumatic clutch engagement characteristic is analyzed. Thereto, a simulation model of an automotive powertrain comprises a diesel engine, drivetrain and wheels driving a vehicle through tire-road adhesion are built using Matlab/Simulink. In the simulation, a refined control law of constant engine speed in part process is proposed and tested. The engaging speed and displacement of the clutch vary with the accelerate paddle opening, engine speed, clutch driven plate speed and gears according the control law. Field experiment results show that the control strategy fulfills the system requirements.


2018 ◽  
Vol 10 (10) ◽  
pp. 3758 ◽  
Author(s):  
Shaobo Xie ◽  
Xiaosong Hu ◽  
Kun Lang ◽  
Shanwei Qi ◽  
Tong Liu

Pontryagin’s Minimum Principle (PMP) has a significant computational advantage over dynamic programming for energy management issues of hybrid electric vehicles. However, minimizing the total energy consumption for a plug-in hybrid electric vehicle based on PMP is not always a two-point boundary value problem (TPBVP), as the optimal solution of a powering mode will be either a pure-electric driving mode or a hybrid discharging mode, depending on the trip distance. In this paper, based on a plug-in hybrid electric truck (PHET) equipped with an automatic mechanical transmission (AMT), we propose an integrated control strategy to flexibly identify the optimal powering mode in accordance with different trip lengths, where an electric-only-mode decision module is incorporated into the TPBVP by judging the auxiliary power unit state and the final battery state-of-charge (SOC) level. For the hybrid mode, the PMP-based energy management problem is converted to a normal TPBVP and solved by using a shooting method. Moreover, the energy management for the plug-in hybrid electric truck with an AMT involves simultaneously optimizing the power distribution between the auxiliary power unit (APU) and the battery, as well as the gear-shifting choice. The simulation results with long- and short-distance scenarios indicate the flexibility of the PMP-based strategy. Furthermore, the proposed control strategy is compared with dynamic programming (DP) and a rule-based charge-depleting and charge-sustaining (CD-CS) strategy to evaluate its performance in terms of computational accuracy and time efficiency.


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