scholarly journals Tracking control and robustness study of shifting process

2018 ◽  
Vol 46 (2) ◽  
pp. 99-106
Author(s):  
Xin-xin Zhao ◽  
Chao Guan
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Tracking Control ◽  
Pid Controller ◽  
Automatic Transmission ◽  
Good Control ◽  
Simulation Software ◽  
Control Effect ◽  
Engine Torque ◽  
Shift Quality

Heavy dump vehicles are usually working with big load changes and bad work environment, thus change the friction performance of transmission clutches, as well as great affect the shift quality seriously, which influence the vehicle performance. Many researchers developed a lot to design a useful automatic transmission control system. Using PID tracking control and Monte Carlo method, the controller based on an dynamic model was set up to analyze the shifting process of automatic transmission and its robustness in this paper．The shift process was divided into four stages, low-gear phase, torque phase, inertia phase and high-gear phase. The model presents the process from the first gear to the second gear when the torque has big change．Since the jerk and the friction work of clutch are both related to the speed of clutch which was easier to control, it was chose as the target to control the oil pressure for satisfying the requirement of shift quality．The simulation software, Maplesim and Simulink, were used to build the vehicle model and shifting controller for simulation under different working conditions, and the maximum jerk was changed from 34 m/s3 to 12 m/s3 after the optimization. In this paper the Monte Carlo has been used to quantize and evaluate the robustness of the closed-loop system for the friction coefficients and output torque of turbine variation leading by the friction feature parameters and throttle angle changed. Monte Carlo method was used to analyze the effectiveness and robustness of PID controller, which proves that it has good control effect when the throttle is ongoing minor fluctuations. When the throttle is full opening, a quadratic optimal controller based on disturbance is designed by the method of multi-objective optimization. When it changes within 20 percent, PID controller was designed under the guidance of tracking thoughts. The results also show that the controller could still obtain better effect when the friction coefficient ranged from -40 % to 40 % as well as engine torque changed from -20 % to 20 %, which indicates the robustness of controller.

Design of Fuzzy PID Controller for Water Level of Boiler Steam Drum Based on DSP

2011 ◽  
Vol 130-134 ◽  
pp. 3455-3458
Author(s):  
Yuan Fang Xin
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Water Level ◽  
Pid Controller ◽  
Good Control ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Controller ◽  
Steam Drum ◽  
Pid Arithmetic

A control system for water level of boiler steam drum based on DSP microprocessor is designed in this paper. The technique of fuzzy control was applied to controlling the water level of the steam drum, the operational principle and application of the fuzzy-PID arithmetic are described. The water level controller with good control effect is developed. Firstly the hardware structure of system is introduced in the paper and then investigates the fuzzy-PID arithmetic carry out, and finally, the simplified program flowchart are given.

A Systematic Approach for Dynamic Analysis of Vehicles With Eight or More Speed Automatic Transmission

2014 ◽  
Vol 136 (5) ◽  
Author(s):  
Sangchul Lee ◽  
Yi Zhang ◽  
Dohoy Jung ◽  
Byungchan Lee
Keyword(s):  
Dynamic Behavior ◽  
Test Data ◽  
Performance Metrics ◽  
Automatic Transmission ◽  
Control Unit ◽  
Torque Converter ◽  
Fine Tuning ◽  
Transmission Control ◽  
Engine Torque ◽  
Shift Quality

In this study, a dynamic model of a vehicle with eight or more speed automatic transmission (A/T) has been developed for the analysis of shift quality and dynamic behavior of the vehicle during shift events. Subsystem models for engine, torque converter, automatic transmission, drivetrain, transmission control unit (TCU), and vehicle are developed and integrated with signal information interface. The subsystems included in the model were carefully selected to improve the accuracy of the model by comparing the simulation results with the test data. The systematic modeling approach based on matrix operation proposed in the study enables calibrating and fine-tuning the transmission control unit for shift quality in a virtual vehicle environment. The model presented in the study is validated with the vehicle test data and the comparison shows very good agreement. This paper presents a generalized modeling methodology for multiratio automatic transmissions that require both direct and indirect shifts. The model developed in the study provides a valuable analytical tool for the calibration and tuning of the transmission control unit by allowing quantitative analysis on the dynamic behavior and the performance metrics of an automatic transmission.

Regulation of PID Controller Parameters Based on Ant Colony Optimization Algorithm in Bending Control System

2011 ◽  
Vol 128-129 ◽  
pp. 205-210 ◽  
Author(s):  
Yu Zhen Yu ◽  
Xin Yi Ren ◽  
Chun Yan Deng ◽  
Jing Jing Yu ◽  
Shu Zhen Li ◽  
...  
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Ant Colony Algorithm ◽  
Control Method ◽  
External Disturbance ◽  
Good Control ◽  
Ant Colony ◽  
Ant Colony Optimization Algorithm ◽  
Control Effect ◽  
Dynamic Quality

The bending-roll control system has characteristics of time-varying, time-delay, nonlinearity and serious external disturbance, so it is hard to establish precise math model that be applied to control. In view of the problems above, ant colony algorithm is used to tuning parameters of PID controller and concrete step of PID parameters tuning based on ant colony algorithm is given. The simulation results indicate that the method not only improves control performance and dynamic quality, but also has strong self-adapting ability and robustness. It achieved a very good control effect when used in bending control system that proved the correctness and effectiveness of the control method.

The Main Steam Temperature Cascade PID Controller Parameters Tuning Optimization Based on Ant Colony Algorithm

2012 ◽  
Vol 239-240 ◽  
pp. 1442-1447
Author(s):  
Ji Ming Hu ◽  
Qing Shan Ji
Keyword(s):  
Pid Controller ◽  
Ant Colony Algorithm ◽  
Good Control ◽  
Absolute Error ◽  
Ant Colony ◽  
Steam Temperature ◽  
Control Effect ◽  
Tuning Method ◽  
Multiple Parameters ◽  
Main Steam

The main steam temperature of the boiler adopted usually a cascade PID control. Traditional PID parameter engineering tuning method has a very high demand for the control personnel. And the control loop of inner and outer ring interacted. Adjusting wasted the time and labor, and the control effects were difficult to achieve the optimal. Adopting the ant colony algorithm can optimize Cascade PID controller parameters. A combination of multiple parameters was the ant colony's foraging path, and the moment integral of absolute error was the optimization objective function, through the simulation for an ant foraging process, the optimal combination of parameters was identified. The simulation results showed that the main steam temperature cascade PID controller based on ant colony algorithm has good control effect.

WNN Optimizing PID Controller for BLDC Control System

2013 ◽  
Vol 278-280 ◽  
pp. 1529-1532
Author(s):  
Hong Pei Han ◽  
Wu Wang
Keyword(s):  
Neural Network ◽  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
High Efficiency ◽  
Good Control ◽  
Industrial Applications ◽  
Wavelet Neural Network ◽  
Control Effect ◽  
Pid Tuning

Brushless DC motors (BLDC) are widely used for many industrial applications because of their high efficiency, high torque and low volume. This paper presents the PID control for BLDC Motor, because good control effect cannot be acquired by using the traditional PID control in the non-linear variable time servomechanism and it is difficult to tune the parameters and get satisfied control characteristics, some intelligent techniques should be taken. Wavelet Neural Network (WNN) was constrictive and fluctuant of wavelet transform and has self-study, self adjustment and nonlinear mapping functions of neural networks, So, a wavelet neural network self-tuning proportional-integral-derivative (PID) controller was proposed. The structure of WNN and PID tuning with WNN was presented and the equivalent circuit of BLDC and its mathematical models was analyzed, the simulation was taken with new method, the efficiency and advantages of this control strategy was successfully demonstrated which can applied into BLDC control system.

PID Parameter Optimization Based on Fuzzy Control

2014 ◽  
Vol 960-961 ◽  
pp. 1156-1161 ◽  
Author(s):  
Wen Wen Chen ◽  
You Kuan Liu ◽  
Xiang Yu Tan ◽  
Jian Ping Sun ◽  
Shao Quan Zhang ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Thermal Power ◽  
Industrial Process ◽  
Good Control ◽  
Parameter Tuning ◽  
Control Effect ◽  
Long Time ◽  
Effect Parameter

PID controllers are widely used in industrial process control. The determination of the conventional PID controller parameter tuning is based on obtaining the mathematical model of controlled objects and according to certain rules, which is difficult to adapt to complex control systems. In this paper ,against its adverse effect parameter tuning, long time debugging, defects and poor adaptability of the controlled object,the fuzzy control and PID control are combined and the fuzzy PID controller is proposed. Then, I combine the examples of thermal power units using MATLAB to simulate. The simulation results show that the fuzzy self-tuning PID controller not only has the advantages of fuzzy control such as fast, adaptability, etc, but also the characteristics of high accuracy PID control, which make the system has a good control effect.

Fuzzy Self-Tuning PID Control of the Main Drive System for Four-High Hot Rolling Mill

2015 ◽  
Vol 14 (01) ◽  
pp. 11-22 ◽  
Author(s):  
Liping Fan ◽  
Yi Liu
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Design Method ◽  
Good Control ◽  
Drive System ◽  
Motor Speed ◽  
Control Effect ◽  
Whole Process ◽  
Current Controller ◽  
Main Drive System

The main drive system used for four-high mill is usually a double closed-loop DC motor speed regulating system. Generally, the speed controller and current controller are proportional-integral-derivative (PID) controllers. The parameters of these controllers are usually determined by the engineering design method and are constant in the whole process. So the controllers can give good control effect in the rated operating condition. Once disturbance occurs, the control effects are often just passable. In this paper, fuzzy logic is used to adjust the parameters of the speed PID controller to improve the disturbance rejection ability. Simulation results show that the fuzzy tuning PID controller can give better control effect than the regular designed PID control.

scholarly journals Shift Quality Analysis of Heavy-Duty Vehicle Automatic Transmission Shift Control Valve

2015 ◽  
Vol 9 (1) ◽  
pp. 333-338 ◽  
Author(s):  
Ma Wenxing ◽  
Zhang Yan ◽  
Wang Ruoyang ◽  
Lu Xiuquan
Keyword(s):  
Automatic Transmission ◽  
Solenoid Valve ◽  
Simulation Software ◽  
Quality Analysis ◽  
Bench Test ◽  
Heavy Duty ◽  
Shift Quality ◽  
Shift Control ◽  
Heavy Duty Vehicle ◽  
Proportional Solenoid Valve

The structural concepts of Switch solenoid valve and proportional solenoid valve were proposed for the hydraulic shift control system of some hydrodynamic mechanical automatic transmissions. Shift oil pressure of stationary combination valve and proportional solenoid valve was modeled, simulated, contrasted and analyzed by dynamic simulation software in order to study the shift quality of heavy-duty vehicle automatic transmission. The results show that proportional solenoid valve is better to control the characteristic of shift oil pressure, reduce shift shock, improve shift quality and comfort than stationary combination valve. The correctness and validity of the model were verified through bench test, which reflected the dynamic characteristics of shift oil pressure of hydrodynamic mechanical automatic transmission. The results can be used to match the performance and predict heavy-duty vehicle shifting process, and to further lay the foundation for the enhancement of shift performance of the system.

Application and Implementation of Monte Carlo Method in Mechanical Engineering

2010 ◽  
Vol 26-28 ◽  
pp. 925-930
Author(s):  
Guo Qiang Chen ◽  
Jun Wei Zhao
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Mechanical Engineering ◽  
Random Number ◽  
Random Number Generator ◽  
Random Number Generation ◽  
Tolerance Analysis ◽  
Simulation Software ◽  
Development Environment

As a powerful tool for scientific research, Monte Carlo simulation has been utilized widely in mechanical engineering for a long time. The paper reviews the application in statistical tolerance analysis, reliability design and analysis, uncertainty analysis in mechanical measurement, robot error, position and attitude analysis, and optimum design. The implementation of Monte Carlo method is also discussed and classified into three types: using Monte Carlo simulation software directly, programming in the development environment with random number generator, and programming from the basic random number generation. Finally, the authors points out using Monte Carlo software directly is recommend because the engineer needn’t concern the detail of the complex computation and can pay more attention to the purpose of the mechanical application.

A Variable Speed Control Hydraulic System Based on BP Neural Network PID Controller

2011 ◽  
Vol 101-102 ◽  
pp. 439-442
Author(s):  
Fang Ping Huang ◽  
Tian Hao Peng
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Hydraulic System ◽  
Pid Controller ◽  
Good Control ◽  
Hydraulic Systems ◽  
Variable Speed ◽  
Control Effect ◽  
Research Results ◽  
Neural Network Pid

The variable speed hydraulic systems have many advantages, and research about this field in recent years has developed rapidly. In this paper, a variable speed hydraulic system is studied using BP Neural Network PID controller. The research results show that using BP Neural Network PID controller can achieve good control effect.

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