scholarly journals Wheel Deflection Control of Agricultural Vehicles with Four-Wheel Independent Omnidirectional Steering

Actuators ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 334
Author(s):  
Qimeng Xu ◽  
Hongwen Li ◽  
Quanyu Wang ◽  
Chunlei Wang
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Working Environment ◽  
Dynamics Simulation ◽  
Response Analysis ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Lateral Deviation ◽  
Agricultural Vehicles ◽  
Steering Mechanism

Due to the Fharsh working environment of wheeled agricultural vehicles in the field, it is difficult to ensure that all wheels make contact with the ground at the same time, which is easy to unequally distribute the yaw moments of each independent wheel. The commonly used vehicle lateral control methods are mostly controlled by coordinating the individual torque between different wheels. Obviously, this control method is not suitable for agricultural four-wheeled vehicles. The goal of this study was to provide a wheel steering angle control method that uses electric push rods as actuators that can cope with this problem. The design of a four-wheel steering controller generally adopts the linear PID control method, but the research object of this paper is difficult to establish an accurate and linear mathematical model due to the complex working environment. Therefore, fuzzy adjustment is added on the basis of PID control, which can meet the requirements of model difficulty and control accuracy at the same time. In order to verify the feasibility and rationality of the designed wheel steering mechanism, the model dynamics simulation based on ADAMS software and the response analysis of the electric linear actuator thrust were completed. Based on the kinematics model of the controlled object, the rotation angle of the actuator motor is used as the control target, the lateral deviation e and deviation variation ec are taken as input variables and the parameters KP, KI and KD are taken as output variables, thereby establishing a fuzzy PID controller. Then, this controller is constructed in the Matlab/ Simulink simulation environment to analyze the lateral deviation and response stability during the process of vehicle path tracking. From the verification results of the linear path walking test under the fuzzy PID control method, the maximum lateral deviation of vehicle chassis is 2.7 cm when the driving speed is set as 1 m/s, and the deviation adjustment stable time of the system is 0.15 s. It can be seen that the proposed steering control strategy has good response performance and effectively increases the steering stability.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

scholarly journals Research on Intelligent Control System of Thermal Print Head Based on FPGA

2021 ◽  
Author(s):  
Yang Xu ◽  
Sheng Wang ◽  
Ying Peng
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Print Quality ◽  
Fuzzy Pid ◽  
Single Chip ◽  
Fuzzy Pid Control ◽  
Print Head ◽  
Field Programmable ◽  
Time Required

Thermal print head heating realtime temperature fluctuations are too large, often causing damage to the print head heating point, resulting in poor print quality and unsatisfactory print results. Therefore, in order to improve the stability of the thermal print head during printing, and at the same time solve the inefficiency of the traditional single chip microcomputer control of the thermal print head heating method, a field programmable gate array (FPGA) based thermal print head heating control method is proposed. In order to control the core, the intelligent fuzzy PID control algorithm is used to ensure that the temperature of the print head can be stabilized quickly. Through simulation and experimental verification, it is shown that the intelligent fuzzy PID control algorithm greatly improves the temperature stabilization effect, and the time required to reach stability short, not only improve the printing accuracy, but also extend the life of the print head.

The Improvement of Anti-Surge Control on Air Separation Compressor

2011 ◽  
Vol 383-390 ◽  
pp. 2991-2995
Author(s):  
Chang Hong Jiang ◽  
Shao Zhong Lu ◽  
Lian Fang Liu
Keyword(s):  
Least Squares ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Regression Equation ◽  
Air Separation ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Compressor Surge ◽  
Surge Control

This paper mainly describes the reasons for compressor surge and damage, and provide the traditional control method, which can not meet the growing needs, the improved control method, which according to the data using least squares curve to determine surge control regression equation and make the compressor operate safely by using the fuzzy PID control algorithm on the parameter adjustment.

scholarly journals A Micro-Force-Tracking System Based on PVDF Static Micro-Force Sensor and Fuzzy-PID Control Method

2011 ◽  
Vol 2-3 ◽  
pp. 489-494
Author(s):  
Zhi Yong Sun ◽  
Wen Lin Chen ◽  
Yun Quan Su ◽  
Li Na Hao
Keyword(s):  
Pid Control ◽  
Polyvinylidene Fluoride ◽  
Control Method ◽  
Tracking System ◽  
Force Sensor ◽  
Fuzzy Pid ◽  
Sensing Element ◽  
Fuzzy Pid Control ◽  
Force Tracking ◽  
Micro Force Sensor

This article is intended to design a static micro-force sensor with a simple structure employing the polymer material PVDF (polyvinylidene fluoride) film as its sensing element, and will carry out some micro-force tracking tests. During the tracking tests, this paper employs a Fuzzy-PID control method and an ordinary PD control method to control the system, and will also analyze the results of them.

Variable Universe Fuzzy PID Control for Minimally Invasive Operation Robotic Catheter System

2014 ◽  
Vol 618 ◽  
pp. 470-474
Author(s):  
Jing Bo Shi
Keyword(s):  
Minimally Invasive ◽  
Pid Control ◽  
Control Method ◽  
Response Speed ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fast Tracking ◽  
Variable Universe ◽  
Control Precision ◽  
Minimally Invasive Operation

Robotic catheter minimally invasive operation requires control system of quick response, strong anti-jamming and real-time tracking of target trajectory. The contradiction between fuzzy PID control precision and its response speed limits its application in master-slave minimally invasive operation. The paper adopted variable universe fuzzy PID method to improve fuzzy PID method’s control precision without reducing the speed of response. The simulation results show that variable universe fuzzy PID control method has fast tracking performance and strong robustness, and it has feasibility and practicability in robotic catheter minimally invasive operation.

Dynamic Performance Experiment and Fuzzy PID Control Method Study on MRF Engine Mount

2012 ◽  
Vol 542-543 ◽  
pp. 675-678
Author(s):  
Suo Jun Hou ◽  
Wen Ku Shi ◽  
Mao Yang ◽  
Hai Sheng Li
Keyword(s):  
Pid Control ◽  
Degrees Of Freedom ◽  
Engine Speed ◽  
Control Method ◽  
Dynamic Performance ◽  
Low Frequency ◽  
The Body ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Engine Mount

A MRF fluid engine mount with controlled annular access, inertia track and decoupler is designed. Through the experiment it can be seen that the low frequency performance of the mount is greatly improved. Then the dynamic low frequency performance of the mount using the fuzzy PID control method of two degrees-of-freedom system in different engine speed is simulated and the results show that the fuzzy PID control method is effective to reduce the body acceleration.

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