scholarly journals Research on Variable-Universe Fuzzy Control Technology of an Electro-Hydraulic Hitch System

Processes ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1920
Author(s):  
Jikang Xu ◽  
Ruichuan Li ◽  
Yanchao Li ◽  
Yisheng Zhang ◽  
Huilai Sun ◽  
...  
Keyword(s):  
Operating System ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Traction Force ◽  
Field Tests ◽  
Step Response ◽  
Variable Universe ◽  
Control Precision ◽  
Variable Universe Fuzzy Control ◽  
And Control

To improve the quality and control accuracy of the farming tractor electro-hydraulic hitch system, a variable-universe fuzzy control algorithm is introduced herein based on force–position mixed adjustment. (1) Background: This research sought to improve the operation quality and control precision of the tractor electro-hydraulic suspension operation system by solving the slow response and low precision problems in the target value control of the system. (2) Methods: According to the characteristics of the operating system, the working principle is discussed. The variable-universe fuzzy controller and the control module were designed based on MC9S12XS128. At the same time, we used Matlab/Simulink to study the step response, and field tests were carried out based on the existing test conditions. (3) Results: In the response stage, the variable-universe fuzzy control only needs 5.85 s, and there is no overshoot problem; in the normal tillage stage, the maximum tillage depth difference is only 1.6 cm, and the traction force is 428 N, which is closer to the expected value. (4) Conclusions: The farming quality and efficiency of the operating system were improved. Additionally, the operating system can also provide technical support for intelligent agricultural machinery and the field management mode in the future.

Electric Pitch Control System Based on Fuzzy Control with Variable Region

2012 ◽  
Vol 229-231 ◽  
pp. 2352-2356 ◽  
Author(s):  
Hai Ying Dong ◽  
Zhan Hong Wei ◽  
Xiang Gui Zhao ◽  
Xiao Qing Li
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Fuzzy Controller ◽  
Design Method ◽  
Variable Region ◽  
Expansion Factor ◽  
Pitch Control ◽  
Variable Universe ◽  
Variable Universe Fuzzy Control

Electric pitch control system has time-varying, nonlinear, large inertia, wind speed uncertainty characteristics. A fuzzy control design method of electric pitch control system based on variable universe is proposed. In this method, the variable region algorithm is applied to the speed control of the electric pitch control system. The adaptive fuzzy controller with variable universe of the speed loop for the electric pitch control system is designed by adopting optimized proportional exponential contraction-expansion factor and using S-Function. The simulation experiment of electric pitch control system is carried on, which builds the fuzzy controller with variable region. Compared with traditional PID control, the results show that electric pitch control system based on variable universe fuzzy control has the strong anti-interference performance and robustness.

Wire Tension Force Variable Universe Fuzzy Control in Fixed Abrasive Wire Saw Manufacturing

2014 ◽  
Vol 716-717 ◽  
pp. 658-661
Author(s):  
Wen Bo Bi ◽  
Pei Qi Ge ◽  
Yu Fei Gao
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Structural Characteristics ◽  
Stable Range ◽  
Variable Universe ◽  
Control Scheme ◽  
Wire Saw ◽  
Variable Universe Fuzzy Control ◽  
Force Variable ◽  
Fixed Abrasive Wire Saw

The structural characteristics of the tensioning device in the wire saw manufacturing equipment is introduced. Based on the characteristic of the strainer, the principle of variable universe fuzzy control is adopted to deal with the controlling objects. The design of two stage fuzzy controller and its parameters are discussed. The system simulation shows that the control scheme can make the tension within the stable range.

Variable universe fuzzy control of the lateral stability of forklift trucks based on roll grading

2021 ◽  
pp. 095440702110292
Author(s):  
Yang Zhang ◽  
Guang Xia ◽  
Xiwen Tang ◽  
Linfeng Zhao ◽  
Baoqun Sun
Keyword(s):  
Fuzzy Control ◽  
Control Strategy ◽  
Fuzzy Controller ◽  
Second Order ◽  
Prototype Model ◽  
Lateral Stability ◽  
First Order ◽  
Variable Universe ◽  
Forklift Truck ◽  
Variable Universe Fuzzy Control

Based on the structural analysis and the roll mechanisms of counterbalanced forklift truck, a novel type of 3-link hydraulic supporting mechanism is designed as an actuator for forklift anti-rollover control. A rollover grading control strategy of the lateral stability of counterbalanced forklift truck is proposed, which is used to design a variable universe fuzzy controller. The variable universe fuzzy control of the first-order roll is utilized when the forklift is in the first-order roll, whereas the variable universe fuzzy control of the second-order is used when the forklift is in the second-order roll. A virtual prototype model of forklift is built in Automatic Dynamic Analysis of Mechanical Systems (ADAMS). The co-simulations and vehicle tests are implemented, the results indicate that the lateral stability and active security of the forklift could be improved effectively by using the variable universe fuzzy control strategy of the lateral stability of forklift truck based on roll grading.

Study of Fuzzy Control for Turbofan Engine Based on Improved Genetic Algorithms Optimization

2011 ◽  
Vol 148-149 ◽  
pp. 1072-1076
Author(s):  
Yu Hu ◽  
Yue Cheng Yang ◽  
Shi Ying Zhang ◽  
Xi Xing Yu
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Improved Genetic Algorithm ◽  
Control Effect ◽  
Component Level ◽  
Turbofan Engine ◽  
Control Precision ◽  
Level Model ◽  
Fuzzy Control Algorithm ◽  
Great Control

In the paper, the fuzzy control algorithm was studied in turbofan engine. The turbofan engine models of “little deflection” model and “large deflection” model were built based on component level model. Then, a fuzzy controller, including the fuzzy-integral mixed controller, smith forecast and compensation, was designed with the fuzzy rules were optimized by improved genetic algorithm. The simulation results show that the designed control system responds fast, has no overshoot or oscillation, and the control precision is high. The controller can effectively solve time delay influence with a great control effect for “little deflection” model and acceleration model.

Vibration Performance Optimization of the Semi-Active Suspension with Fuzzy Control Method

2012 ◽  
Vol 468-471 ◽  
pp. 1123-1127
Author(s):  
Jin Ning Zhi ◽  
Jian Wei Yang ◽  
Jun Zhe Dong
Keyword(s):  
Fuzzy Control ◽  
Dynamic Load ◽  
Performance Optimization ◽  
Ride Comfort ◽  
Control Method ◽  
Heavy Vehicle ◽  
Variable Universe ◽  
Suspension Parameters ◽  
Variable Universe Fuzzy Control ◽  
Five Axis

In order to improve the dynamic performance of five-axis heavy vehicle, a variable universe fuzzy control method is proposed to optimize suspension parameters. Five-axis multi-body dynamic model including electro-hydraulic proportional valve was firstly established in software ADAMS/Car. The variable universe fuzzy controller based on fuzzy neural network was also designed in MATLAB/Simulink, and then the co-simulation was conducted. The dynamic characteristics of five-axis heavy vehicle are studied to verify the effect of suspension parameters optimized by variable universe fuzzy control method in the A, B and C-level random pavement and different speed conditions. Simulation results show that compared with passive suspension, the real-time optimization of variable fuzzy control based on FNN can improve the ride comfort and the dynamic load of tire. Under different driving conditions, ride comfort can be increased by about 25%-30%, and the dynamic load of tire generally decreases by 25%-35%. Therefore this method has a certain practicability and effectiveness.

scholarly journals The Motion Path Study of Measuring Robot Based on Variable Universe Fuzzy Control

2017 ◽  
Vol 95 ◽  
pp. 08011
Author(s):  
Guoqing Ma ◽  
Zhenglin Yu ◽  
Guohua Cao ◽  
Ruoyan Zhang ◽  
Yanbin Zheng
Keyword(s):  
Fuzzy Control ◽  
Motion Path ◽  
Variable Universe ◽  
Variable Universe Fuzzy Control
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