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

Author(s):  
Yang Zhang ◽  
Guang Xia ◽  
Xiwen Tang ◽  
Linfeng Zhao ◽  
Baoqun Sun

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.

2011 ◽  
Vol 130-134 ◽  
pp. 1418-1421
Author(s):  
Guang Xia ◽  
Wu Wei Chen ◽  
Xi Wen Tang ◽  
Qi Ming Wang

Considering the non-linear property of the magneto-rheological damper and the low accuracy of the traditional fuzzy control, this paper introduces a semi-active magneto-rheological damper controller which is based on the improved variable universe fuzzy control strategy and conducts a simulation of it. Next, it analyzes the damping effect of the passive suspension and the semi-active suspension. As indicated by the results, the use of the advanced variable universe fuzzy control strategy can effectively improve the ride and comfort of an automobile, and it serves as a reference for the further theoretical researches and sample vehicle experiments in the future.


2012 ◽  
Vol 229-231 ◽  
pp. 2352-2356 ◽  
Author(s):  
Hai Ying Dong ◽  
Zhan Hong Wei ◽  
Xiang Gui Zhao ◽  
Xiao Qing Li

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.


2014 ◽  
Vol 716-717 ◽  
pp. 658-661
Author(s):  
Wen Bo Bi ◽  
Pei Qi Ge ◽  
Yu Fei Gao

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.


Processes ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1920
Author(s):  
Jikang Xu ◽  
Ruichuan Li ◽  
Yanchao Li ◽  
Yisheng Zhang ◽  
Huilai Sun ◽  
...  

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.


2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Xiliang Ma ◽  
Ruiqing Mao

Cold storage refrigeration systems possess the characteristics of multiple input and output and strong coupling, which brings challenges to the optimize control. To reduce the adverse effects of the coupling and improve the overall control performance of cold storage refrigeration systems, a control strategy with dynamic coupling compensation was studied. First, dynamic model of a cold storage refrigeration system was established based on the requirements of the control system. At the same time, the coupling between the components was studied. Second, to reduce the adverse effects of the coupling, a fuzzy controller with dynamic coupling compensation was designed. As for the fuzzy controller, a self-tuning fuzzy controller was served as the primary controller, and an adaptive neural network was adopted to compensate the dynamic coupling. Finally, the proposed control strategy was employed to the cold storage refrigeration system, and simulations were carried out in the condition of start-up, variable load, and variable degree of superheat, respectively. The simulation results verify the effectiveness of the fuzzy control method with dynamic coupling compensation.


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