Drive Anti-slip Control Strategy Based on Multi-knowledge Base Fuzzy Control

2022 ◽  
pp. 907-923
Author(s):  
Long Wang ◽  
WeiChao Zhang ◽  
Qing Liu
Keyword(s):  
Fuzzy Control ◽  
Knowledge Base ◽  
Control Strategy ◽  
Slip Control

Research on Anti-Slip Differential Control for Two-Motor Independent Driven Vehicle

2013 ◽  
Vol 330 ◽  
pp. 615-618
Author(s):  
Cheng Lin ◽  
Zhi Feng Xu
Keyword(s):  
Control Strategy ◽  
Differential Effect ◽  
Differential Problem ◽  
Slip Control ◽  
Mechanical Connection ◽  
Simulation Results ◽  
Differential Control ◽  
Driving Torque ◽  
Self Adaptive

There is no mechanical connection between two driving motors of two-motor independent driven vehicle. In order to solve target vehicles differential problem, this paper has proposed self-adaptive differential control strategy, and based on that, has proposed anti-slip control strategy through limiting the motor driving torque. Then, the anti-slip differential effect has been tested by simulation. The simulation results have proved that good anti-slip differential effect can be realized by using the anti-slip differential control strategy proposed by this paper.

scholarly journals Fuzzy Control Model and Simulation for Nonlinear Supply Chain System with Lead Times

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Songtao Zhang ◽  
Yanting Hou ◽  
Siqi Zhang ◽  
Min Zhang
Keyword(s):  
Supply Chain ◽  
Fuzzy Control ◽  
Control Strategy ◽  
Control Model ◽  
Lead Times ◽  
Supply Chain System ◽  
Chain System ◽  
Model And Simulation ◽  
Definition Of ◽  
System Variables

A new fuzzy robust control strategy for the nonlinear supply chain system in the presence of lead times is proposed. Based on Takagi-Sugeno fuzzy control system, the fuzzy control model of the nonlinear supply chain system with lead times is constructed. Additionally, we design a fuzzy robust H∞ control strategy taking the definition of maximal overlapped-rules group into consideration to restrain the impacts such as those caused by lead times, switching actions among submodels, and customers’ stochastic demands. This control strategy can not only guarantee that the nonlinear supply chain system is robustly asymptotically stable but also realize soft switching among subsystems of the nonlinear supply chain to make the less fluctuation of the system variables by introducing the membership function of fuzzy system. The comparisons between the proposed fuzzy robust H∞ control strategy and the robust H∞ control strategy are finally illustrated through numerical simulations on a two-stage nonlinear supply chain with lead times.

scholarly journals Decentralised coordinated energy management for hybrid AC/DC microgrid by using fuzzy control strategy

2020 ◽  
Vol 14 (14) ◽  
pp. 2649-2656
Author(s):  
Zeyan Lv ◽  
Yong Zhang ◽  
Miao Yu ◽  
Yanghong Xia ◽  
Wei Wei
Keyword(s):  
Fuzzy Control ◽  
Energy Management ◽  
Control Strategy ◽  
Dc Microgrid ◽  
Fuzzy Control Strategy

scholarly journals Research on Genetic-fuzzy Control Strategy for Parallel Hybrid Electric Vehicle

2010 ◽  
Vol 4 (1) ◽  
pp. 224-231 ◽  
Author(s):  
Shichun Yang ◽  
Ming Li ◽  
Haoyu Weng ◽  
Bao Liu ◽  
Qiang Li ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Hybrid Electric Vehicle ◽  
Parallel Hybrid Electric Vehicle ◽  
Parallel Hybrid ◽  
Hybrid Electric ◽  
Fuzzy Control Strategy
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