Research on Control Strategy of Oil Film Stiffness Control System of Hydrostatic Center Frame

2013 ◽  
Vol 274 ◽  
pp. 629-633
Author(s):  
Zhong Wen Wang ◽  
Rui Zhen Duan ◽  
Wan Li Xu ◽  
Fu Chun Tao ◽  
Xiao Qiu Xu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Strategy ◽  
Model Identification ◽  
Variable Structure ◽  
Dynamic Regulation ◽  
Oil Film ◽  
Model Variable ◽  
Control Gain ◽  
Equivalent Control

Design a new type of electro-hydraulic servo control system of oil film in hydrostatic center frame, regulate and control oil film thickness adopting various controllable oil chambers, build mathematical models of control system and carry on system model identification and verification. Propose a control strategy about fuzzy sliding model variable structure, and it is applied in the model achieved by identification, adopt the method of fuzzy control system approximating equivalent control and design switching controller based on fuzzy control gain dynamic regulation, which could inhabit buffeting existing in sliding model variable structure control. Simulation results show that the controller can’t only effectively inhabit buffeting and reduce steady-state error, but also has strong robustness for structure parameter uncertainty.

Investigation of Motor-Generator Integration System for Electric Vehicle Based on Induction Motor and Fuzzy Control

2011 ◽  
Vol 328-330 ◽  
pp. 2172-2180 ◽  
Author(s):  
Zhi Long Xing ◽  
Yang Liu ◽  
Yun Feng Liu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Induction Motor ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
Direct Torque Control ◽  
Torque Control ◽  
Torque Control Strategy ◽  
Ac Induction Motor

Aiming to solve the energy saving problem in modern electric vehicle, we propose a motor-generator integration control system based on the induction motor and the fuzzy control theory in this paper. A motor-generator hardware platform is built up using the four quadrant characteristic of AC induction motor. The AC induction motor works both as driving motor of the electric vehicle and as well as the energy recovery generator. Specifically, the fuzzy direct torque control strategy is adopted in the motor state, and fuzzy instantaneous torque control strategy in power generation state. A simulation is carried out to analyze the practicality of the proposed control method, the simulation results show that the fuzzy torque control technology is well performed. Finally, a simulative energy recovery experimental platform is built up to test the proposed integration control system, and results shown that the efficiency of energy recovery could be up to 97.3%.

scholarly journals A spintronic memristor crossbar array for fuzzy control with application in the water valves control system

2019 ◽  
Vol 52 (5-6) ◽  
pp. 418-431 ◽  
Author(s):  
Liu Jun ◽  
Xie Shouyong ◽  
Chen Chong ◽  
Xie Dan ◽  
Yang Mingjin
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Real Time ◽  
Control Strategy ◽  
Fuzzy Controller ◽  
Real Time Control ◽  
The Real ◽  
Crossbar Array ◽  
Time Control ◽  
Memristor Crossbar

Fuzzy control, an intelligent control method, is generally employed to deal with complex nonlinear controlled objects that cannot be expressed by accurate mathematical model. Memristor, whose unique advantages are automatic successive memory and nonvolatility, brought new opportunity for solving the key question of fuzzy control. With the design idea of software harden, this paper first constructed membership function in the fuzzy controller based on the unique feature of crossbar array of the spintronic memristor and elaborated the whole construction process. After that, this paper simulated the construction process with MATLAB simulation software, verifying its reasonability and feasibility. Furthermore, a typical fuzzy control water tank system was chosen to explore and discuss the flexibility of spintronic memristor crossbar array in the real-time control system, and the proposed control strategy and the typical fuzzy control strategy were compared. The results revealed that the proposed control strategy was able to attain the effectiveness of the typical fuzzy control system in the real-time control system. This sets light to future research on the implementation of memristor crossbar array in the real-time control system and also promotes the application of fuzzy controller design idea. The problems needed to be solved when implementing memristor crossbar array in the real-time control system were discussed in the final section.

The Design and Research of Quantitative Packaging System for Industry Manufactruing Based on PLC

2013 ◽  
Vol 675 ◽  
pp. 67-71
Author(s):  
Yan Xiang Wu ◽  
Li Zhang ◽  
Chao Jun Zhang ◽  
Chao Qun Zhou
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Strategy ◽  
Pid Control ◽  
Production Efficiency ◽  
Hybrid Control ◽  
Variable Frequency ◽  
Feeding System ◽  
Packaging System ◽  
Industrial Manufacturing

This article designs and realizes a variable-frequency feeding system for quantitative packaging based on PLC. By analyzing diversified factors that affect precision and speed in weighing process, this paper puts forward a hybrid control strategy which combined fuzzy control and traditional PID control. The proposed control system meets the control requirements of high precision in weighing and improves production efficiency. The practical results show that the system possesses a desirable application value in the modern industrial manufacturing.

Simulation Study on ESP Fuzzy Control Based on Road Automatic Identification

2014 ◽  
Vol 1044-1045 ◽  
pp. 863-867
Author(s):  
Yan Rong Fu ◽  
Li Xian Ren ◽  
Guo Ye Wang ◽  
Hai Jing Hou
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Strategy ◽  
High Speed ◽  
Degrees Of Freedom ◽  
Integrated Control ◽  
Automatic Identification ◽  
Electronic Stability Program ◽  
Slip Ratio ◽  
Fuzzy Control Strategy

ESP (Electronic Stability Program) is a kind of active safety device which can comprehensively improve the brake, drive and high speed performance of the automobile. Mastering the key technologies of ESP control system plays an important role in improving the performance of ESP. Vehicle dynamic model and engine model with 9 degrees of freedom of one passenger car were established based on vehicle and tire force analysis. The ESP fuzzy control model based on slip ratio control was established. The optimal slip ratio under different pavements was confirmed by using road recognition method. ESP fuzzy control was realized under MATLAB/Simulink environment. And through the split road simulation prove the validity of the road recognition algorithm, and the effectiveness of the fuzzy control strategy. The simulation and the debugging results indicate that the ESP fuzzy control strategy based on road automatic identification works well, and obviously improves automobile stability under critical situations. And all of these make a good foundation for the further research and development for the ESP integrated control system.

scholarly journals A Semiactive and Adaptive Hybrid Control System for a Tracked Vehicle Hydropneumatic Suspension Based on Disturbance Identification

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Shousong Han ◽  
Zhiqiang Chao ◽  
Xiangbo Liu
Keyword(s):  
Control System ◽  
Control Strategy ◽  
High Speed ◽  
Ride Comfort ◽  
Hybrid Control ◽  
Tracked Vehicle ◽  
Zero Crossing ◽  
Damping Control ◽  
Control Gain ◽  
Self Adaptive

The riding conditions for a high-speed tracked vehicle are quite complex. To enhance the adaptability of suspension systems to different riding conditions, a semiactive and self-adaptive hybrid control strategy based on disturbance velocity and frequency identification was proposed. A mathematical model of the semiactive, self-adaptive hybrid suspension control system, along with a performance evaluation function, was established. Based on a two-degree-of-freedom (DOF) suspension system, the kinematic relations and frequency zero-crossing detection method were defined, and expressions for the disturbance velocity and disturbance frequency of the road were obtained. Optimal scheduling of the semiactive hybrid damping control gain (csky, cground, chybrid) and self-adaptive control gain (cv) under different disturbances were realized by exploiting the particle swarm multiobjective optimization algorithm. An experimental study using a carefully designed test rig was performed under a number of typical riding conditions of tracked vehicles, and the results showed that the proposed control strategy is capable of accurately recognizing different disturbances, shifting between control modes (semiactive/self-adaptive), and scheduling the damping control gain according to the disturbance identification outcomes; hence, the proposed strategy could achieve a good trade-off between ride comfort and ride safety and efficiently increase the overall performance of the suspension under various riding conditions.

Fuzzy Control Strategy of the Mixed Magnetic Levitation Bearing Rotor System

2012 ◽  
Vol 184-185 ◽  
pp. 1566-1569
Author(s):  
Xiao Bin Zhou ◽  
Li Zeng ◽  
Zheng Jie Xu ◽  
Dao Tian Hu ◽  
Yan Neng Yang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Strategy ◽  
Magnetic Levitation ◽  
Magnetic Suspension ◽  
Displacement Sensor ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Fuzzy Control Strategy ◽  
Control Principle

This paper proposes a Fuzzy Control strategy of magnetic levitation bearing rotor according to the mixed magnetic levitation bearing. Combined with electromagnetic winding working principle, this paper uses the self-sensing displacement self-diagnosing system instead of the special displacement sensor, makes a no sensor self-diagnosing magnetic suspension control system, controls the system by the fuzzy PID (proportional, integral and differential) controller, and builds a mathematical model of the control system. Analyzing the fuzzy rules and fuzzy control principle of the fuzzy PID controller setting parameters, this paper has a fuzzy simulation for the system.

Researching on Fuzzy Control System of Jigging Discharge Based on PLC

2011 ◽  
Vol 201-203 ◽  
pp. 2028-2032
Author(s):  
Yu Chen
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Nonlinear Control ◽  
Common Sense ◽  
Control Strategy ◽  
Fuzzy Inference ◽  
Operational Experience ◽  
Fuzzy Control System ◽  
Fuzzy Language

Fuzzy control is a nonlinear control strategy based on fuzzy inference. It shows the people’s operational experience and common sense rules of inference through fuzzy language. For the jigging discharging system, its overall structure and the necessary hardware and software in the process of controlling are designed. And then, the fuzzy control of jigging discharging system is actualized based on S7-300 PLC. After on-site commissioning, the control system can meet the site requirements.

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