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.

Fuzzy-PID Control of Electronic Controlled Diesel Engine

2012 ◽  
Vol 201-202 ◽  
pp. 1143-1146
Author(s):  
Li Yong Hu ◽  
Guo Sheng Feng ◽  
Su Mei Jia ◽  
Wei Zhang
Keyword(s):  
Diesel Engine ◽  
Pid Control ◽  
Control Method ◽  
Dynamic Performance ◽  
Dynamic Control ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Magnetic Actuator ◽  
Electro Magnetic

In order to satisfy the demand of increasingly stringent emission regulations and enhance fuel economy and increase dynamic performance of vehicle diesel engine, the working parameters of electronic controlled diesel engine should be changed properly. An electromagnetic actuator controlled system was designed based on DSP56F807. The control strategy of fuzzy-PID and fuzzy control model for electro-magnetic actuator was established. The control effect of fuzzy-PID for electro-magnetic actuator and diesel engine was validated through experiment. Experimental results showed that good static and dynamic control effect can be obtained using fuzzy-PID control method.

The Fuzzy PID Control Simulation Research of the Macro-Micro Servo Driven Positioning Mechanism

2014 ◽  
Vol 668-669 ◽  
pp. 544-548
Author(s):  
You Xiong Xu ◽  
Song Qing Zhu
Keyword(s):  
High Precision ◽  
Pid Control ◽  
Control Method ◽  
Dynamic Performance ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Control Simulation ◽  
Motion System ◽  
Combined Simulation

According to the contradiction between the large stroke and high precision of positioning mechanism, in order to solve the high precision positioning problem of large stroke motion system in precision machining and precision measurement fields, the macro-micro positioning mechanism based on electrohydraulic-piezoelectric hybrid servo was presented with the advantages of the electrohydraulic servo driven and the piezoelectric precision driven. Its combined simulation model based on AMESim and MATLAB/Simulink software was built. On this basis, its fuzzy PID control simulation research was done. The simulation results showed that compared with traditional PID, the positioning mechanism static and dynamic performance could be improved by using the fuzzy control method. This will provide control theoretical basis for practical engineering applications.

Fuzzy Control Based on the Monitoring of Residual Oxygen of Furnace Flue Gas in Industry

2013 ◽  
Vol 380-384 ◽  
pp. 618-621
Author(s):  
Jie Sun ◽  
Min Feng ◽  
Chun Chen Zhao
Keyword(s):  
Flue Gas ◽  
Pid Control ◽  
Control Method ◽  
Dynamic Performance ◽  
Heating Furnace ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Error ◽  
Residual Oxygen ◽  
Reduce Energy Consumption

For the feature of dynamic response slow and static PID control error of the furnace remaining oxygen, we introduce fuzzy PID control method to improve the heating furnace combustion air-fuel ratio and reduce energy consumption and enhance dynamic performance.

Research on Fuzzy PID Control for Power-Train MR Mount System

2013 ◽  
Vol 397-400 ◽  
pp. 1304-1308
Author(s):  
Dao Yuan Pan ◽  
Xiang Gao ◽  
Chang Gao Xia ◽  
Hao Cai
Keyword(s):  
Pid Control ◽  
Vibration Isolation ◽  
Control Method ◽  
Simulation Analysis ◽  
The Body ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Isolation System ◽  
Power Train ◽  
Fuzzy Pid Controller

In view of automotive power-train magnetorheological (MR) mount system with nonlinearity and uncertainty, which is difficult to control, the fuzzy PID control method was proposed and studied. Based on the analysis of two-degree of freedom vibration isolation system model, the fuzzy PID controller for the control model of MR semi-active mount was designed and its simulation analysis was carried out. The simulation results indicate that MR mount combined with the fuzzy PID control method can effectively reduce the body acceleration and the force transferred to the frame. This research provides a reference for further research and development of MR mount.

Based on Fuzzy PID Control’s Research of Control of Concentration of Sub-Nanometer Wood Flour

2011 ◽  
Vol 128-129 ◽  
pp. 815-818
Author(s):  
De Zhi Guo ◽  
Chun Mei Yang ◽  
Yan Ma ◽  
Yu Juan Liu
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Method ◽  
Wood Flour ◽  
Dynamic Performance ◽  
System Stability ◽  
Detection Accuracy ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Fuzzy Pid Control

In this paper, the concentration of sub-nanometer control of wood flour based on fuzzy PID control, how to increased the concentration of the targetd wood flour is Proposed. Obtained by analyzing, the traditional PID control can not solve the problem of wood flour concentration detection accuracy, to proposed fuzzy PID control method can improve the accuracy of wood flour concentration detection and the performance system stability. To establishment the matlab simulation, illustrates the fuzzy PID control system is more advantageous than the traditional PID control system, reducing the overshoot of system effectively, improving the response of system, shortening the adjustment time, strengthening the dynamic performance of the control system.

Research on Dynamic Performance of Independent Metering Valve-Cylinder System Based on Double Pressure Compound Control

2020 ◽  
Author(s):  
Bin Zhang ◽  
Hui-ming Bao ◽  
Qi Zhong ◽  
Hao-cen Hong ◽  
Hua-yong Yang
Keyword(s):  
Dynamic Characteristics ◽  
Pid Control ◽  
Control Algorithm ◽  
Degrees Of Freedom ◽  
Dynamic Performance ◽  
Control Performance ◽  
Fuzzy Pid ◽  
Cavity Pressure ◽  
Fuzzy Pid Control ◽  
Compound Control

Abstract In hydraulic motion control industries, independent metering valves control system (IMVCS) can effectively improve the control performance of the system, furthermore, it has prominent potential in energy-saving. In IMVCS, the meter-in and meter-out orifices are regulated by two independent valves, which increases the control degrees of freedom. In some working conditions such as lifting where the load is steady, a double pressure compound control (DPCC) strategy that controls inlet and outlet cavities simultaneously can be applied for better dynamic performance. In this paper, a double DPCC strategy is proposed to regulate the pressure of both meter-in and meter-out chambers of a cylinder. Firstly, the control algorithm based on the two-level fuzzy PID (FPID) is designed, which contains a spool displacement controller as an inner loop and a pressure controller as an outer loop. Then, the pressure dynamic characteristics of the system under the IMVCS are studied. The simulation model is established using AMESim-Simulink co-simulation, and its key parameters are identified through experiments. The simulation results show that the dynamic characteristics of the actuator can be increased effectively with two-level fuzzy PID control algorithm and DPCC strategy. The adjusting time and overshoot of cavity pressure can be significantly decreased with them.

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.

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