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.

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.

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.

Variable Structure Fuzzy PID Plane Flat End Steering Gear Servo System

2013 ◽  
Vol 310 ◽  
pp. 532-535
Author(s):  
Le Peng Song ◽  
Hua Bin Wang
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Fuzzy Theory ◽  
Servo System ◽  
Good Control ◽  
Variable Structure ◽  
Mathematic Model ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control

A mathematic model, focusing on the control of tail plane actuator servo system, is established based on control theories. Considering its nonlinearity and intermittence, a fuzzy-PID control method is brought forward based on fuzzy theory. The design of a fuzzy-PID controller has been accomplished. and its comparision with conventional PID control and P control has been made. The final system simulation is conducted with Simulink under the effect of unit step signal.The result shows that the fuzzy-PID control has a better performance in speed, response and anti-jamming. It has a satisfactory dynamic characteristic while not losing the advantages of the fuzzy control and the PID control. Therefore, it enhances the integral property of the tail plane actuator servo system and obtains a good control effect. In a word, the new system can meet the requirement of the system better.

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.

Design and Research of Air-Compressor Control System Based on Fuzzy PID Control

2011 ◽  
Vol 121-126 ◽  
pp. 773-777 ◽  
Author(s):  
Gong Fa Li ◽  
Si Qiang Xu ◽  
Guo Zhang Jiang ◽  
Po Gao ◽  
Jian Yi Kong ◽  
...  
Keyword(s):  
Control Systems ◽  
Intelligent Control ◽  
Pid Control ◽  
Control Method ◽  
Air Separation ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Air Compressor ◽  
Separation Systems

According to the requirements and characteristics of air compressor control systems in the process of air separation, an intelligent control method based on the fuzzy PID was proposed. Through simulating the designed control method, it is concluded that the control effect was extraordinarily satisfactory. It can offer a certain meaning of guidance and reference for the control of other equipment in air separation systems.

scholarly journals Design and Analysis of a Drive System for a Series Manipulator Based on Orthogonal-Fuzzy PID Control

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1051 ◽  
Author(s):  
Zhou ◽  
Chen ◽  
Zhou ◽  
Liu
Keyword(s):  
Motion Control ◽  
Pid Control ◽  
Control Method ◽  
Simulation Analysis ◽  
Drive System ◽  
Test Method ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Orthogonal Test Method

Because the proportional–integral–derivative (PID) parameters selected by experience are random, the control effect of fuzzy PID cannot be optimized. In order to improve the accuracy and stability of robot motion control, an orthogonal-fuzzy PID intelligent control method is proposed. In this paper, the electric steering gear is used as the actuator, and the mathematical model of the servo motor joint drive system is established. The simulation analysis of the original control, PID control, fuzzy PID control, and orthogonal-fuzzy PID control of the manipulator joints in the Simulink software simulation environment and the motion control experiment of the manipulator show that using the orthogonal test method to adjust the PID parameters can quickly determine the appropriate PID parameters and greatly reduce the number of trials. The rise time, adjustment time, and overshoot of the system are significantly reduced by using fuzzy PID control, which can improve the adaptability of the system. By comparing and analyzing fuzzy PID and orthogonal-fuzzy PID control methods, it can be found that the system of orthogonal-fuzzy PID for optimal factor level combination (Kp = 0.1, Ki = 30 and Kd = 0.02) is the optimal system. The experiment results show that the orthogonal-fuzzy PID can further improve the accuracy of the system and reduce the oscillation process of the system near the steady state and make the motion more stable.

scholarly journals Research on edge controller based on industrial furnace

2021 ◽  
Vol 2076 (1) ◽  
pp. 012076
Author(s):  
Yi Deng ◽  
Jiapeng Gao ◽  
Xuewen Zhang
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Control Function ◽  
Edge Computing ◽  
Industrial Furnace ◽  
Fuzzy Pid ◽  
Resistance Furnace ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Close Loop Control

Abstract Traditional control instruments and DCS control systems are limited by shortcomings such as single control function, independent controlled elements, inability to close-loop control on site, and ineffective communication. Aiming at these problems, this paper proposes a kind of industrial furnace edge controller which has the functions of acquisition, calculation, control, storage, output and communication in one. The edge controller structure, edge computing and the control method applied to edge computing are designed. The fuzzy PID control method is compared with the conventional PID control method by taking the temperature control of resistance furnace as an example. The simulation shows that the control effect of fuzzy PID on resistance furnace temperature is obviously better than that of conventional PID. The test results also show that the performance indices for the fuzzy PID control are better, which again proves that the fuzzy PID control outperforms. The research results of this paper are of reference value for engineering applications.

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.

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