scholarly journals Theoretical and Experimental Analysis of the Hydraulic Actuator Used in the Active Reflector System

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Juliang Xiao ◽  
Qinyu Liu ◽  
Guodong Wang ◽  
Jun Ji
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Dynamic Performance ◽  
Graph Model ◽  
Astronomical Observation ◽  
Grey Prediction ◽  
Hydraulic Actuator ◽  
Step Size ◽  
Reflector System ◽  
Active Reflector

In order to improve the control quality of the active reflector system which is used in the 500 m aperture spherical radio telescope (FAST) project, a study on hydraulic actuator is proposed. The dynamic performance of hydraulic actuator is due to the interaction of several physical phenomena. Modeling of such a system needs a unified approach to represent the nonlinear behavior characteristics. Bond graph model is ideal for this task. In addition, conventional PID control strategy cannot achieve the required accuracy and precision, so we combine grey prediction with PID control. Furthermore, a new adjustment mechanism is presented to change the grey step size, which is simple, automatic, less time-consuming, and efficient. Simulations and experiments on the actuator are carried out to evaluate the effectiveness of the proposed control method. In experiments, the velocity error is less than 0.05mm/s and the position error is less than 0.2mm. It shows the actuator meets the astronomical observation requirement totally.

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.

Research on the Elongation Control System of Tension Leveller for Continuous Pickling Line

2013 ◽  
Vol 753-755 ◽  
pp. 1442-1447
Author(s):  
Li Wang ◽  
Dian Hua Zhang ◽  
Jie Sun ◽  
Qiu Jie Chen ◽  
Hua Ding
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Dynamic Performance ◽  
Vital Role ◽  
Rolled Strip ◽  
Loop Control ◽  
Elongation Control ◽  
Self Adaptive

Elongation control played a vital role for the production of cold-rolled strip. In the production process, especially during tension disturbances or parameter variations, the conventional PID control method can not meet the actual demand well. Therefore, the intelligent control algorithm was introduced in this paper. A fuzzy self-adaptive PID closed-loop control strategy which combines the fuzzy control algorithm with the conventional PID control algorithm was applied to elongation control system. It is proved in the simulation study that the fuzzy self-adaptive PID control system has both high dynamic performance and static performance as well as strong robustness, which can greatly improve control accuracy and anti-jamming capability of elongation control system of the tension leveller.

Model Free Control of the Refrigeration System Based on Minimum Stable Superheat

2013 ◽  
Vol 397-400 ◽  
pp. 1373-1377
Author(s):  
Bao Hua Cheng ◽  
Ai Guo Wu ◽  
Yu Wen You
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Coupling Effect ◽  
Dynamic Performance ◽  
Variable Load ◽  
Refrigeration System ◽  
Applied Model ◽  
Model Free ◽  
Model Free Control ◽  
Steady State Performance

This paper applied model free control method to the refrigeration system evaporator minimum stable superheat control. Compared with conventional PID control, model free control method has fast convergence, anti-interference ability. Meanwhile, model free control can reduce the coupling effect between evaporator superheat and evaporating temperature and be well adapted to the variable load control requirements of the refrigeration system, which has good steady state performance and dynamic performance.

A New Application of Fuzzy Control - Fuzzy Control System of Cutting Motor in Hi-Frequency Straight Welded Tube Process

2011 ◽  
Vol 58-60 ◽  
pp. 1194-1199
Author(s):  
Ning Gao ◽  
Li Peng ◽  
Lin Hai Wu ◽  
Jun Jie Jiang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Speed Control ◽  
Simulation Test ◽  
Fuzzy Control System ◽  
Welded Tube

Because of the nonlinear of the cutting motor which is used in hi-frequency straight welded tube process, this paper designs a fuzzy control method used in the speed control system of the cutting motor. Furthermore, simulation test shows the control system that uses the fuzzy controller has better performances than that of the traditional PID control, which improve the dynamic performance, disturbance restraint performance and the steady precision.

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.

scholarly journals Position Tracking Control of PMSM Based on Fuzzy PID-Variable Structure Adaptive Control

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Pei Pei ◽  
Zhongcai Pei ◽  
Zhiyong Tang ◽  
Han Gu
Keyword(s):  
Adaptive Control ◽  
Pid Control ◽  
Control Method ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Variable Structure ◽  
Fuzzy Pid ◽  
Structure Control ◽  
Control Precision ◽  
Sliding Mode Variable Structure

A novel Fuzzy PID-Variable Structure Adaptive Control is proposed for position tracking of Permanent Magnet Synchronous Motor which will be used in electric extremity exoskeleton robot. This novel control method introduces sliding mode variable structure control on the basis of traditional PID control. The variable structure term is designed according to the sliding mode surface which is designed by system state equation, so it could compensate for the disturbance and uncertainty. Considering the chattering of sliding mode system, the fuzzy inference method is adopted to adjust the parameters of PID adaptively in real time online, which can attenuate chattering and improve control precision and dynamic performance of system correspondingly. In addition, compared with the traditional sliding mode control, this method takes the fuzzy PID control item to replace the equivalent control item of sliding mode variable structure control, which could avoid the control performance reduction resulted from modeling error and parameter error of system. It is proved that this algorithm can converge to the sliding surface and guarantee the stability of system by Lyapunov function. Simulation results show that Fuzzy PID-Variable Structure Adaptive Control enjoys better control precision and dynamic performance compared with traditional control method, and it improves the robustness of system significantly. Finally, the effectiveness and practicability of the algorithm are verified by the method of Rapid Control Prototyping on the semiphysical simulation test bench.

Design and Simulation of the Intelligent Control of the Greenhouse Temperature

2013 ◽  
Vol 423-426 ◽  
pp. 2851-2854
Author(s):  
Lin Zhao
Keyword(s):  
Mathematical Model ◽  
Intelligent Control ◽  
Control Strategy ◽  
Pid Control ◽  
Time Variation ◽  
Performance Index ◽  
Control Method ◽  
Dynamic Performance ◽  
On Line ◽  
Greenhouse Control

In greenhouse control , The production process of the greenhouse environment has many characteristics, such as time variation, nonlinearity and uncertainty. It's very difficult to build an accurate mathematical model. The effect of the conventional control method is not satisfied. Fuzzy control is used to adjust the parameters of PID control on-line in the aspect of control strategy, accordingly it can make static and dynamic performance index more ideal.

Based on Grey Prediction and Fuzzy PID Control Method

2011 ◽  
Vol 415-417 ◽  
pp. 920-923
Author(s):  
Ye Fei ◽  
Jin Ning ◽  
Xing Kun Wang
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Fuzzy Reasoning ◽  
Grey Prediction ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Prediction Theory ◽  
Excellent Control ◽  
Simulation Results ◽  
Controlled Object

This paper fusions advantages of the grey forecast, fuzzy control and the traditional PID control, puts forward the grey prediction fuzzy PID control method. This method is based on PID Controlling Regulation determine interrelated parameters with the fuzzy reasoning, use online grey prediction theory forecast the system outputs which instead of the controlled object measurement value to exert feedback control for the system. The simulation results show that this control ways have more excellent control quality than traditional PID and Fuzzy PID.

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