scholarly journals Research on Optimization of Fuzzy Network Control System Based on New Smith Predictive Time Delay Compensation

2021 ◽  
Vol 2132 (1) ◽  
pp. 012019
Author(s):  
Cong Lu ◽  
Xuehui Xian ◽  
Changqing Li
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Control Method ◽  
Dynamic Performance ◽  
Network Control ◽  
Smith Predictor ◽  
Fuzzy Pid ◽  
Network Control System ◽  
Fuzzy Pid Control ◽  
Actual Model

Abstract Aiming at the problem of network delay when the network control system transmits data, this paper adopts a new type of fuzzy control method of Smith predictor to compensate for the delay. In actual application scenarios, it is difficult to accurately match the Smith prediction model with the actual model. At the same time, the quantization factor and scale factor in the fuzzy PID controller are too dependent on experience, which makes the system’s adaptability to actual working conditions very poor. In this paper, genetic algorithm is used to optimizes fuzzy PID. According to the simulation results, when the Smith predictive model does not match the actual model, the steady-state performance and dynamic performance of the system under the fuzzy PID control optimized by the genetic algorithm are improved.

Networked Control Systems Based on New Smith Predictor and Fuzzy-PID Controller

2014 ◽  
Vol 530-531 ◽  
pp. 999-1002 ◽  
Author(s):  
Zi Ming Zou ◽  
Xiao Yang Liu ◽  
Jie Hui Zeng
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Forecast Model ◽  
Networked Control System ◽  
Network Control ◽  
Smith Predictor ◽  
Networked Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller

To the question of networked control system with random time-delay in both forward and feedback channels, a new class of Smith predictor combined to Fuzzy PID control is presented. It sets up a new Smith forecast model and designs the parameter self-tuning fuzzy PID controller. The results of system simulation using MATLAB show that the network control system of the proposed scheme has better dynamic and stability, and in the case of model miss-matching has high robustness.

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.

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 Delay compensation using Smith predictor for wireless network control system

2016 ◽  
Vol 55 (2) ◽  
pp. 1421-1428 ◽  
Author(s):  
Mahmoud Gamal ◽  
Nayera Sadek ◽  
Mohamed R.M. Rizk ◽  
Ahmed K. Abou-elSaoud
Keyword(s):  
Control System ◽  
Wireless Network ◽  
Network Control ◽  
Smith Predictor ◽  
Delay Compensation ◽  
Network Control System

Research on Fuzzy Pid Control System of Temperatuer for Tertiary Air

2013 ◽  
Vol 341-342 ◽  
pp. 892-895
Author(s):  
Jun Chao Zhang ◽  
Shao Hong Jing
Keyword(s):  
Control System ◽  
Control Theory ◽  
Pid Control ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Effective Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning

The introduction of the AQC boiler has complex effects on the temperature of Tertiary air, traditional PID is difficult to achieve the effective control. Combined the method of the conventional PID with the fuzzy control theory, a fuzzy self-tuning PID controller is designed. Compared with traditional PID, results of simulation show that the fuzzy PID controller improves not only the adaptability and robustness of the system, but also the system's static and dynamic performance.

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 Control System Design of the Pod Based on Fuzzy-PID

2014 ◽  
Vol 615 ◽  
pp. 52-57
Author(s):  
Bao Gui Wang ◽  
Yan Liu ◽  
Yan Bo Song ◽  
Jian Wang ◽  
Zhi Guang Zhang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Noise Immunity ◽  
Control Method ◽  
System Model ◽  
Control System Design ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Simulink Simulation ◽  
Control System Model

When the pod works in the air, pod can produce the overshoot and stability. To solve this problem, the study demonstrates that the fuzzy-PID was used to control the pod. Simulink simulation module of Matlab was using to establish a control system model pod exterior orientation framework to verify the simulation, anti-jamming performance and tracking performance of the system. The results show that fuzzy PID control method can make the system have good stability, noise immunity and tracking capability.

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.

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