Fuzzy PID Combined with Smith Predictor Control of GSHP Terminal Fan System

2020 ◽  
Author(s):  
Shijun Chen ◽  
Yue Fei ◽  
Songsong Zheng ◽  
Kang Pan ◽  
Tao Zhang ◽  
...  
Keyword(s):  
Smith Predictor ◽  
Fuzzy Pid ◽  
Terminal Fan

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.

Tuning of fuzzy PID controller for Smith predictor

2010 ◽  
Vol 17 (3) ◽  
pp. 566-571 ◽  
Author(s):  
Hui-gui Rong ◽  
Hui Zheng ◽  
Zheng-qiang Li ◽  
Yu-xiang Xia
Keyword(s):  
Pid Controller ◽  
Smith Predictor ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller

Simulation of Indoor Temperature Control in VAV Air Conditioning System Based on Fuzzy PID and Smith Predictor Controller

2014 ◽  
Vol 556-562 ◽  
pp. 2401-2405 ◽  
Author(s):  
Tian Tian Guo ◽  
Qi Gao Hu
Keyword(s):  
Temperature Control ◽  
Air Conditioning ◽  
Control Algorithm ◽  
Current Control ◽  
Smith Predictor ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Indoor Temperature ◽  
Air Conditioning System ◽  
Indoor Temperature Control

A Fuzzy PID-Smith Control algorithm is proposed based on Fuzzy PID Control and Smith Predictor Control for the indoor temperature control of VAV air conditioning system which is a big inertia, pure time-delay, nonlinearity and greatly affected by circumstances complex temperature system. The algorithm flow and fuzzy reasoning rules were designed and it possesses the advantages of both Fuzzy PID and Smith Predictor. The simulation results show that the algorithm has fast response, small overshoot, high accuracy, strong robust and self-setting in line when the parameter changes and a great improvement in the aspects of overshoot and adjusting time has been achieved compared to the current control algorithm.

Simulation of Main Steam Temperature Control System Based on Fuzzy PID and Improved Smith Predictor

2013 ◽  
Vol 732-733 ◽  
pp. 280-285 ◽  
Author(s):  
Chang Liang Liu ◽  
Yong Bo Zhang
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Smith Predictor ◽  
Cascade Control ◽  
Temperature Control System ◽  
Fuzzy Pid ◽  
Steam Temperature ◽  
Main Steam ◽  
The Mathematical Model ◽  
Cascade Control System

The main steam temperature process has the characteristics of large inertia, large time delay and time-variation , to solve this problem, the fuzzy PID cascade control system with Smith predictor is presented .The improved Smith predictor with the effect of filtering was used in the main loop of the cascade control system, and fuzzy PID compound controller was used as the main controller based on the advantage of fuzzy control and PID. Through establishing the mathematical model and simulating the main steam temperature control system, either the parameter changed or invariable, the results show that the method can improve the control qualities and enhance the robustness and stability of the control system.

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