Fuzzy PID Control System for Sludge Digestion Tank Temperature

2014 ◽  
Vol 496-500 ◽  
pp. 1221-1225 ◽  
Author(s):  
Shu Qi Xue ◽  
Wen Zhao Yan ◽  
Liang Ma
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Fuzzy Controller ◽  
Self Regulation ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Sludge Digestion ◽  
Fuzzy Control Algorithm

In order to improve the accuracy and stability of sludge digestion tank temperature control, based on the PID control with fuzzy controller, using the fuzzy control algorithm, obtained the adjustment of PID control parameters and online self-regulation of PID controllers parameters. The simulation tests show that the fuzzy PID control system for sludge digestion tank temperature outperforms the general PID control system because of a ±1°C control accuracy, this can satisfy the requirements of temperature control of sludge digestion.

The Design and Simulation of Control System for Electrical Heating

2013 ◽  
Vol 325-326 ◽  
pp. 1193-1196
Author(s):  
Guo Sheng Xu
Keyword(s):  
Control System ◽  
Pid Control ◽  
Fuzzy Controller ◽  
Electrical Heating ◽  
Temperature Control System ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Fuzzy Pid Controller ◽  
Electric Boiler

In view of the fact that the performance of any conventional PID control can t meet the requirement an electric boiler temperature control system, this paper puts forward a kind of improved algorithm for tuning the PID parameters. an adaptive fuzzy controller with adjusting factor is proposed in this paper. Experimental results illustrate that the adaptive fuzzy PID controller achieved the system performance index. The method of adaptive fuzzy PID control is a ideal method.

The Control System of Test Bench for Thermal Insulating Properties of Building Doors and Windows Based on Fuzzy-PID Control

2013 ◽  
Vol 385-386 ◽  
pp. 968-972
Author(s):  
Zhi Guang Gong ◽  
Chun Hui Du ◽  
Ya Jie Li ◽  
Jiang Li Yu
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Test Bench ◽  
Temperature Control System ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Temperature Measuring ◽  
Thermal Insulating ◽  
Insulating Properties

According to many temperature measuring points, the large delay, nonlinear and time-varying characteristics of the temperature control system of test bench for thermal insulating property, By combining fuzzy-PID control technology with Zigbee WSN technology, a design scheme of the automatic control system of test bench for thermal insulating properties of building doors and windows is put forward, which is low-cost and high precision. The microprocessor of sensor node adopts CC2530 wireless MCU. The system adopts Zigbee wireless network and RS-485 bus to transmit digital temperature and humidity signals, and is no wiring, intermediate links are lessened, transmission error is reduced and temperature measuring accuracy is improved. By adopting Fuzzy-PID control, the self-adaptability of controller and the precision of temperature control is improved.

Fuzzy PID Control for Fast-Steering Mirror System

2014 ◽  
Vol 568-570 ◽  
pp. 1026-1030
Author(s):  
Xue Jin Bai ◽  
Yong Ming Qiao
Keyword(s):  
Control System ◽  
Transient Process ◽  
Pid Control ◽  
Pid Controller ◽  
High Speed ◽  
Mirror System ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller

Fast-steering mirror system demands higher accuracy and fast responding speed to track targets, but the conventional PID controllers cannot meet the demands. Instead, the fuzzy PID control can greatly improve the capturing and tracking capacities to high-speed dynamic targets. So we apply the fuzzy-PID controller in the positioning loop of the stabilized system, not only improving the transient process of the control system and decreasing the overshoot, but also enhancing the accuracy of tracking stabilization and response. At the end, simulations were performed to test the effectiveness of this method through the MATLAB platform.

Generator Stator Bar-Ends Cure-Heating Monitor System on Fuzzy PID

2014 ◽  
Vol 621 ◽  
pp. 274-281
Author(s):  
Xiao Dong Tan ◽  
Xing Xing Wang ◽  
Jiang Chen
Keyword(s):  
Control System ◽  
Real Time ◽  
Temperature Control ◽  
Pid Control ◽  
Heating Temperature ◽  
Heating System ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
One Step ◽  
Generator Stator

The process of electric generator stator bar-ends cure-heating is a key step during the generator production. However, since the cure-heating system is a non-linear and one-step inertial system of great coupling. Because of the resistance wire (or wire rod body resistance), air convection, the temperature and other environmental factors, it is difficult to establish accurate mathematical mode. The traditional PID control system does not achieve the desired effect. On the one hand, its overshoot is so large that the tolerance can be up to 6, on the other hand, it is difficult to regain balance once the system is perturbed. The paper makes a thermal chemical analysis of the cure-heating system, then builds a thermodynamics model. To control the non-linear and one-step inertial system, it adopts the method of Fuzzy self-tuning PID parameters to adjust the PID parameters including, and the output according to the real-time heating temperature feedback, thus, controlling the heaters action to achieve the objective of heating temperature control and solving the strong-coupling between the multi-loops of heating and improve the automatic control degree of the cure-heating control system. By simulating in MATLAB and analyzing the simulated results comparing Fuzzy-PID control effects with traditional PID, the results show that the method of Fuzzy-PID control which is used to realize the real-time control of temperature in the stator bar-ends cure-heating system can exert strongpoint and avoid shortcoming of those two control methods. As it can not only exploit the advantages of Fuzzy control, such as strong Robinson Crusoe, fast response time, small overshoot, but also possesses the high quality dynamic tracking function and better static precision of PID control, it is a superior excitation temperature control scheme for stator bar-ends cure-heating system.

Design of Compound Fuzzy Controller for Multivariable Systems

2009 ◽  
Vol 16-19 ◽  
pp. 150-154 ◽  
Author(s):  
Xue Ming Zhang ◽  
Gui Xiang Zhang ◽  
Feng Shao ◽  
Qing Jie Yang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Design Method ◽  
Design Procedure ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Tuning Rules

The PID controllers can be seen in lots of fields, but some complex control system cannot be controlled to achieve a desired performance index. A design method of the fuzzy PID controller that is based on the fuzzy tuning rules and formed by integrating two above control ideas is proposed in this paper. The design procedure about fuzzy PID control can be divided two steps: the first step is to build the fuzzy tuning rules by analysis, and to obtain the parameters of PID controller by reasoning, and then the control action can be determined by the PID control law. The simulation results and the practical control effects show that the compound fuzzy PID controller has better performance than that of the conventional PID control system and meet the practical demands.

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