Temperature control method for water-coal-mixture gasifier system based on fuzzy control rules optimized by PSO algorithm

2013 ◽  
Author(s):  
Tianpei Zhou
Keyword(s):  
Fuzzy Control ◽  
Temperature Control ◽  
Control Method ◽  
Pso Algorithm ◽  
Control Rules ◽  
Coal Mixture

An Asymmetric Fuzzy Method for MPPT Control of PV System

2011 ◽  
Vol 341-342 ◽  
pp. 323-327
Author(s):  
Xiu Ling Wang ◽  
Rong Sheng Meng
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Input Function ◽  
Pv System ◽  
Nonlinear Characteristics ◽  
Fuzzy Method ◽  
Photovoltaic Array ◽  
Solar Arrays ◽  
Control Rules ◽  
Output Characteristics

In this paper an Asymmetric Fuzzy Method for MPPT Control of PV System was described, which is focus on the nonlinear characteristics of solar arrays and it is necessary to create control rules that meet the output characteristics of the solar arrays. Asymmetric Fuzzy control method can solve this question: the input function and membership function reflect characteristics of photovoltaic array adequately, which is different from traditional symmetric fuzzy control. So we can adjust to the disturbance step according to the characteristics of photovoltaic array.

PID Parameter Setting Based on Fuzzy Control Algorithm and its Application in the Temperature Control System of Airplane

2012 ◽  
Vol 588-589 ◽  
pp. 1503-1506
Author(s):  
Fang Ding ◽  
Tao Ma
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
System Control ◽  
Control Effect ◽  
Fuzzy Control Algorithm

This Temperature control system of aircraft cabin is a complex system with nonlinear, time-varying, model inaccurate and work environment uncertain. According to the system control requirements, the fuzzy controller with the characteristic of fast response speed, good stability and strong resistance to interference is used in the study. The system error is adjusted constantly by using fuzzy control algorithm and simulation study is conducted in the software Matlab. The results are showed that control effect of control method used in this study is better than the traditional PID control method, and dynamic performance, steady state accuracy and robustness of system is effectively improved.

Development of Controllers for Temperature Control of a Room Deploying the Displacement Ventilation HVAC System

2012 ◽  
Author(s):  
Zhicheng Li ◽  
Ramesh Agarwal ◽  
Huijun Gao
Keyword(s):  
Fuzzy Control ◽  
Temperature Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Ventilation System ◽  
Upper And Lower Bounds ◽  
Navier Stokes ◽  
Exterior Wall ◽  
Displacement Ventilation ◽  
Dynamic Matrix

By employing the fuzzy control theory and Dynamic Matrix Control (DMC) method, the controllers for temperature control of a room cooled by a displacement ventilation system are developed. The fluid flow and heat transfer inside the room is calculated by solving the Reynolds Averaged Navier-Stokes (RANS) equations including the effects of buoyancy in conjunction with a two-equation realizable k-epsilon turbulence model. Thus the physical environment is represented by a nonlinear system of partial differential equations. The system also has a large time delay because of the slowness of the heat exchange. Additionally, the temperature of the exterior wall of the room first increases and then decreases with time during a twenty four hour period, which acts as a strong disturbance in changing the temperature of the room. The goal of this paper is to develop controllers that will maintain the temperature in room within the specified upper and lower bounds by deploying the displacement ventilation system. In order to solve this temperature control problem, we develop a special fuzzy control method. At the same time, we analyze the peak value of the error and employ the DMC method to replace the fuzzy control method with success. Results show that the fuzzy controller is effective in saving energy and the DMC method can contain the error within specified bounds in the worst situation (when the temperature of the exterior wall is highest). This kind of fuzzy control and DMC method can also be employed for other HVAC systems such as Overhead VAV (Variable Air Volume) system and radiant cooling hydronic system.

Researches on Temperature Control Strategy of SMHS-Type 3D Printing Based on Variable Universe Fuzzy Control

2017 ◽  
Vol 21 (1) ◽  
pp. 166-171
Author(s):  
Tao Wu ◽  
◽  
Yiru Tang ◽  
Dongdong Fei ◽  
Yongbo Li ◽  
...  
Keyword(s):  
3D Printing ◽  
Fuzzy Control ◽  
Rapid Prototyping ◽  
Temperature Control ◽  
Control Method ◽  
Printing Technology ◽  
Forming Quality ◽  
3D Printing Technology ◽  
Variable Universe ◽  
Variable Universe Fuzzy Control

Selective micro heat sintering (SMHS)-type 3D printing technology is a widely applied method in rapid prototyping, which uses an electric heating component to sinter non-metallic powder. It requires precise control of the heating component’s energy and its sintering time. Temperature is one of the key factors that affect the forming quality of fused-type 3D printing technology. Aiming at the nonlinear and time-delay characteristics of temperature control in fused-type 3D printing, a fuzzy control method based on variable universe fuzzy control was studied. This fuzzy control method adopts a set of nonlinear expansion-contraction factors to make the variable universes change with the adaptive error, which can help acquire adaptive temperature adjustment in the rapid prototyping process control. The results of the simulation and experiment showed that the controlled temperature response was faster, the overshoot was smaller, and the stability was better compared to the conventional fuzzy proportion integration differentiation (PID) algorithm after the temperature reached the target temperature. The printed results indicated that the universe fuzzy PID control can effectively improve the accuracy of the workpiece shapes and that the density distribution of the workpiece is increased, which can help improve the forming quality.

scholarly journals Research on the intelligent control method of wind turbine grid connection without load

2020 ◽  
Vol 185 ◽  
pp. 01056
Author(s):  
Jing Ren ◽  
Shudong Wang
Keyword(s):  
Fuzzy Control ◽  
Wind Turbine ◽  
Intelligent Control ◽  
Clustering Algorithm ◽  
Control Method ◽  
Stable State ◽  
Control Object ◽  
Grid Connection ◽  
Control Rules ◽  
The Neural Network

Aiming at the problem that some wind turbines are difficult to achieve stability and low fitting accuracy when they are connected to the grid, an intelligent control method of wind turbine is proposed. Intelligent control is designed, and the output of the control object is the same as the expected output. The initial fuzzy control rules are obtained by the nearest neighbour clustering algorithm and the rules are optimized by the neural network. The fuzzy control and control strategy are integrated to realize the intelligent control of wind turbine with no load. Experiment results show that: compared with conventional control method, the intelligent control method of no-load grid-connection reaches a stable state sooner. The quadratic sum of fitting errors of the intelligent control method is lower than that of the conventional control method, which indicates that the intelligent control method has a higher fitting precision for samples, and the effect is better when the fan is connected to the grid without load.

Development of a Novel Robotic Catheter Manipulating System with Fuzzy PID Control

2012 ◽  
Vol 2 (2) ◽  
pp. 58-77 ◽  
Author(s):  
Xu Ma ◽  
Shuxiang Guo ◽  
Nan Xiao ◽  
Jian Guo ◽  
Shunichi Yoshida ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fast Reactions ◽  
Control Rules ◽  
Remote Operations ◽  
Intense Radiation ◽  
Better Than

Manual operation of steerable catheter is inaccurate in minimally invasive surgery, requiring dexterity for efficient manipulation of the catheter, and it exposes the surgeons to intense radiation. The authors’ objectives are to develop a robotic catheter manipulating system that replaces the surgeons with high accuracy. Increasing demands for flexibility and fast reactions in a control method, fuzzy control (FC) can play an important role because the experience of experts can be combined in the fuzzy control rules to be implemented in the systems. They present a practical application of a fuzzy PID control to this developed system during the remote operations and compare with the traditional PID (Proportional-Integral-Derivative Controllers) control experimentally. The feasibility and effectiveness of the control method are demonstrated. The synchronous manipulation performance with the fuzzy PID control is much better than using the conventional PID control method during the remote operations.

Fuzzy Changing Stiffness Control of the Unstable Vibration of a Centrifuge Rotor

1997 ◽  
Author(s):  
Y. Yuan ◽  
S. Y. Liu ◽  
B. C. Wen
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Control Method ◽  
Optimization Method ◽  
Control Rules ◽  
Coupling Equations ◽  
Stiffness Control ◽  
Unstable Vibration ◽  
Solid Liquid ◽  
Centrifuge Rotor

Abstract Fuzzy control theory is used to control the unstable vibration of a centrifuge rotor by means of changing support stiffness. The solid–liquid coupling equations of a centrifuge rotor are presented. A fuzzy changing stiffness controller with changeable control rules is designed. Parameters of the controller are optimized by an optimization method. This control method is realized on a horizontal centrifuge rotor. Experimental results show that fuzzy changing stiffness control (FCSC) can stabilize the unstable vibration of a centrifuge rotor effectively.

A Research on Thermostatic Control Method of Intelligent Sand Casting and Gas Forming Tester

2014 ◽  
Vol 602-605 ◽  
pp. 1358-1361
Author(s):  
Li Feng Zhu ◽  
Kai Wang ◽  
Zhan Kang ◽  
Shan Li
Keyword(s):  
Fuzzy Control ◽  
Temperature Control ◽  
Control Method ◽  
Control Model ◽  
Sand Casting ◽  
Thermostatic Control

The temperature control model of an intelligent sand casting and gas forming tester is introduced in this paper. The thermostatic fuzzy control of the tester is simulated by the fuzzy control kit in Matlab. The result of the simulation indicates that the control method of the research has a intelligentized degree, which is more precise than conventional control method.

Research and Application of Fuzzy Control in Boiler Combustion System Based on ACA

2012 ◽  
Vol 461 ◽  
pp. 642-646
Author(s):  
Chen Wu ◽  
Guo Huan Lou
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Ant Colony Algorithm ◽  
Control Method ◽  
Linear Time ◽  
Control Parameters ◽  
Combustion System ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Rules

In the complex control processes of the industrial boiler combustion system with non-linear, time-varying and multivariable, aim at the original control parameters fixed, slow response, delay regulation and other problems, this paper introduces a control method that combines ant colony algorithm with fuzzy PID control, improves the design of fuzzy control rules table and optimizes the PID control parameters. Simulation results show that this control scheme is superior to conventional PID control and fuzzy PID control.

Sign in / Sign up

Export Citation Format

Share Document