The Design and Simulation of Scheelite Alkali Autoclave Reactor Fuzzy-PID Controller

2014 ◽  
Vol 599-601 ◽  
pp. 1098-1101
Author(s):  
Xiao Yao Luo ◽  
Bin Chen ◽  
Meng Yu ◽  
Qi Xiong
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Control Effect ◽  
Fuzzy Pid Controller ◽  
Autoclave Decomposition ◽  
Object Of Control ◽  
Autoclave Reactor

In view of the present situation of scheelite smelting technology in China, we analyze the existing equipment and process problems,put forward the technique of mechanical enhancement of scheelite and alkali autoclave decomposition method combining with the temperature, the temperature of reaction kettle as the main object of control, the fuzzy control and PID control combined to design a two-dimensional fuzzy controller, through the MATLAB simulation results show that, the control effect, safety and feasibility of good.

Research on the Fuzzy PID Controller Based on PLC Applied in the Cold Pellet Production

2013 ◽  
Vol 284-287 ◽  
pp. 2291-2295
Author(s):  
Man Chen Xiong ◽  
Ling Long Wang ◽  
Yi Heng Jiang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Drying System

Parameter self-setting fuzzy PID control algorithm for control drying temperature is proposed to improve the problem about big fluctuations in temperature and high pellet broken rate of traditional control on Cold pressure ball drying system in this paper, and the controller create intelligence temperature control system through combine fuzzy control and PID control. We establish fuzzy controller, preparation of fuzzy look-up table in PLC and combined with PID control module to realize fuzzy PID control algorithm, through the computer simulation to analyze the fuzzy PID controller control effect.

Study on Control Strategies of Semi-Active Air Suspension for Heavy Vehicles Based on Road-Friendliness

2012 ◽  
Vol 452-453 ◽  
pp. 328-333
Author(s):  
Feng He ◽  
Jing Zhao ◽  
Hao Yu Wang
Keyword(s):  
Pid Controller ◽  
Fuzzy Controller ◽  
Control Strategies ◽  
Fuzzy Pid ◽  
Control Effect ◽  
The Road ◽  
Fuzzy Pid Controller ◽  
Air Suspension ◽  
Road Excitation ◽  
Band Limited

Targeting the road-friendliness of vehicles, the paper has analyzed dynamic deformation and dynamic load of tires under different control strategies through co-simulation. A vehicle dynamics model with semi-active air suspension has been made through using Adams, and a PID controller, a fuzzy controller and a fuzzy PID controller have been set in the Matlab to adjust the damping of the suspension, with the road excitation modeled through band-limited white noise. The result shows that the fuzzy PID controller has overcome the shortcomings of the PID controller and the fuzzy controller and a better control effect has been achieved.

Application of Compound PID Control in the DC Servo Motor

2009 ◽  
Vol 16-19 ◽  
pp. 145-149 ◽  
Author(s):  
Xiao Yan Song ◽  
Qing Jie Yang ◽  
Xue Ming Zhang ◽  
Qi Gao Feng
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Design Method ◽  
Servo System ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Controller ◽  
Performance Requirements

Although the traditional PID controller is widely used in many fields, the system parameters varying and external disturbances existing in the DC servo system will cause large overshoot or poor stability. To improve the performance of the PID controller, a compound servo control system combining the conventional PID control and the fuzzy control is presented to meet the demand of a vehicular antenna servo system in this paper. Incorporating the fuzzy control and the conventional PID control, this paper presents a design method of the fuzzy PID controller that is based on the fuzzy tuning rules and formed by integrating two above control ideas. Simulation results are presented to show the efficiency of the proposed controller. The practical control effect shows that the control system that adopts the fuzzy PID controller has better performance than that of the traditional PID control system, and meets the performance requirements of the servo system.

Study on Variable Universe Fuzzy PID Control for Landing Gear Based on MRF (Magneto-Rheological Fluid) Damper

2012 ◽  
Vol 233 ◽  
pp. 66-71 ◽  
Author(s):  
Shi Xing Zhu ◽  
Chan Juan Chen
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Landing Gear ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Variable Universe ◽  
Shock System ◽  
Magneto Rheological

Aircraft landing gear shock system model was established, The system vibration differential equation and state-space equation were deserved。Based on the general fuzzy PID controller, the idea of fuzzy PID controller and its application in shock absorber system were studied. Based on MATLAB, the system simulation model was established, and the fuzzy PID control of semi-active suspension is analyzed compared to variable universe fuzzy PID control. The results show that the variable universe fuzzy PID control had better control effect.

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.

The Application and Research on Electronic Load

2012 ◽  
Vol 566 ◽  
pp. 227-230
Author(s):  
Shi Chao He ◽  
Feng Kong
Keyword(s):  
Bp Neural Network ◽  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Controller ◽  
Fuzzy Function ◽  
Fuzzy Neural ◽  
Electronic Load ◽  
Better Than

At present，for the application of the fuzzy PID controller is analyzed in electronic load，this paper according to the shortcomings of the controller improved fuzzy neural PID controller, through the BP neural network to realize fuzzy function, the results shows that this method is feasible and efficient. Finally the method was simulated on MATLAB, the control effect of overshoot and time delay on the application of improved fuzzy neural PID control was confirmed better than the former methods.

Research on Application of Fuzzy PID Control in Linear Servo System

2013 ◽  
Vol 389 ◽  
pp. 556-562 ◽  
Author(s):  
Xiang Cheng Sun ◽  
Hai Chen Qin ◽  
Jian Kui Chen
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Servo System ◽  
Fuzzy Pid ◽  
Direct Drive ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Dynamic Tracking ◽  
Research On Application

Due to the nonlinearity, time-varying and load disturbance in linear servo system, the conventional PID control is hard to get an ideal control effect, this paper deduces the mathematical model of the permanent magnet linear synchronous motor (PMLSM) direct drive system, designs a fuzzy PID controller by combining fuzzy control with conventional PID control, adjust the parameters of PID controller in real time by making use of fuzzy control's ability of adjusting online. Simulation and experimental results show that the fuzzy PID controller is superior to the conventional PID controller in responsiveness, steady performance and dynamic tracking, which can shorten the positioning time, improve the system positioning accuracy.

Simulation Analysis of Electro-Pneumatic Proportional Fuzzy-PID Control System Based on AMESim/Simulink

2014 ◽  
Vol 945-949 ◽  
pp. 2568-2572
Author(s):  
Si Yuan Wang ◽  
Guang Sheng Ren ◽  
Pan Nie
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Proportional Control ◽  
Fuzzy Pid Controller ◽  
Design Requirements ◽  
Set Up

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.

scholarly journals Fuzzy-PID controller for an energy efficient personal vehicle: Two-wheel electric skateboard

2019 ◽  
Vol 9 (6) ◽  
pp. 5312
Author(s):  
Bambang Sumantri ◽  
Eko Henfri Binugroho ◽  
Ilham Mandala Putra ◽  
Rika Rokhana
Keyword(s):  
Energy Consumption ◽  
Pid Control ◽  
Energy Efficient ◽  
Pid Controller ◽  
Electric Energy ◽  
Fuzzy Pid ◽  
Electrical System ◽  
Fuzzy Pid Control ◽  
Electric Energy Consumption ◽  
Fuzzy Pid Controller

The two-wheeled electric skateboard (TWS) is designed for a personal vehicle. A Fuzzy-PID control strategy is designed and implemented for controlling its motion. Basically, motions control of the TWS is performed by balancing the pitch position of the TWS. Performance of the designed controller is demonstrated experimentally. The Fuzzy algorithm updates the PID gains and therefore it can handle the changing of the TWS load. Contribution of Fuzzy-PID in reducing the electric energy consumption, which is an important issue in electrical system, is also evaluated. The Fuzzy-PID successes to reduce the electric energy consumption of the TWS compared to the conventional PID.

Single Degree Vibration Platform Self-Tuning Fuzzy PID Controller Design Based on AMESim

2013 ◽  
Vol 310 ◽  
pp. 518-523
Author(s):  
Zhi Qiang Chao ◽  
Xin Ze Li ◽  
Ai Hong Meng
Keyword(s):  
Hydraulic System ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Simulation Software ◽  
Fuzzy Pid ◽  
Hydraulic Simulation ◽  
Fuzzy Pid Controller ◽  
Single Degree ◽  
Self Tuning

In recent years, hydraulic simulation has become an important means to research hydraulic system, in order to enable the single degree platform vibration curve with better traceability and reach the requirement of the test, this paper represent single degree system platform stimulated by simulation software AMESim, taking the Single degree freedom vibration hydraulic system as an example, MATlab/simulink is applied to the design of the vibration platform system fuzzy PID controller. Through the comparison between the simulation test and traditional PID controller, the designed self-tuning fuzzy controller can control the platform better, with smaller overshoot, faster response, shorter adjusting time, as well as fulfill the permissible accuracy.

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