Simulation of Fuzzy PID Control for a Large Containership Speed at Slow Steaming Condition

2015 ◽  
Vol 713-715 ◽  
pp. 734-738
Author(s):  
Cong Guan ◽  
Hui Chen ◽  
Hai Bo Gao
Keyword(s):  
Control System ◽  
Pid Control ◽  
Dynamic Performance ◽  
Response Speed ◽  
Mean Value ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Slow Steaming ◽  
Engine Model ◽  
Ship Speed

In this paper, a cycle mean value engine model was built, and the ship propulsion system model was developed by combining the engine model with propeller and ship model following a modular approach in MATLAB/Simulink environment. In addition, the fuzzy PID control theory was investigated and applied in the ship speed intelligent control system under different disturbance circumstances with emphasis at slow steaming condition. Finally, the simulation results indicate that the fuzzy PID controller can improve the dynamic performance of the ship speed control system, decrease oscillation as well as increase response speed.

Simulation Research on Fuzzy PID Control for Transmission Shaft Rolling Control System

2014 ◽  
Vol 543-547 ◽  
pp. 1355-1359
Author(s):  
Jin Ying Meng ◽  
Xi Bin Wang ◽  
Zhi Qiang Liang ◽  
Jia Jie Pei ◽  
Tian Feng Zhou
Keyword(s):  
Control System ◽  
Pid Control ◽  
Dynamic Performance ◽  
Response Speed ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Nonlinear Properties ◽  
Fuzzy Pid Controller ◽  
Transmission Shaft

The transmission shaft rolling control system is characterized by time-varying and nonlinear properties. To improve the system's dynamic performance and of anti-interference ability, fuzzy PID control is proposed to apply to transmission shaft rolling control system. The mathematical model of the control system is built and a fuzzy PID controller is designed based on the fuzzy control theory. By using MATLAB/Simulink tool for comparison, the simulation results show that the fuzzy PID control compared with the conventional PID control, has improved the system's dynamic response speed by 0.04s. By amplitude 1 interference effect, the system's maximum overshoot is reduced by 3.4%.

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.

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.

scholarly journals Pengendalian Kestabilan Ketinggian pada Penerbangan Quadrotor dengan Metode PID Fuzzy

2017 ◽  
Vol 7 (1) ◽  
pp. 61 ◽  
Author(s):  
Panca Agung Kusuma ◽  
Andi Dharmawan
Keyword(s):  
Control System ◽  
Steady State ◽  
Response Time ◽  
Pid Control ◽  
Control Method ◽  
Mean Value ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Common Control ◽  
State Error

 Quadrotor is a kind of unmanned aerial vehicle that have the ability to take of vertically and maintaining its position while flying mid-air. Flying a quadrotor sometimes needs a stable altitude to perform a specific mission. A stable altitude will make easier for pilot to control the movement of the quadrotor to certain direction.This study designed and implemented a system that can stabilises the altitude of a quadrotor by using Fuzzy-PID method. Altitude control system needed to help pilot controls the altitude stability without adjusting the throttle. Control with PID method is a common control system to be implemented on a quadrotor. This control system has a constant that can be tuned with fuzzy logic with linguistic approach to improve the response time when compensating an error.  The result of this study shows that Fuzzy PID control method generate a better response time compared with the PID-only method. The implementation of PID control generate an altitude stabilisation with a mean value steady state error of ±1,86 cm, whereas the PID Fuzzy generate a mean value of steady state error of ±1,22 cm.

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.

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.

The Application of Adaptive Fuzzy PID in the Liquid Level Cascade Control System

2013 ◽  
Vol 846-847 ◽  
pp. 321-324 ◽  
Author(s):  
Le Peng Song ◽  
Hua Bin Wang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Cascade Control ◽  
Liquid Level ◽  
Water Tank ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Cascade Control System ◽  
Self Adaptive

As liquid level cascade system has the character the issue of non-linearity ,time variability and the overshoot,tradition PID control can not meet the requirement of precise molding system. So devise a self-_ adaptive fuzzy PID control .A self-_ adaptive fuzzy PID control combined PID to control calculate way and faintness to control the advantage of method, this text permits water tank to carry on mathematics model to design the double permit a water tank liquid misty PID string class control system. Matlab/Simulink and fuzzy logic toolbox are simulated to the single loop PID control system,the cascade control system and the cascade control system based on fuzzy self-tuning PID were simulated with Simulink. The analysis and simulation results indicate that the character issue of non-linearity ,time variability and the overshoot of the liquid level cascade control system based on a self-_ adaptive fuzzy PID controller are superior to previous of two methods.

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