Design of speed control system in biogas fuel generator set by using PID control method

2020 ◽  
Author(s):  
Arief Abdurrakhman ◽  
Bambang Lelono Widjiantoro ◽  
Herman Pratikno ◽  
Farida Iasha ◽  
Andi Rahmadiansyah
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Method ◽  
Speed Control ◽  
Speed Control System

Brushless DC Motor Speed Control System Based on Fuzzy PID Control

2014 ◽  
Vol 989-994 ◽  
pp. 3172-3176
Author(s):  
Yi Hui Zhang ◽  
Le Peng Song
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Method ◽  
Speed Control ◽  
Dc Motor ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Fuzzy Pid Control ◽  
Brushless Dc ◽  
Speed Control System

Brushless DC mo tor speed control system is a multivariate, strong coupling, non linear, time-varying complex system, but adopting traditional PID control method to carry ou t control is difficult to achieve good control effect A kind of PID controller with fuzzy algorithm setting on-line PID parameters automatically was designed and applied in brush less DC motor speed control system, using the voltage , speed and torque equation of brush less DC motor, according to the parameters of the mo tor, the controler adopts fuzzy theory to adjust the PID parameters, in order to obtain high-precision speed control Results of simulation experiment show that the fuzzy PID control method compared with normal PID control is with better control performance, non overshoot quick velocity response, higher control precision and good rubustness, which is insensitive to the parameter chattering and many disturbances.

Marine Diesel Engine Speed Control System Based on Fuzzy-PID

2012 ◽  
Vol 152-154 ◽  
pp. 1589-1594 ◽  
Author(s):  
Xiao Qun Shen ◽  
Yu Xiang Su
Keyword(s):  
Control System ◽  
Diesel Engine ◽  
Pid Control ◽  
Engine Speed ◽  
Speed Control ◽  
Marine Diesel Engine ◽  
Fuzzy Pid ◽  
Speed Governor ◽  
Speed Control System ◽  
Marine Diesel

The traditional PID control effect is not ideal when the controlled object is nonlinear and contains variable parameters. In order to adapt marine diesel engines to variable working conditions, the fuzzy-PID control method was proposed to be used in the speed control system of marine diesel engine to realize online adjustment of PID parameters. The composition of marine diesel engine speed control system was introduced, and the design of fuzzy–PID controller was analyzed in detail. The fuzzy-PID diesel engine speed governor was simulated through MATLAB. The simulation results show that fuzzy-PID can improve the system dynamic performance, reduce system oscillation and improve the response speed. The results also show that the fuzzy-PID marine diesel engine speed governor has high anti-interference ability and strong robustness.

Research on Applied Technology with PID Control Theory and Design Methods

2014 ◽  
Vol 886 ◽  
pp. 369-373 ◽  
Author(s):  
Chun Juan Han ◽  
Fa Cheng Rui
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Large Scale ◽  
Frequency Control ◽  
Rapid Development ◽  
Speed Control ◽  
Outer Loop ◽  
Fundamental Factor ◽  
Speed Control System

PID control (fuzzy control) is one of the earliest and most widely used control laws in process control applications. It can obtain satisfactory control results for most industrial objects. People use PID control (or PI, PD control) in a variety of controllers in frequency control system. However, with the rapid development of modern large-scale industry, and the degree of automation is getting higher and higher, the scope of applications in frequency control technology has been continuously expanding, while it has wider and deeper requirements for the performance of speed control system. AC drive system has uncertain factors, such as the existing parameter variability, load disturbance, nonlinear and strong coupling in under controlled AC motors, they will seriously affect the performance of speed control system. The traditional PID control seems a little powerless. The fuzzy control is a nonlinear control in essence, it can significantly improve the robustness of the system comparing to linear PI controller, and it can more effectively overcome various nonlinear factors in transmission system. For a multi-loop speed control system, the outer loop is the fundamental factor in determining the system performance. Inner loop is mainly for changing object properties in order to facilitate the controlling actions of the outer loop. The sampling frequency of inner loop is lower than the one in outer loop, which is facilitating for the realization of intelligent control.

scholarly journals Research on Fuzzy PID Control of Physical Exercise Supporting Robot Speed Control System

2020 ◽  
Vol 782 ◽  
pp. 022052
Author(s):  
Xiaoping Gou ◽  
Wanjun Zhang ◽  
Jingxuan Zhang ◽  
Jingyi Zhang ◽  
Jingyan Zhang
Keyword(s):  
Control System ◽  
Physical Exercise ◽  
Pid Control ◽  
Speed Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Speed Control System

Optimization of the Elevator Speed Control System

2011 ◽  
Vol 101-102 ◽  
pp. 405-409
Author(s):  
Wen Yu ◽  
Li Xu ◽  
Shu Li Sun
Keyword(s):  
Control System ◽  
Social Development ◽  
Control Method ◽  
Speed Control ◽  
New Method ◽  
Speed Control System

In order to meet the demand of social development, improve the speed and comfort during elevator running process, the elevator speed control system is studied in this article. One new elevator speed control method is put forward. The implementing process of the new method and the design of elevator speed curve are elaborated in detail. The new control method has good utility in improving the running efficiency and the riding comfort for the elevator.

Design and Simulation of Fuzzy-PID DC Governor System Based on Mine Hoist

2013 ◽  
Vol 341-342 ◽  
pp. 834-838
Author(s):  
Yan Xiang Wu ◽  
Chao Jun Zhang ◽  
Hai Bo Huo ◽  
Chao Qun Zhou
Keyword(s):  
Control System ◽  
Pid Control ◽  
Closed Loop ◽  
Speed Control ◽  
Fuzzy Pid ◽  
Matlab Simulink ◽  
Control Scheme ◽  
Speed Control System ◽  
Mine Hoist

According to the requirement of smooth operation and accurate positioning for DC speed regulating system of mine hoist, a new speed control system that based on double closed-loop of Fuzzy-PID was designed. The best control scheme for mine hoist was also validated by simulation comparison with conventional PID control system in the MATLAB/Simulink. The result showed that the proposal was feasible and had practical value.

Research and Design of DC Blushless Motor Speed Control System Based on Single Neuron PID Control

2013 ◽  
Vol 347-350 ◽  
pp. 322-326
Author(s):  
Qiao Hong Li ◽  
Fang Hou
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Single Neuron ◽  
Speed Control ◽  
Motor Speed ◽  
Brushless Dc ◽  
Brushless Motor ◽  
Speed Control System ◽  
Adaptive Pid Control

The speed regulating system of DC blushless motor was mostly studied. This paper is based on a simplified mathematical model of Brushless DC motor which was consisted of the traditional PID and single neurons. In the Simulink environment, it is established by the control algorithm of single neuron adaptive PID brushless DC motor speed control system closed loop simulation model. From simulation results, the single neuron adaptive PID control system of DC brushless motor has excellent dynamic and static performance. Based on the analysis of DC blushless motor speed control system and simulation results of the neural network control algorithm, hardware of the digital control system for DC brushless motor is designed with control center of high performance microcontroller 80C196KC,which is of single neuron adaptive PID control algorithm.

A New Application of Fuzzy Control - Fuzzy Control System of Cutting Motor in Hi-Frequency Straight Welded Tube Process

2011 ◽  
Vol 58-60 ◽  
pp. 1194-1199
Author(s):  
Ning Gao ◽  
Li Peng ◽  
Lin Hai Wu ◽  
Jun Jie Jiang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Speed Control ◽  
Simulation Test ◽  
Fuzzy Control System ◽  
Welded Tube

Because of the nonlinear of the cutting motor which is used in hi-frequency straight welded tube process, this paper designs a fuzzy control method used in the speed control system of the cutting motor. Furthermore, simulation test shows the control system that uses the fuzzy controller has better performances than that of the traditional PID control, which improve the dynamic performance, disturbance restraint performance and the steady precision.

Motor Control System Based on DSP Four-Bridge Arm Topology

2014 ◽  
Vol 644-650 ◽  
pp. 553-558
Author(s):  
Juan Feng
Keyword(s):  
Motor Control ◽  
Control System ◽  
Control Method ◽  
Dimensional Space ◽  
Asynchronous Motor ◽  
Speed Control ◽  
Torque Ripple ◽  
Space Vector ◽  
Speed Control System ◽  
Motor Control System

This paper proposes a space vector motor control system based on DSP four-legged bridge topology A three-dimensional space vector control principle based on four-bridge arm three-phase inverter is introduced with a MATLAB model using space vector Motor Control Algorithm instead of traditional Motor Control method. A DSP experimental setup is also carried out to verify the control theory and simulation result. The experiment and simulation results show that the speed control system helps the asynchronous motor to achieve the consistent response characteristics with separately excited DC machine. When the motor doesn't work or the load is unstable, asynchronous motor can still achieve excellent electrical characteristics with the proposed speed control system, such as quick start, small overshoot and static torque ripple.

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