scholarly journals Propeller Speed Control System on Autonomous Quadcopter with Variations in Load Fulcrum Point

2021 ◽  
Vol 12 (3) ◽  
pp. 163
Author(s):  
Ratna Aisuwarya ◽  
Ibrahim Saputra ◽  
Dodon Yendri
Keyword(s):  
Control System ◽  
Steady State ◽  
Pid Control ◽  
Balance Control ◽  
Speed Control ◽  
Unmanned Vehicles ◽  
Pitch Motion ◽  
State Tests ◽  
Speed Control System

The need for unmanned vehicles is increasingly needed in certain conditions, such as distribution of disaster supply, distribution of medicines, distribution of vaccines in the affected areas in pandemic situations. The various types of goods to be distributed require a different fulcrum. This research implemented PID control for the quadcopter balance control system to achieve stability during hovering. PID control is used to achieve a certain setpoint to produce the required PWM output for the propeller to reach a speed that can fly the quadcopter tilted until it reaches a steady state. Tests were carried out on the roll and pitch motion of the quadcopter by providing a load. The results show that PID control can be implemented for the quadcopter balance control system during hovering by determining the PID constants for each roll and pitch motion with the constanta of Kp = 0.15, Kd = 0.108, and Ki = 0.05. The quadcopter takes 3 – 6 seconds to return to the 0 degree setpoint when it is loaded.

Research on Power Regulation Schedule Control System for Turboprop Engine

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Tianqian Xia ◽  
Xianghua Huang
Keyword(s):  
Control System ◽  
Steady State ◽  
Fuel Consumption ◽  
Reference Model ◽  
Sliding Mode ◽  
Speed Control ◽  
Variable Speed ◽  
Turboprop Engine ◽  
Speed Control System ◽  
Variable Speed Control

Abstract A method of variable speed control system for turboprop engine is presented in this paper. Firstly, the steady operation state of turboprop engine is analyzed, and the operating line is figured out in the steady state characteristic diagram, which is the design basis of Engine Thrust Management System (ETMS). Secondly, the reference model sliding mode multivariable control is used to design the control law to follow the speed instructions given by ETMS. Finally, the optimization of the minimum fuel consumption operating curve is realized, and the control system designed is applied to a numerical model of a turboprop engine. The simulation results show that compared with the constant speed control system, the variable speed control system can reduce the specific fuel consumption by 2.37 % on average and 3.1 % in steady state conditions. Furthermore, the method can enable the pilot to manipulate the turboprop aircraft by using only one throttle lever, which can greatly reduce the pilot operation burden.

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

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

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.

Modeling and Simulation of Parameter Self-Tuning Fuzzy PID Controller for DC Motor Speed Control System

2012 ◽  
Vol 195-196 ◽  
pp. 1003-1007 ◽  
Author(s):  
Chi Xue ◽  
Hui Zhu ◽  
Biao Yu
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Pid Control ◽  
System Analysis ◽  
Speed Control ◽  
Dc Motor ◽  
Motor Speed ◽  
Fuzzy Pid Controller ◽  
Speed Control System ◽  
Self Tuning

The establishment of DC motor system model is an important part of its control system analysis, this paper introduces the traditional method of modeling and the application of parameter self-tuning fuzzy logic PID control in the simulation and experimental research of variable speed control system for DC electric motor. In MATLAB / SMULINK simulation environment, high robustness and precision are obtained. The simulation results show that fuzzy logic PID control strategy has better performances than traditional controllers.

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