Steady-state characteristics and estimation of system stability of automatic speed control system of static kraemer system

1982 ◽  
Vol 102 (2) ◽  
pp. 43-51
Author(s):  
Toshiaki Murata ◽  
Ikuo Takeda
Keyword(s):  
Control System ◽  
Steady State ◽  
Speed Control ◽  
System Stability ◽  
Speed Control System

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.

scholarly journals Measurement, Modeling, and Optimization Speed Control of BLDC Motor Using Fuzzy-PSO Based Algorithm

2021 ◽  
Vol 5 (1) ◽  
pp. 17-25
Author(s):  
Izza Anshory ◽  
Dwi Hadidjaja ◽  
Indah Sulistiyowati
Keyword(s):  
Control System ◽  
Steady State ◽  
Rise Time ◽  
Speed Control ◽  
Physical Parameters ◽  
Control Methods ◽  
Bldc Motor ◽  
Motor Speed ◽  
Modeling And Optimization ◽  
Speed Control System

Measurement, modeling, and optimization are three important components that must be done to get a better system on the BLDC motor speed control system. The problem that arises in the BLDC motor speed control system is the instability indicated by a high overshoot value, a slow rise time value, and a high error steady-state. The purpose of this study is to increase the stability indicator by eliminating the high value of overshoot and error steady-state and increasing the value of the rise time. The method used in this research is to measure the input and output physical parameters, to model the BLDC motor plant mathematically and the last is to perform optimization using several control methods such as Proportional Integral Derivative (PID) control, fuzzy logic intelligent control, and Particle Swarm Optimization algorithm. (PSO). Experimental and simulation results show that the PSO algorithm has a better value in increasing stability indicators when compared to the other two control methods with a rise time of 0.00121 seconds, settling time of 0.00241 seconds, and overshoot of 0%.

scholarly journals Laboratory Tests of a Speed Control System for Roadheader Cutting Heads

2018 ◽  
Vol 1 (1) ◽  
pp. 153-159 ◽  
Author(s):  
Jarosław Joostberens ◽  
Adam Heyduk
Keyword(s):  
Control System ◽  
Power Efficiency ◽  
Laboratory Tests ◽  
Angular Position ◽  
Speed Control ◽  
Operating Conditions ◽  
System Stability ◽  
Pwm Inverter ◽  
Speed Control System ◽  
Control Circuits

Abstract The paper presents selected results of the laboratory tests of the speed control system for the R-130 roadheader with an inverter-fed cutting heads drive. The results recorded for the variable speed system have been compared with the measurement obtained for the network supplied drive. There have been noticed some oscillations after rapid current overloads. They are due to the operation of the internal current controller of the PWM-inverter, The oscillations are fast decaying - so they prove the results of initial system stability checking. Generally, the automatic speed control, tracking the optimum speed level calculating by supervisory speed adjuster makes possible to better utilize the motor power throughout the whole cutting time. The better operating conditions of the motor cause increase in the whole system power efficiency (even in spite of additional losses in the inverter circuit) Additionally the sped control reduces dynamical overloads. This fact can have a positive influence on the whole system reliability. The speed control subsystem is a part of the whole control system which contains also close-loop boom angular position and velocity control circuits.

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.

The Modeling of Steam Turbine Speed Control System Based on Radial Basis Function Neural Network

2010 ◽  
Vol 139-141 ◽  
pp. 1822-1826
Author(s):  
Yong Ren ◽  
Tao Yang ◽  
Wei Gao ◽  
Yang Hai Li
Keyword(s):  
Neural Network ◽  
Control System ◽  
Radial Basis Function ◽  
Basis Function ◽  
Speed Control ◽  
Power System Stability ◽  
System Stability ◽  
Stability Studies ◽  
Speed Control System ◽  
Turbine Speed

The model of speed control system plays an important role in power system stability studies, the non-linear properties prevent us from getting accurate mechanism model. In this paper, the radial basis function neural network with self-structuring and fast convergence is used in the modeling of steam turbine speed control system in the modeling process, also, this paper presents a method which combines particle swarm optimization algorithm and least-squares algorithm for the neural network’s training, it has the property of high accuracy and fast convergence, after training, the proposed model and related training algorithm are verified by the test data of one power plant, it has proved that the neural network can be used in the modeling of the speed control system for the power system stability studies.

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