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.

Modeling and Simulation of Brushless DC Motor Speed Control System Based on MATLAB/SIMULINK

2014 ◽  
Vol 998-999 ◽  
pp. 755-758 ◽  
Author(s):  
Xue Lei Yue ◽  
Peng Bai
Keyword(s):  
Control System ◽  
Modeling And Simulation ◽  
Speed Control ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Current Loop ◽  
Matlab Simulink ◽  
Pwm Inverter ◽  
Brushless Dc ◽  
Speed Control System

Based on analysis of the mathematical model of the brushless DC motor (BLDCM), a method for modeling and simulation of BLDCM speed control system is developed in this paper. The simulation model of BLDCM could be established by combination of the functional blocks and S-functions in MATLAB/SIMULINK. In the double loop of control system, a PID controller was adopted in the speed loop and a current controller was completed in the current loop on the principle of hysteresis current track PWM inverter. The modeling method has merits in rapidity, practicality and has guiding significance to designing actual brushless DC motor control system.

Angular Position Control of Fluid-Driven Bi-Directional Motor

2010 ◽  
Vol 224 (11) ◽  
pp. 2350-2362 ◽  
Author(s):  
Y Nakao ◽  
M Ishikawa
Keyword(s):  
Control System ◽  
Rotational Speed ◽  
Disturbance Observer ◽  
Position Control ◽  
Angular Position ◽  
Speed Control ◽  
Load Torque ◽  
Speed Control System ◽  
Rotational Speed Control ◽  
Position Control System

This paper describes the design of a rotational speed-control system and an angular position-control system for a fluid-driven bi-directional motor. The fluid-driven bi-directional motor has a driving principle similar to that of the fluid-driven spindle, which is designed for use in ultra-precision machine tools. The fluid-driven bi-directional motor was designed so that it is driven by low viscosity oil flow power. In this paper, the rotational speed controller for the motor is first discussed. In order to reduce the influence of external load torque on the rotational speed, a conventional disturbance observer is combined with the rotational speed-control system. The angular position-control system, which possesses the rotational speed feedback loop with the disturbance observer in the angular position feedback loop, is then discussed. The designed rotational speed and angular position-control systems are conventional I—P control and proportional control systems, respectively. The performance of the designed rotational speed-control system and the angular position-control system is studied via simulations and experiments. The performance of the designed control system is tested by the step response method as well as by the frequency response method, respectively. The simulation and experimental results show that the rotational speed and the angular position of the motor can be controlled by the rotational speed controller and angular position controller, respectively. In addition, the influence of the external load torque acting on the motor is successfully compensated for by means of the disturbance observer. The experimental result shows that the designed angular position-control system suppresses the steady-state positioning error to less than 0.02°, even if external constant load torque acts on the motor.

Series valve speed control system: A new type of spark ignition engine speed control system without throttle

2018 ◽  
Vol 233 (5) ◽  
pp. 1345-1351
Author(s):  
Peiyan Sun ◽  
Xiang Li ◽  
Changzhong Man ◽  
Yunbang Tang ◽  
Yi Wan
Keyword(s):  
Control System ◽  
Fuel Consumption ◽  
Fuel Economy ◽  
Power Efficiency ◽  
Engine Speed ◽  
Speed Control ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Fuel Consumption Rate ◽  
Speed Control System

Spark ignition engines perform with low power efficiency and low fuel economy for which the throttling loss is the main reason. This paper introduces a new kind of intake control system-series valve speed control system that consists of two intake valves connected in series. It is operated without throttle to reduce the engine intake loss and thereby improve fuel economy under medium- and low-load working conditions. Through experiments, we confirm that compared with the basal spark ignition engine, the spark ignition engine with series valve speed control system can reduce fuel consumption, and the maximum fuel consumption rate can be increased up to 12% at the engine speed of 3000 r/min.

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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