Theory of Temperature Dynamic Control in Arch Dams and its Application

2012 ◽  
Vol 594-597 ◽  
pp. 738-741 ◽  
Author(s):  
Yin Duan ◽  
Xing Hong Liu ◽  
Xiao Lin Chang
Keyword(s):  
Real Time ◽  
Temperature Control ◽  
Control Method ◽  
Dynamic Control ◽  
Arch Dam ◽  
Real Time Control ◽  
New Techniques ◽  
Time Dynamic ◽  
Arch Dams ◽  
Time Control

Main factors of the temperature control and crack prevention in arch dams are summarized. The Space-time Dynamic Control method in pipe cooling process and the Temperature Real-time Control and Decision Database System are introduced to help for temperature real-time control and rapid analysis. Successful application of these new techniques in the construction of Dagangshan arch dam indicates that the proposed method are of significant effectiveness on the temperature control and crack prevention, and have good application prospect in practical project.

Real-Time Control Using Explicit Dynamic Solutions of a Two-Motion-Modes Mobile Robot

1994 ◽  
Vol 208 (3) ◽  
pp. 157-167 ◽  
Author(s):  
Y Y Cha ◽  
D G Gweon
Keyword(s):  
Mobile Robot ◽  
Real Time ◽  
Dynamic Control ◽  
Robot Dynamics ◽  
Real Time Control ◽  
Inverse Dynamic ◽  
Time Dynamic ◽  
Time Control ◽  
Motion Modes ◽  
Velocity Motion

In this study a two-motion-modes mobile robot is developed. The motion of the mobile robot is controlled by three d.c. servo-motors, two of which drive two wheels independently and one of which steers the wheels simultaneously. The two motion modes of the mobile robot, different velocity motion (DVM) and equal velocity motion (EVM), are analysed. Kinematic and dynamic analyses of the two motion modes are performed. For the implementation of real-time control considering mobile robot dynamics, the forward and inverse dynamic solutions are derived explicitly. Through a simulation, the path-tracking and control performance of the mobile robot considering dynamics is compared with the considering kinetics only, and the possibility of real-time dynamic control is proved.

Real-Time Dynamic Control of a Stewart Platform

2013 ◽  
Vol 390 ◽  
pp. 398-402 ◽  
Author(s):  
Nicolas Andres Ordoñez ◽  
Carlos Francisco Rodríguez
Keyword(s):  
Real Time ◽  
Control Strategy ◽  
Virtual Work ◽  
Dynamic Control ◽  
Parallel Robots ◽  
Torque Control ◽  
Real Time Control ◽  
Time Dynamic ◽  
Time Control ◽  
Stewart Gough Platform

This paper presents a real-time control strategy for the parallel robots such as the Stewart-Gough platform. The strategy is implemented using xPC Target (a Matlab toolbox), achieving sample rates higher than 1 kHz for the control loop. A modified explicit dynamic model, based on the virtual work principle, allows the formulation of dynamic control schemes, commonly used to control serial manipulators. Based on this approach, a computed torque control with friction compensation is implemented for a Stewart-Gough platform. Experimental results are compared with a classic uncoupled control strategy.

scholarly journals The Dynamic Control of the Light Signalling Device in Real-Time

2019 ◽  
Vol 292 ◽  
pp. 03014
Author(s):  
Jan Mrazek ◽  
Lucia Duricova Mrazkova ◽  
Martin Hromada ◽  
Jana Reznickova
Keyword(s):  
Real Time ◽  
Traffic Control ◽  
Dynamic Control ◽  
Traffic Density ◽  
Light Signaling ◽  
Dynamic Traffic ◽  
Real Time Control ◽  
Real Time Traffic ◽  
Time Control ◽  
Control Dynamic

The article is focused on the issue of interval on a light signaling device. Light signaling devices operate on different systems by means of which they are controlled. The control problem is a very static setting that does not respond to real-time traffic. Important variables for dynamic real-time control are traffic density in a selected area along with average speed. These variables are interdependent and can be based on dynamic traffic control. Dynamic traffic control ensures smoother traffic through major turns. At the same time, the number of harmful CO2 emitted from the means of transport should be reduced to the air. When used in low operation, power consumption should be reduced.

Design and Implementation of a Kind of Intelligent Electric Blanket Temperature Control System

2013 ◽  
Vol 432 ◽  
pp. 447-452
Author(s):  
Rong Li ◽  
Zhe Ming Duan ◽  
Wei Zhou ◽  
Bing Chao Dong
Keyword(s):  
Real Time ◽  
Temperature Control ◽  
Temperature Control System ◽  
Single Chip ◽  
Real Time Control ◽  
Loop Control ◽  
Relay Control ◽  
Time Control ◽  
Control Relay ◽  
Design And Manufacture

Temperature control is the key problem in the design and manufacture of electric blankets. In order to solve current technological failure to real-time control of the temperature of electric blanket, this paper applies technical means of DS18B20 temperature acquisition and relay control temperature heating, together with key circuit, display circuit as well as other auxiliary circuit, and the system achieved electric blanket working temperature real-time intelligent control. Relay output controlled the temperature closed loop control by single-chip microcomputer, and a new type of intelligent temperature control technology of electric blanket is developed, real-time temperature control is enhanced, which improved the security and energy conservation of electric blanket.

Joint Self-Tuning With Cartesian Setpoints

1986 ◽  
Vol 108 (2) ◽  
pp. 146-150 ◽  
Author(s):  
P. G. Backes ◽  
G. G. Leininger ◽  
Chun-Hsien Chung
Keyword(s):  
Real Time ◽  
Control Method ◽  
Hybrid Control ◽  
Pole Placement ◽  
Real Time Control ◽  
Time Control ◽  
Self Tuning ◽  
Cause Of Error ◽  
Time Position ◽  
Manipulator Control

A joint coordinate self-tuning manipulator control method is presented which uses Cartesian setpoints. The method is capable of both position and hybrid control. Position and force errors are transformed from Cartesian coordinates to position and force errors at the joints. The position and force errors at each joint are combined into one hybrid error that is eliminated using pole-placement self-tuning. Real time position and hybrid control results are given. No prior knowledge of manipulator or load dynamics is required and real time control results show that the goal of consistent control with changing load dynamics is achieved. The major cause of error in position and hybrid control is the large friction effects in the joints.

A Comparison of Runge Kutta and Novel L-Stable Methods for Real-Time Integration Methods for Dynamic Substructuring

2006 ◽  
Author(s):  
Alicia Gonzalez-Buelga ◽  
David Wagg ◽  
Simon Neild ◽  
Oreste S. Bursi
Keyword(s):  
Real Time ◽  
Experimental Testing ◽  
Time Integration ◽  
Delay Compensation ◽  
Real Time Control ◽  
Time Dynamic ◽  
Time Control ◽  
Dynamic Substructuring ◽  
Integration Algorithms ◽  
Runge Kutta

In this paper we compare the performance of Runge-Kutta and novel L-stable real-time (LSRT) integration algorithms for real-time dynamic substructuring testing. Substructuring is a hybrid numerical-experimental testing method which can be used to test critical components in a system experimentally while the remainder of the system is numerically modelled. The physical substructure and the numerical model must interact in real time in order to replicate the behavior of the whole (or emulated) system. The systems chosen for our study are mass-spring-dampers, which have well known dynamics and therefore we can benchmark the performance of the hybrid testing techniques and in particular the numerical integration part of the algorithm. The coupling between the numerical part and experimental part is provided by an electrically driven actuator and a load cell. The real-time control algorithm provides bi-directional coupling and delay compensation which couples together the two parts of the overall system. In this paper we consider the behavior of novel L-stable real-time (LSRT) integration algorithms, which are based on Rosenbrock's method. The new algorithms have considerable advantages over 4th order Runge-Kutta in that they are unconditionally stable, real-time compatible and less computationally intensive. They also offer the possibility of damping out unwanted high frequencies and integrating stiff problems. The paper presents comparisons between 4th order Runge-Kutta and the LSRT integration algorithms using three experimental configurations which demonstrate these properties.

SPC-Based Real-Time Control Method for CNC Machining Quality

2010 ◽  
Vol 42 ◽  
pp. 263-267
Author(s):  
Xin Long Kang ◽  
Dong Man Yu ◽  
Xue Ling Yang ◽  
Di Wang
Keyword(s):  
Real Time ◽  
High Precision ◽  
Control Method ◽  
Cnc Machining ◽  
Machining Process ◽  
Real Time Control ◽  
The Real ◽  
Machining Quality ◽  
Time Control ◽  
Process System

This paper presents the methods and applications for the real-time control of CNC machining process quality in detail and clarifies the objectives of SPC for CNC machining, in order to enhance the understanding of the factors that cause instability to process system. Also, this paper adopts the methods and procedures for SPC to effectively serve the production of high-precision products for enterprises, in order to meet customers’ requirements and expectations.

Real-Time Control and Data Exchange Method in Software CNC System Based on PC

2012 ◽  
Vol 241-244 ◽  
pp. 1392-1395
Author(s):  
Kun Qi Wang ◽  
Jing Wei Yang ◽  
Li Qun Lei
Keyword(s):  
Real Time ◽  
Data Exchange ◽  
Control Method ◽  
Interpolation Operator ◽  
Cnc System ◽  
Real Time Control ◽  
Exchange Method ◽  
Time Control ◽  
System Clock ◽  
Application Module

A new real-time control method for software CNC based on PC is proposed, and the data exchange methods are given. Both external and system clock interrupt are adopted as interpolation cycle to make up software CNC on PC. The data between the front procedures, interpolation module, and background procedures, application module, is exchanged by WDM. The method is verified in experiment, and the resolves show that the speed control and the interpolation operator are right, and whole software CNC is significantly improved.

Exact and Linearized Neural Predictive Control: A Turbocharged SI Engine Example

2007 ◽  
Vol 129 (4) ◽  
pp. 527-533 ◽  
Author(s):  
G. Colin ◽  
Y. Chamaillard ◽  
G. Bloch ◽  
A. Charlet
Keyword(s):  
Real Time ◽  
Linear Systems ◽  
Predictive Control ◽  
Control Method ◽  
Simulation Models ◽  
Real Time Control ◽  
Time Control ◽  
Non Linear ◽  
Non Linear Systems ◽  
Neural Predictive Control

This paper describes a real-time control method for non-linear systems based on model predictive control. The model used for the prediction is a neural network because of its ability to represent non-linear systems, its ability to be differentiated, and its simplicity of use. The feasibility and the performance of the method, based on on-line linearization, are demonstrated on a turbocharged spark-ignited engine application, where the simulation models used are very accurate and complex. The results, first in simulation and then on a test bench, show the implementation of the proposed control scheme in real time.

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