Optimization of Energy Consumption in The Residential Sector, Using Automated Control Systems

2017 ◽  
Author(s):  
A.B. Zhdanova
Keyword(s):  
Energy Consumption ◽  
Control Systems ◽  
Automated Control ◽  
Residential Sector

Technology of Information Safety Control in Automated Control Systems

2005 ◽  
Vol 63 (4) ◽  
pp. 295-304
Author(s):  
Ya. E. Lvovich ◽  
A. S. Dubrovin ◽  
E. A. Rogozin ◽  
V. I. Sumin
Keyword(s):  
Control Systems ◽  
Automated Control ◽  
Safety Control ◽  
Information Safety

Energy Consumption Pattern of Residential Buildings: Case Study of Residential Area in Batu Pahat, Johor

2020 ◽  
Vol 12 (9) ◽  
Author(s):  
Junaidah Jailani ◽  
◽  
Norsyalifa Mohamad ◽  
Muhammad Amirul Omar ◽  
Hauashdh Ali ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Residential Buildings ◽  
Residential Area ◽  
Consumption Pattern ◽  
Air Conditioners ◽  
Residential Sector ◽  
Waste Energy ◽  
Main Factor ◽  
Energy Consumption Pattern

According to the National Energy Balance report released by the Energy Commission of Malaysia in 2016, the residential sector uses 21.6% of the total energy in Malaysia. Residents waste energy through inefficient energy consumption and a lack of awareness. Building occupants are considered the main factor that influences energy consumption in buildings, and to change energy consumption on an overall scale, it is crucial to change individual behaviour. Therefore, this study focused on analysing the energy consumption pattern and the behaviour of consumers towards energy consumption in their homes in the residential area of Batu Pahat, Johor. A self-administrated questionnaire approach was employed in this study. The findings of this study showed that the excessive use of air conditioners was a significant factor in the increasing electricity bills of homeowners as well as the inefficient use of electrical appliances. Also, this study determined the effect of awareness on consumer behaviour. This study recommends ways to help minimise energy consumption in the residential area.

The effect of pressure on the compressibility of aluminum alloys

2020 ◽  
pp. 102-107
Keyword(s):  
Mechanical Properties ◽  
Mathematical Model ◽  
Liquid Metal ◽  
Control Systems ◽  
Physical And Mechanical Properties ◽  
Reliable Data ◽  
Output Process ◽  
Automated Control ◽  
Input And Output ◽  
Crystallization Under Pressure

To obtain reliable data on the properties of liquid metal and create automated control systems, the technological process of molding with crystallization under pressure is studied. A mathematical model of the input and output process parameters is developed. It is established that the compressibility of the melt can represent the main controlled parameter influencing on the physical-mechanical properties of the final products. The obtained castings using this technology are not inferior in their physical and mechanical properties to those produced by forging or stamping.

ANALYSIS AND MANAGEMENT OF RISKS, CONCERNED WITH INFORMATION SUPPORT OF HUMAN-MACHINE AUTOMATED CONTROL SYSTEMS, OPERATING IN REAL TIME

2016 ◽  
Vol 34 (2) ◽  
pp. 082-097
Author(s):  
Dmitrij Yu. Uchaev ◽  
◽  
Yurij M. Brumshteyn ◽  
Iskandar M. Azhmukhamedov ◽  
Oksana M. Knyazeva ◽  
...  
Keyword(s):  
Control Systems ◽  
Real Time ◽  
Information Support ◽  
Automated Control

INTELLIGENT MNEMONIC EDITOR IN ELECTRIFICATION

2020 ◽  
Author(s):  
V.А. Shelest ◽  
◽  
N.I. Ncygulev ◽  
А.P. Sinegubow
Keyword(s):  
Electric Power ◽  
Control Systems ◽  
Preliminary Assessment ◽  
Automated Control ◽  
Current State ◽  
Power Facility ◽  
Control And Management ◽  
Object Of Control

The article deals with the issues of improving the editors of mnemonic diagrams embedded in the programs of automated control systems for electric power facilities. It is proposed to extend the functions of mnemonic circuit editors from the usual modification of the mnemonic circuit in accordance with the reconstruction of the object of control and management to the formation of modified circuit diagrams and wiring diagrams of secondary circuits. In addition, a preliminary assessment was made of the possibility of analyzing the current state of the electric power facility and making recommendations for its management.

A description of two automated control systems for the electron microprobe

1976 ◽  
Vol 5 (4) ◽  
pp. 180-187 ◽  
Author(s):  
M. T. Frost ◽  
K. O'Hara ◽  
P. Suddaby ◽  
G. Grant ◽  
A. F. Reid ◽  
...  
Keyword(s):  
Control Systems ◽  
Electron Microprobe ◽  
Automated Control

A Dynamic Simulation Model of Industrial Robots for Energy Examination Purpose

2015 ◽  
Vol 805 ◽  
pp. 223-230 ◽  
Author(s):  
Paryanto ◽  
Alexander Hetzner ◽  
Matthias Brossog ◽  
Jörg Franke
Keyword(s):  
Energy Consumption ◽  
Control Systems ◽  
Feedback Linearization ◽  
Coulomb Friction ◽  
State Of The Art ◽  
Industrial Robot ◽  
Motor Drives ◽  
Industrial Robots ◽  
Dynamic Simulation Model ◽  
Linear Damping

In this paper, a modular dynamic model of an industrial robot (IR) for predicting and analyzing its energy consumption is developed. The model consists of control systems, which include a state-of-the-art feedback linearization controller, permanent magnet synchronous drives and the mechanical structure with Coulomb friction and linear damping. By using the developed model, a detailed analysis of the influence of different parameter sets on the energy consumption and loss energy of IRs is investigated. The investigation results show that the operating parameters, robot motor drives, and mechanical damping and elasticity of robot transmissions have a significant effect on the energy consumption and accuracy of IRs. However, these parameters are not independent, but rather interrelated. For example, a higher acceleration and velocity shortens IRs’ operating periods, but needs a greater motor current, tends to excite vibrations to a greater extent, and thus produces a higher amount of loss energy.

scholarly journals Information processing using the Kalman filter in Matlab Simulink

2021 ◽  
pp. 49-62
Author(s):  
Vladimir F. Telezhkin ◽  
◽  
Bekhruz B. Saidov ◽  
Keyword(s):  
Kalman Filter ◽  
Control Systems ◽  
Measurement Data ◽  
Control Device ◽  
Software Systems ◽  
Automated Control ◽  
Matlab Simulink ◽  
Software Algorithms ◽  
And Performance ◽  
Filter Noise

In this paper, we investigate the problem of improving data quality using the Kalman filter in Matlab Simulink. Recently, this filter has become one of the most common algorithms for filtering and processing data in the implementation of control systems (including automated control systems) and the creation of software systems for digital filtering from noise and interference, for example, speech signals. It is also widely used in many fields of science and technology. Due to its simplicity and efficiency, it can be found in GPS receivers, in devices for processing sensor readings for various purposes, etc. It is known that one of the important tasks that should be solved in systems for processing sensor readings is the ability to detect and filter noise. Sensor noise leads to unstable measurement data. This, of course, ultimately leads to a decrease in the accuracy and performance of the control device. One of the methods that can be used to solve the problem of optimal filtering is the development of cybernetic algorithms based on the Kalman and Wiener filters. The filtering process can be carried out in two forms, namely: hardware and software algorithms. Hardware filtering can be built electronically. However, it is less efficient as it requires additional circuitry in the system. To overcome this obstacle, you can use filtering in the form of programming algorithms in a single method. In addition to the fact that it does not require electronic hardware circuitry, the filtering performed is even more accurate because it uses a computational process. The paper analyzes the results of applying the Kalman filter to eliminate errors when measuring the coordinates of the tracked target, to obtain a "smoothed" trajectory and shows the results of the filter development process when processing an electrocardiogram. The development of the Kalman filter algorithm is based on the procedure of recursive assessment of the measured state of the research object.

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