Research and Simulation Base on Asynchronous Motor Soft Starter

2011 ◽  
Vol 403-408 ◽  
pp. 3615-3619
Author(s):  
Gang Zhao ◽  
Lei Wang
Keyword(s):  
Asynchronous Motor ◽  
Paper Analysis ◽  
Matlab Simulation ◽  
Control Effect ◽  
Squirrel Cage ◽  
Current Limit ◽  
Soft Starter ◽  
Voltage Ramp ◽  
Voltage Limit ◽  
The Impact

Soft-Starter is a new equipment and it is used to control Squirrel-Cage Induction Motors because of its pefect control effect, compared with the traditional Start method. This paper analysis the superiority of Voltage Ramp and current limit control algorithm.The MATLAB simulation result base on 4.7KW Motor shown that the soft-starter can be used to Reduce the start voltage, limit start Current and Reduce the impact on power. Correctness and validity of algorithms is verified by simulation results.

An Asynchronous Motor Soft-Starter with Discrete Variable Frequency Technology

2012 ◽  
Vol 263-266 ◽  
pp. 686-690
Author(s):  
Yao Yan ◽  
Hong Hua Wang
Keyword(s):  
Asynchronous Motor ◽  
Paper Analysis ◽  
Positive Sequence ◽  
Variable Frequency ◽  
Discrete Variable ◽  
Power Circuit ◽  
Pid Algorithm ◽  
Current Limit ◽  
Soft Start ◽  
Soft Starter

This paper analysis the control principle of the asynchronous motor soft-start with discrete variable frequency technology．A simulation model for the asynchronous motor soft-starter using discrete variable frequency technology is built based on MATLAB SIMULINK/POWER SYSTEM．In start process, positive sequence sub - frequency such as 13、10、7、4 discrete variable frequency is used in the soft-starter to simplified power circuit and its control. While on the power frequency time slice ,a single neuron PID algorithm is used to limit the current. The simulation results verify the asynchronous motor soft-starter with discrete variable frequency technology not only reduces the initial firing current but also has bigger start torque, which has a faster start speed compared with the normal soft starter with current limit starting control technology.

Fuzzy Parameters PID Control and Simulation Experiment of Permanent Magnet Linear Synchronous Motor

2011 ◽  
Vol 383-390 ◽  
pp. 2608-2611 ◽  
Author(s):  
Xiao Yu Qin ◽  
Sun Hua
Keyword(s):  
Permanent Magnet ◽  
Pid Control ◽  
Speed Control ◽  
Linear Motor ◽  
Matlab Simulation ◽  
Control Effect ◽  
Control Comparison ◽  
Optimizing Control ◽  
The Impact ◽  
Fuzzy Parameters

On PID control and fuzzy control in permanent magnet synchronous linear motor (PMLSM) there is some shortage. Control for linear motor characteristics of vulnerable parameter perturbation is proposed based on fuzzy self-optimizing control algorithm to reduce the dependence on the model. GA algorithm using the parameters of fuzzy algorithm self-optimizing tuning, the motor can be reduced to some extent the impact of changes in their model, and improve the control effect. Finally, Matlab simulation of the PMLSM traditional PID speed control with fuzzy parameters self-optimizing speed control comparison, the results show that the fuzzy parameters self-optimizing control is better than traditional PID control.

Research on Intelligent Soft Starting Method for Three-Phase Asynchronous Motor Based on MATLAB

2011 ◽  
Vol 299-300 ◽  
pp. 828-831
Author(s):  
Yan Feng Zhu
Keyword(s):  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Asynchronous Motor ◽  
Control Effect ◽  
Starting Current ◽  
Soft Starter ◽  
Three Phase ◽  
Adaptive Pid Control ◽  
Fuzzy Adaptive

Considering the very large direct starting current of three-phase asynchronous motor, this paper presents a design method of asynchronous motor soft starter based on a intelligent control- fuzzy adaptive PID control. The simulation model of the soft starting control system is established with the power system blockset in MATLAB/SIMULINK software. The simulation results show that the fuzzy adaptive PID control method can effectively limit the motor starting current and it is better than the control effect of traditional PID control. Therefore, the fuzzy adaptive PID control scheme presented in this paper is correct and feasible.

Impact of Corporate Governance on the Cash Holding of the Firms: An Empirical Study of Indian Manufacturing Sector

GIS Business ◽  
2017 ◽  
Vol 12 (4) ◽  
pp. 47-52
Author(s):  
Karam Pal Narwal ◽  
Sonia Jindal
Keyword(s):  
Corporate Governance ◽  
Audit Committee ◽  
Manufacturing Sector ◽  
Control Variable ◽  
Cash Holding ◽  
Executive Directors ◽  
Control Effect ◽  
Board Size ◽  
Indian Manufacturing Sector ◽  
The Impact

The paper empirically examines the impact of corporate governance on the cash holding of the firms. The components of corporate governance are measured by board size, board meeting, audit committee members, directors remuneration and non executive directors and the cash holding is measured with the log of average cash and size is taken as control variable for the control effect on the dependent variables. Moreover, correlation and panel regression model were employed to examine the relationship between the corporate governance and cash holding. Empirical data was collected from 96 firms over the period of 2004-05 to 2013-14. The results show that directors remuneration and the number of audit committee members positively influence the cash holding and the board size also positively influences the cash holding whereas, the non executive directors and the board meetings do not play any role in enhancing the cash holding.

The Research of Air Precooling System Based on Generalize Predictive Control Strategy

2013 ◽  
Vol 433-435 ◽  
pp. 1091-1098
Author(s):  
Wei Bo Yu ◽  
Cui Yuan Feng ◽  
Ting Ting Yang ◽  
Hong Jun Li
Keyword(s):  
Predictive Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Exchange Process ◽  
Generalized Predictive Control ◽  
Matlab Simulation ◽  
Control Effect ◽  
Heat Exchange Process ◽  
Complex Control System ◽  
And Control

The air precooling system heat exchange process is a complex control system with features such as: nonlinear, lag and random interference. So choose Generalized Predictive Control Algorithm that has low model dependence, good robustness and control effect, as well as easy to implement. But due to the large amount of calculation of traditional generalized predictive control and can't juggle quickness and overshoot problem, an improved generalized predictive control algorithm is proposed, then carry out the MATLAB simulation, the experimental results show that the algorithm can not only greatly reduce the amount of computation, but also can restrain the overshoot and its rapidity.

Practical Optimization of Industrial Gravel Size in Gravel Packed Well

2011 ◽  
Vol 201-203 ◽  
pp. 383-387
Author(s):  
Jin Gen Deng ◽  
Yu Chen ◽  
Li Hua Wang ◽  
Wen Long Zhao ◽  
Ping Li
Keyword(s):  
Design Method ◽  
Control Measures ◽  
Control Effect ◽  
Gravel Layer ◽  
Gravel Size ◽  
Sand Control ◽  
Gravel Packing ◽  
Gravel Pack ◽  
The Impact ◽  
Computing Method

In the design of gravel packing sand control, the reasonable selection of gravel size is one of the keys to implementing sand control measures successfully. Aiming at the defects of commonly used methods of gravel size design and the characteristic that the gravel used in field operation is actually a mixture of gravel with multiple grain diameters, this paper builds a model of pore structure in gravel layer through researching the gravel pack structure caused by the gravel of two grain diameters mixed under actual packing conditions, calculates and analyzes the pore sizes in gravel layer. Ultimately, based on Saucier method, this paper presents a new gravel size optimization idea for gravel packing sand control with multiple grain diameters mixed, which agrees with the actual situation of industrial gravel, and gives the idea’s computing method. Considering the ideality of the model in this paper, the author has modified the computing method to make it more fit for the actual packing situation. This gravel size design method also gives consideration to the impact of formation sand uniformity on sand control effect, so it have the characteristics of good practicability, wide applicability and more accurate than other conventional methods.

scholarly journals The Impact of Intervention to Routine Surveillance of Natural Focal Diseases During the Outbreak of COVID-19 in Jiangsu Province, China

2020 ◽  
Author(s):  
Jianli Hu ◽  
Xiaoqing Cheng ◽  
Li Luo ◽  
Zeyu Zhao ◽  
Nan Zhang ◽  
...  
Keyword(s):  
Lower Limit ◽  
Urban Areas ◽  
Virus Disease ◽  
Hemorrhagic Fever ◽  
Nonparametric Tests ◽  
Jiangsu Province ◽  
Control Effect ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
The Impact

Abstract Background: With the strength intervention of China, the outbreak of Severe Acute Respiratory Syndrome-Coronavirus 2 (SARS-CoV-2) had a great control effect. The measures may influence the development and progression of others infectious diseases.Method: The data of daily coronavirus virus disease 2019 (COVID-19) confirmed cases from January 3, 2020 to April 30, 2020 and natural focal disease cases from January, 2005 to April, 2020 were collected from Jiangsu Provincial Center for Disease Control and Prevention (Jiangsu Provincial CDC). We describe and compare the data of natural focal diseases from January to April, 2020 with the same months from 2015 to 2019 in the four aspects: trend of incidence, regional, age and sex distribution. Nonparametric tests were used to analyzed to the difference between the duration from onset of illness to date of diagnosis of natural focal diseases and the same period of the previous year. Results: The incidence of malaria in February (0.9 per 10,000,000 people), March (0.3 per 10,000,000 people) and April (0.1 per 10,000,000 people) 2020 less than the lower limit for range of February (1.6-4.5 per 10,000,000 people), March (0.8-3.3 per 10,000,000 people) and April (1.0-2.9 per 10,000,000 people) from 2015 to 2019 respectively. The incidence of brucellosis in February was 0.9 (per 10,000,000 people), less than the lower limit for the range from 2015 to 2019 (1.6-4.5 per 10,000,000 people). The incidence of hemorrhagic fever (HF) in March was 1.0 (per 10,000,000 people), less than the lower limit for the range from 2015 to 2019 (1.4-2.6 per 10,000,000 people). However, the incidence of Severe Fever with Thrombocytopenia Syndrome (SEFT) in March was 0.3 (per 10,000,000 people), higher than the upper limit for the range from 2015 to 2019 (0.0-0.1 per 10,000,000 people). Furthermore, we respectively observed the incidence with various degree of reduction in male, 20-60 years old and both rural and urban areas. Conclusions: In Jiangsu province, the incidence of natural focal diseases decreased during the outbreak of COVID-19 in 2020, especially malaria, HF and SEFT. The impact of interventions were felt most by male individuals within the age group of 20-50 years. The interventions for COVID-19 may control the epidemics of natural focal diseases.

scholarly journals Reflection of documents in the digital twin of the company and calculation of their impact on human behavior in the simulation model

E-Management ◽  
2021 ◽  
Vol 4 (3) ◽  
pp. 50-60
Author(s):  
M. V. Samosudov
Keyword(s):  
Mathematical Model ◽  
Social System ◽  
Social Systems ◽  
Control Effect ◽  
Economic Space ◽  
Agent Based ◽  
Digital Twin ◽  
The Social ◽  
The Impact ◽  
System Operating

The formation and formation of the Industry 4.0 concept stimulated the discussion of the use of computer technology in various areas of economic activity and, in particular, in the automation of social systems management. The basis of the concept is the inclusion of a virtual image of the social system in the form of a mathematical model or a digital twin of the enterprise in the production and management system. At the same time, it should be noted that today digital twin are created mainly only for technical objects used in the activities of enterprises. The purpose of the article is to demonstrate the possibility of fixing organizational documents as one of the system-forming factors in the digital twin of an enterprise. This circumstance makes it possible, firstly, to more accurately calculate the managerial effects of managers by taking into account the impact of organizational documents on the activities of employees of the enterprise; secondly, to identify conflicts of documents developed by various departments of the company; thirdly, to calculate the content of documents during their development (design), based on the requirements of the situation or a given control effect. This possibility arises due to the use of a comprehensive mathematical model of the social system operating in an active environment. The model is a simulation agent-based model and allows you to calculate the dynamics of the social system in the socio-economic space, which allows its use in decision support systems by managers of any scale and activities to calculate the expected effect of management decisions – the specifics of a particular social system are taken into account by combining the values of the phase variables describing the state of the enterprise. The novelty of the research paper lies in the fact that it shows: the possibility to calculate the influence of organizational documents on the behavior of participants and, consequently, on the result of the social system, as well as the mechanism for converting messages, which are invariants of socio-economic space into information that affects the behavior of participants of relations.

Detection of Stator and Rotor Faults in Asynchronous Motor Using Artificial Intelligence Method

2018 ◽  
pp. 278-285
Author(s):  
K. Vinoth Kumar ◽  
Prawin Angel Michael
Keyword(s):  
Induction Motor ◽  
Asynchronous Motor ◽  
Feed Forward Neural Network ◽  
Identification Scheme ◽  
Hardware System ◽  
Rotor Faults ◽  
Squirrel Cage ◽  
Three Phase ◽  
Neural Network Structure ◽  
Trained Network

This chapter deals with the implementation of a PC-based monitoring and fault identification scheme for a three-phase induction motor using artificial neural networks (ANNs). To accomplish the task, a hardware system is designed and built to acquire three phase voltages and currents from a 3.3KW squirrel-cage, three-phase induction motor. A software program is written to read the voltages and currents, which are first used to train a feed-forward neural network structure. The trained network is placed in a Lab VIEW-based program formula node that monitors the voltages and currents online and displays the fault conditions and turns the motor. The complete system is successfully tested in real time by creating different faults on the motor.

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