• Title/Summary/Keyword: State Machine Model

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Steady State and Transient Analysis of Switched Reluctance Motor Drive Fed from a Controlled AC-DC Rectifier

  • Moussa, Mona Fouad
    • Journal of Electrical Engineering and Technology
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    • v.12 no.4
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    • pp.1495-1502
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    • 2017
  • The Theory of operation of switched reluctance motors (SRM) depends on the reluctance torque, where energy is transferred to stator winding only. Although its construction is simple, the electrical design is complex, due to the switching configuration needed to deliver power to stator coils. However, because of the nonlinearly of magnetic circuit, SRM has torque ripple. This paper proposes a new strategy to drive SRM from a single-phase AC supply. Each stator winding is connected to AC-DC or AC-AC converters, which is called branch. All branches are connected in parallel to a single-phase AC supply. A shaft encoder allows current production in stator winding during the positive torque production region and terminates it during the negative torque production region. A magnetic flux is produced between stator poles when current is supplied from AC supply to stator coil and repeats many cycles as long as the rate of change of stator inductance is positive. Different possibilities for the configurations of AC-AC or AC-DC converters are introduced to drive SRM from the single-phase AC supply. A case study is presented for a SRM fed from AC supply through semi-controlled AC-DC converter is presented. A simulation model is introduced and verified by experimental rig for two-phase SRM.

The Performance Improvement of Synchronous Machine with Digital Excitation System Control

  • Hong, H.M.;Choi, J.H.;Jeon, B.S.;Min, M.K.;Kim, J.G.;Lim, I.H.;Ryu, H.S.
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.498-501
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    • 2005
  • This paper deals with the design and evaluation of the robust controller for a synchronous generator excitation system to improve the steady state and transient stability. The nonlinear characteristics of the system is treated as model uncertainties, and then the robust control techniques are introduced into the power system stability design to take into account these uncertainties at the controller design stage. The performance of the designed controller is examined by extensive non-linear time domain simulation. It is shown that the performance of the robust controller is superior to that of the conventional PI controller. This paper also proposes an improved digital exciter control system for a synchronized generator using a digitally designed controller with database. Results show that the proposed control system manifests excellent control performance compared to existing control systems. It has also been confirmed that it is easy for the proposed control system to implement digital control.

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Dropout Genetic Algorithm Analysis for Deep Learning Generalization Error Minimization

  • Park, Jae-Gyun;Choi, Eun-Soo;Kang, Min-Soo;Jung, Yong-Gyu
    • International Journal of Advanced Culture Technology
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    • v.5 no.2
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    • pp.74-81
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    • 2017
  • Recently, there are many companies that use systems based on artificial intelligence. The accuracy of artificial intelligence depends on the amount of learning data and the appropriate algorithm. However, it is not easy to obtain learning data with a large number of entity. Less data set have large generalization errors due to overfitting. In order to minimize this generalization error, this study proposed DGA(Dropout Genetic Algorithm) which can expect relatively high accuracy even though data with a less data set is applied to machine learning based genetic algorithm to deep learning based dropout. The idea of this paper is to determine the active state of the nodes. Using Gradient about loss function, A new fitness function is defined. Proposed Algorithm DGA is supplementing stochastic inconsistency about Dropout. Also DGA solved problem by the complexity of the fitness function and expression range of the model about Genetic Algorithm As a result of experiments using MNIST data proposed algorithm accuracy is 75.3%. Using only Dropout algorithm accuracy is 41.4%. It is shown that DGA is better than using only dropout.

Study on Measurement of Wafer Processing Throughput and Sequence Simulation of SWP(Single Wafer Process) Cleaning Equipment (매엽식 세정장비의 동작순서 시뮬레이션 및 웨이퍼 처리량 측정에 관한 연구)

  • Sun, Bok-Keun;Han, Kwang-Rok
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.42 no.5
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    • pp.31-40
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    • 2005
  • In this study, we study measurement of wafer processing throughput and sequence simulation of single wafer type for wafer cleaning equipments that were used for etching, cleaning and polishing of wafer. Based on finite state machine, simulation model was built with identification of robot's status according to scheduling algorithm. Moreover, through performance of simulation as above, throughput per hour of cleaning equipment was measured. By the simulation method that are proposed in this paper, we could measure the wafer throughput per hour according to recipe and robot motion speed, and find optimal recipe and moving sequence of robot that maximize the throughput.

LoGos: Internet-Explorer-Based Malicious Webpage Detection

  • Kim, Sungjin;Kim, Sungkyu;Kim, Dohoon
    • ETRI Journal
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    • v.39 no.3
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    • pp.406-416
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    • 2017
  • Malware propagated via the World Wide Web is one of the most dangerous tools in the realm of cyber-attacks. Its methodologies are effective, relatively easy to use, and are developing constantly in an unexpected manner. As a result, rapidly detecting malware propagation websites from a myriad of webpages is a difficult task. In this paper, we present LoGos, an automated high-interaction dynamic analyzer optimized for a browser-based Windows virtual machine environment. LoGos utilizes Internet Explorer injection and API hooks, and scrutinizes malicious behaviors such as new network connections, unused open ports, registry modifications, and file creation. Based on the obtained results, LoGos can determine the maliciousness level. This model forms a very lightweight system. Thus, it is approximately 10 to 18 times faster than systems proposed in previous work. In addition, it provides high detection rates that are equal to those of state-of-the-art tools. LoGos is a closed tool that can detect an extensive array of malicious webpages. We prove the efficiency and effectiveness of the tool by analyzing almost 0.36 M domains and 3.2 M webpages on a daily basis.

A Study on the Electrochemical Micro-machining for Fabrication of Micro Grooves (미세 홈 형성을 위한 마이크로 전해가공에 관한 연구)

  • Park, Jeong-Woo;Lee, Eun-Sang;Moon, Young-Hun
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.4
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    • pp.101-108
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    • 2002
  • A specially-built EMM (Electrochemical Micro Machining) / PECM (Pulse Electrochemical Machining) cell, a electrode tool filled with non-conducting material, a electrolyte flow control system and a small & stable gap control unit are developed to achieve accurate dimensions of recesses. Two electrolytes, aqueous sodium nitrate and aqueous sodium chloridc arc applied in this study. The farmer electrolyte has better machine-ability than the latter one because of its appropriate changing to the transpassive state without pits on the surface of workpiece. It is easier to control the machining depth precisely by micrometer with pulse current than direct current. This paper also presents an identification method for the machining depth by in-process analysis of machining current and inter electrode gap size. The inter electrode gap characteristics, inc1uding pulse current, effective volumetric electrochemical equivalent and electrolyte conductivity variations, are analyzed based on the model and experiments.

Development of Intelligent Fault Diagnosis System for CIM (CIM 구축을 위한 지능형 고장진단 시스템 개발)

  • Bae, Yong-Hwan;Oh, Sang-Yeob
    • Journal of the Korean Society of Industry Convergence
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    • v.7 no.2
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    • pp.199-205
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    • 2004
  • This paper describes the fault diagnosis method to order to construct CIM in complex system with hierarchical structure similar to human body structure. Complex system is divided into unit, item and component. For diagnosing this hierarchical complex system, it is necessary to implement a special neural network. Fault diagnosis system can forecast faults in a system and decide from the signal information of current machine state. Comparing with other diagnosis system for a single fault, the developed system deals with multiple fault diagnosis, comprising hierarchical neural network (HNN). HNN consists of four level neural network, i.e. first is fault symptom classification and second fault diagnosis for item, third is symptom classification and forth fault diagnosis for component. UNIX IPC is used for implementing HNN with multitasking and message transfer between processes in SUN workstation with X-Windows (Motif). We tested HNN at four units, seven items per unit, seven components per item in a complex system. Each one neural network represents a separate process in UNIX operating system, information exchanging and cooperating between each neural network was done by message queue.

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Design and Implementation of Interoperable Adaptor for Simulators Interoperation using IEEE 1516 HLA/RTI (IEEE 1516 HLA/RTI 기반 연동 시뮬레이션을 위한 연동 어댑터의 설계 및 구현)

  • Hong, Jeong-Hee;Sung, Chang-Ho;Ahn, Jung-Hyun;Kim, Tag-Gon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.1
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    • pp.88-96
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    • 2009
  • Interoperation between heterogeneous simulators employs definition of standard protocols for data exchange and time synchronization among simulators. The High Level Architecture(HLA) is a specification of common services for such interoperation, which is approved as IEEE standard 1516. This paper presents the design and implementation of an interoperable adaptor which supports development of interoperable simulators under the IEEE 1516 HLA/RTI environment. The adaptor, KHLAAdaptor1516, is implemented as a library form which is linked to HLA-compliant simulators. Design of the adaptor employs a protocol conversion method, the model of which is finite state machine. KHLAAdaptor1516 allows developers to separate interoperable adaptors from stand-alone simulators. The interoperable adaptor manages mapping between HLA services and simulation messages for simulator, This separation increases robustness of a federation and reusability of simulators as well as alleviates much effort and time for maintenance.

A Stable Startup Method of V/f Scalar Controlled Permanent Magnet Synchronous Motors (V/f 스칼라 제어 영구자석 동기 전동기의 안정적 초기 구동 기법)

  • Kim, Hyeon-Seong;Lee, Sang-Min;Lee, Kibok
    • The Transactions of the Korean Institute of Power Electronics
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    • v.25 no.5
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    • pp.395-403
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    • 2020
  • This study presents a stable start-up strategy for v/f scalar-controlled permanent magnet synchronous motors (PMSMs). The v/f-controlled PMSMs easily lose synchronism under low-speed conditions if an insufficient stator voltage is applied to the machine due to errors in measured motor parameters and inverter nonlinearity, such as inverter dead time and on-state voltage drop. The proposed method adopts the I/f control method to ensure a stable start at low speeds and then switches to the v/f control method at medium speeds. A smooth transition method from I/f control to v/f control is proposed to minimize the oscillation of the stator current and rotor speed during transition. Moreover, the stability of the I/f and v/f control methods is analyzed using a small-signal model. Simulation and experimental results are provided to verify the performance of the proposed control strategy.

The Generator Excitation Control Based on the Quasi-sliding Mode Pseudo-variable Structure Control

  • Hu, Jian;Fu, Lijun
    • Journal of Electrical Engineering and Technology
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    • v.13 no.4
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    • pp.1474-1482
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    • 2018
  • As an essential means of generator voltage regulation, excitation control plays an important role in controlling the stability of the power system. Therefore, the reasonable design of an excitation controller can help improve the system stability. In order to raise the robustness of the generator exciting system under outside interference and parametric perturbation and eliminate chattering in the sliding mode control, this paper presents a generator excitation control based on the quasi-sliding mode pseudo-variable structure control. A mathematical model of the synchronous generator is established by selecting its power, speed and voltage deviation as state variables. Then, according to the existing conditions of the quasi-sliding mode, a quasi-sliding mode pseudo-variable structure controller is designed, and the parameters of the controller are obtained with the method of pole configuration. Simulations show that compared with the existing methods, the proposed method is not only useful for accurate voltage regulation, but also beneficial to improving the robustness of the system at a time when perturbance happens in the system.