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Perbandingan Neural Network (NN) Observer dan Neural Network-Genetic Algorithm (NN-GA) Observer untuk Estimasi Kecepatan Motor Induksi Bambang Purwahyudi; Soebagio Soebagio; Mauridhi Hery Purnomo
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2005
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Dalam makalah ini membahas perbandingan kontrol kecepatan tanpa sensor kecepatan motor induksiyang dioperasikan dengan metoda field oriented control (FOC). Kecepatan motor induksi diestimasi oleh suatuobserver. Estimasi kecepatan motor oleh observer hanya memerlukan masukan tegangan dan arus stator.Metode observer yang dibandingkan adalah antara Neural Network (NN) dan Neural Network-GeneticAlgorithm (NN-GA). Algoritma pembelajaran NN yang digunakan kedua metode ini menggunakanbackpropagasi, sedangkan GA pada metoda kedua digunakan untuk mengoptimasi parameter-parameter NNsehingga diperoleh struktur NN yang sederhana. Kedua Observer dirancang untuk menentukan pola kecepatansudut rotor, sehingga dapat dimanfaatkan untuk pengendalian kecepatan motor induksi. Hasil simulasimenunjukkan bahwa NN-GA observer mempunyai Standart Error Estimasi lebih baik dibandinggkan denganNN Observer dan kedua observer dapat mengestimasi kecepatan rotor motor induksi.Kata kunci: Neural Network-Genetic Algorithm, Observer, Field Oriented Control.

A comparative study of nonlinear circle criterion based observer and H∞ observer for induction motor drive Farid Berrezzek; Wafa Bourbia; Bachir Bensaker
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

This paper deals with a comparative study of circle criterion based nonlinear observer and H∞ observer for induction motor (IM) drive. The advantage of the circle criterion approach for nonlinear observer design is that it directly handles the nonlinearities of the system with less restriction conditions in contrast of the other methods which attempt to eliminate them. However the H∞ observer guaranteed the stability taking into account disturbance and noise attenuation. Linear matrix inequality (LMI) optimization approach is used to compute the gains matrices for the two observers. The simulation results show the superiority of H∞ observer in the sense that it can achieve convergence to the true state, despite the nonlinearity of model and the presence of disturbance.

THE EFFECT OF ONE HOUSE ONE LARVAE OBSERVER MOVEMENT ON THE EXISTENCE OF MOSQUITO LARVAE IN WATUBANGGA SUBDISTRICT: HOUSE AND LARVAE OBSERVER Yanti Susanti; Timbul Supodo; Sunarsih Sunarsih
INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT (IJHSRD) Vol. 3 No. 2 (2021): INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT
Publisher : STIKes Mandala Waluya Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36566/ijhsrd/Vol3.Iss3/97

Background: Dengue Hemorrhagic Fever is a mosquito-borne infectious disease found in tropical and subtropical areas around the world. In recent years, transmission has increased especially in urban and semi-urban areas and has become a major international public health concern. The aim of this study was to analyze the effect of the movement of one house and one larva monitor on the presence of larvae in Watubangga sub-district, Watubangga sub-district. Methods: This type of research is quantitative research with a pre-experimental approach. The population in this study were all heads of families living in the Watubangga Village area as many as 608 families. The sample in the study was partly from the heads of families who lived in Watubangga Village as many as 236 respondents. The sample was selected using a systematic random sampling method. Data were collected through questionnaires and observation sheets and then analyzed descriptively and inferentially. Result: This study shows that there is an effect of the movement of one house and one larva monitoring interpreter on the presence of larvae in Watubangga Village where a p-value of 0.000 is obtained. Conclusion: After the intervention with the one house movement, one larva monitoring interpreter, there was an increase in community skills in efforts to prevent dengue hemorrhagic fever. Therefore, it is hoped that the one house one larva monitoring program can be implemented throughout the territory of the Republic of Indonesia.

PENGATURAN MOTOR INDUKSI MENGGUNAKAN OBSERVER SELF CONSTRUCTING FUZZY NEURAL NETWORK DENGAN METODE ALGORITMA PELATIHAN LEVENBERG MARQUARDT Suhariningsih, Suhariningsih; Soebagio, Soebagio; Purnomo, Mauridhi Heri
Jurnal Teknik Elektro Vol 8, No 2 (2008): SEPTEMBER 2008
Publisher : Institute of Research and Community Outreach

This paper describes about development of 3 phase speed sensorless induction motor speed controller using Field Oriented Vector(FOC) method. Motor speed is estimated by an observer using Self Constructing fuzzy Neural Network (SCFNN) with Levenberg Marquardt(LM) learning algorithm method, that replaces backpropagation method because this method is slow to reach convergent. SCFNN method combines the fuzzy and neural network. The simulation results show that the system can estimate flux and speed of induction motor and it converges faster than backpropagation method. .The estimation result can be used to identify rotor speed of induction motor with good performance Abstract in Bahasa Indonesia: Dalam penelitian ini dikembangkan pengaturan kecepatan motor induksi 3 phase tanpa sensor yang dioperasikan dengan metoda Field Oriented Vector (FOC). Kecepatan motor diestimasi oleh suatu observer dengan suatu metoda Self Constructing Fuzzy Neural Network (SCFNN) dimana pelatihannya menggunakan metode algoritma pelatihan Levenberg Marquardt (LM), yang menggantikan metode Backpropagasi karena metode ini kurang cepat mencapai konvergen. Metode SCFNN mempunyai kemampuan untuk menggabungkan Fuzzy dan Neural Networks. Hasil simulasi menunjukkan sistem dapat mengestimasi fluksi dan kecepatan dengan kekonvergenan yang lebih cepat dari metode backpropagasi. Hasil estimasi dapat digunakan untuk mengidentifikasi kecepatan rotor motor induksi Kata kunci: pengaturan kecepatan, motor induksi tanpa sensor, FOC, SCFNN observer, Levenberg Marquardt

A New Hybrid Robust Fault Detection of Switching Systems by Combination of Observer and Bond Graph Method Mohammad Ghasem Kazemi; Mohsen Montazeri
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 4: August 2018
Publisher : Institute of Advanced Engineering and Science

In this paper, the problem of robust Fault Detection (FD) for continuous time switched system is tackled using a hybrid approach by combination of a switching observer and Bond Graph (BG) method. The main criteria of an FD system including the fault sensitivity and disturbance attenuation level in the presence of parametric uncertainties are considered in the proposed FD system. In the first stage, an optimal switching observer based on state space representation of the BG model is designed in which simultaneous fault sensitivity and disturbance attenuation level are satisfied using H????=H1 index. In the second stage, the Global Analytical Redundancy Relations (GARRs) of the switching system are derived based on the output estimation error of the observer, which is called Error-based Global Analytical Redundancy Relations (EGARRs). The parametric uncertainties are included in the EGARRs, which define the adaptive thresholds on the residuals. A constant term due to the effect of disturbance is also considered in the thresholds. In fact, a two-stage FD system is proposed wherein some criteria may be considered in each stage. The efficiency of the proposed method is shown for a two-tank system.

DESCRIPTIVE STUDY ON THE PERSONAL COMPUTER STATUS AS AN OBSERVER AND RECORDER-PARAMETER PROCESS PARAMETERS IN ELECTRICITY GENERATION Sri Mulyaningsih; Djoko Hermanto., DR, MS.
Jurnal Sistem Informasi 1990
Publisher : STMIK JAKARTA STI&K

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Advances in technology these days walking fast, along with the progress of information systemsthat cause this century referred to as the information age. In the industrial world, because bothare closely related.The power plant is one important component dalampenggunaan industry.In operation steam-Muara Karang, Jakarta has been to use the computer however there are stilldeficiencies in the way of determining the original cause of the abnormalities of a system in caseof trouble (error).For that they held a descriptive study of the personal computer as an observer and recorder statusparameters in the process of generating electricity by adding a bit of hardware on the existingsystem.The first goal of the desired results will be obtained that is able to determine the initial status of asystem abnormalities.

The Contribution of Observer towards the Teachers’ Performance in Classroom Sri Damayanti; Jusriati Jusriati
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol 7, No 2 (2019): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Litera
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v7i2.1044

The aim of this paper is to describe the contribution of observer towards the performance of the teachers in teaching. The research question of this research is how is the teachers’ opinion about the contribution of the observer in their class? In answering the research question, the researchers conducted a research in a year by participating in learning community. The sample of this research is the students who have conducted Magang III and contributed as teacher. Here, the researchers use questionnaire given to the teachers. The data from the questionnaire analyzed in the form of Likert Scale. As a result of this study revealed that the fear is only a temporary concern because basically they concluded that the presence of observers had a positive impact on their performance, because there were many valuable lessons and input obtained from the presence of observers in their open classes and of course that will be material for further improvement of their learning. It can be seen from the percentage of the questionnaire show that from 14 statements, most of students are in the Strongly Agree and Agree range.

New Version of Adaptive Speed Observer based on Neural Network for SPIM Ngoc Thuy Pham; Diep Phu Nguyen; Khuong Huu Nguyen; Nho Van Nguyen
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 9, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

This paper presents a novel Stator Current based Model Reference Adaptive System (SC_MRAS) speed observer for high-performance Six Phases Induction Motor (SPIM) drives using linear neural network. The article aim is intended to improve performance of an SC_MRAS observer, which were presented in the literature. In this proposed scheme, the measured stator current components are used as the reference model of the MRAS observer to avoid the use of a pure integrator and reduce the influence of motor parameter variation. The adaptive model uses a two-layer Neural Network (NN) to estimate the stator current, which has been trained online by means of a Least Squares (LS) algorithm instead of uses a nonlinear Back Propagation Network (BPN) algorithm to reduce the complexity and computational burden, it also help to improve some disadvantages cause by the inherent nonlinearity of the BPN algorithm as local minima, two heuristically chosen parameters, initialization, and convergence problems, paralysis of the neural network. The adaptive model of the proposed scheme is employed in prediction mode, not in simulation mode as is usually the case in the literature, this made the proposed observer operate better accuracy and stability. In the proposed observer, stator and rotor resistance values are estimated online, these values thereafter were updated for the current observer and rotor flux identifier to enhance the accuracy, robustness and insensitivity to parameters variation for the proposed observer. The proposed LS SC_MRAS observer has been verified thought the simulation and compared with the BPN MRAS observer. The simulation results have proven that the speed is estimated a consequent quicker convergence, do not need the estimated speed filter, lower estimation errors both in transient and steady state operation, better behavior in low and zero speed operation.

Sensorless Vector Control of AC Induction Motor Using Sliding-Mode Observer Phuc Thinh Doan; Tan Tien Nguyen; Sang Kwun Jeong; Sea June Oh; Sang Bong Kim
International Journal of Science and Engineering Vol 4, No 2 (2013)
Publisher : Chemical Engineering Diponegoro University

This paper develops a sensorless vector controlled method for AC induction motor using sliding-mode observer. For developing the control algorithm, modeling of AC induction motor is presented. After that, a sliding mode observer is proposed to estimate the motor speed, the rotor flux, the angular position of the rotor flux and the motor torque from monitored stator voltages and currents. The use of the nonlinear sliding mode observer provides very good performance for both low and high speed motor operation. Furthermore, the proposed system is robust in motor losses and load variations. The convergence of the proposed observer is obtained using the Lyapunov theory. Hardware and software for simulation and experiment of the AC induction motor drive are introduced. The hardware consists of a 1.5kw AC induction motor connected in series with a torque sensor and a powder brake. A controller is developed based on DSP TMS320F28355. The simulation and experimental results illustrate that fast torque and speed response with small torque ripples can be achieved. The proposed control scheme is suitable to the application fields that require high performance of torque response such as electric vehicles. doi:http://dx.doi.org/10.12777/ijse.4.2.2013.39-43 [How to cite this article: Doan, P. T., Nguyen, T. T., Jeong, S. K., Oh, S. J., & Kim, S. B. (2013). Sensorless Vector Control of AC Induction Motor Using Sliding-Mode Observer. INTERNATIONAL JOURNAL OF SCIENCE AND ENGINEERING, 4(2), 39-43; doi: http://dx.doi.org/10.12777/ijse.4.2.2013.39-43]

Observer based dynamic control model for bilaterally controlled MU-lapa robot: Surgical tool force limiting Branesh M. Pillai; Chumpon Wilasrusmee; Jackrit Suthakorn
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

During laparoscopic surgeries, primary surgical tool insertion is the demanding and strenuous task. As the surgeon is unaware of the type of the tissue and associated parameters to conduct the insertion, therefore, to ease the procedure, the movement of the surgical tool needs to be controlled. It’s the operational capabilities that are to be manipulated to perform a smooth surgery even from a distant location. In this study, a robot system is being introduced for laparoscopic primary surgical tool insertion. It will incorporate a novel observer based dynamic control along with robot assisted bilateral control. Moreover, a virtual spring damper force lock system is introduced through which the slave system will notify the master regarding the target achieved and excessive force. The validation of the proposed control system is experimented with bilaterally controlled MU-LapaRobot. The experiment is comprising 3 cases of bilateral control criteria which are non-contact motion, contact motion, and limit force locking. The results defined the same value for contact and non-contact motion by 0.3N. The results depicted a force error of 3.6% and a position error of 5.8% which validated the proposed algorithm.

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