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Development of The PD/PI Extended State Observer to Detect Sensor and Actuator Faults Simultaneously Indriawati, Katherin; Agustinah, Trihastuti; Jazidie, Achmad
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.2.584

Abstract

This paper discusses about an observer based fault detection scheme to detect sensor and actuator faults simultaneously in LTI system. The proposed strategy is to add derivative action on the extended state observer (ESO) in addition to proportional-integral action, so that the structure of the proposed observer is PD/PI or called PD/PI-ESO. The derivative action is performed both in state estimation and fault estimation. This is to achieve fast state estimation as well as fast fault estimation. Furthermore, the effects of disturbance are attenuated by using the H performance approach. The observer gains are then determined based on Linear Matrix Inequalities (LMI) technique. Simulation results of a DC motor speed control system are presented to illustrate the effectiveness of the proposed method.
Development of the PD/PI Extended State Observer to Detect Sensor and Actuator Faults Simultaneously Indriawati, Katherin; Agustinah, Trihastuti; Jazidie, Achmad
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1086.158 KB) | DOI: 10.11591/eecsi.v2.801

Abstract

This paper discusses about an observer based faultdetection scheme to detect sensor and actuator faultssimultaneously in LTI system. The proposed strategy is to addderivative action on the extended state observer (ESO) in additionto proportional-integral action, so that the structure of theproposed observer is PD/PI or called PD/PI-ESO. The derivativeaction is performed both in state estimation and fault estimation.This is to achieve fast state estimation as well as fast faultestimation. Furthermore, the effects of disturbance are attenuatedby using the Hï‚¥ performance approach. The observer gains arethen determined based on Linear Matrix Inequalities (LMI)technique. Simulation results of a DC motor speed control systemare presented to illustrate the effectiveness of the proposed method.
Sensor/actuator fault tolerant sliding mode control for anti-lock braking in a quarter electric vehicle Bambang L. Widjiantoro; Katherin Indriawati
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.2 KB) | DOI: 10.11591/ijpeds.v11.i3.pp1220-1229

Abstract

This paper proposes a scheme to improve regenerative ABS technology that already exists today by adding accommodation faults to the control system. The nominal control algorithm used is a sliding mode control so that system nonlinearities can be handled properly. The proposed method then is called sensor/actuator fault tolerant sliding mode control system. In designing the proposed control, there are two stages, namely estimation of faults, as well as the active mechanism for reconfiguring controls. Estimation of faults is done by using proportional-integral (PI) observers based on extended state space equation. Whereas the control signal reconfiguration is done actively by replacing measured output with their estimates and compensating for control signal using the actuator fault estimate. The simulation shows that the control system based on the proposed algorithm produces better dynamic performance than the sliding mode control (SMC) without fault tolerant feature. Furthermore, the system provides inherent characteristic for dealing with a minor fault in the hydraulic actuator.
Implementation of disturbance observer for sensorless speed estimation in induction motor Katherin Indriawati; Febry Pandu Wijaya; Choirul Mufit
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 2: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i2.pp724-732

Abstract

The use of speed sensors in induction motors is considered to be less effective because of the high price and diminishing reliability. Over time, a speed estimator was developed to increase the speed of the sensor. This paper describes the application of a disturbance observer algorithm as an estimator of the speed of an induction motor. In this case, the estimator is seen as an embedded system that only uses current information to measure speed of induction motor. To test the performance of the disturbance observer-based estimator, a comparison was made with the estimator based on the extended Kalman filter. From the experiment, it is found that the speed estimation using the disturbance observer has a smaller root mean square error in the low-speed operation than one of the extended Kalman filter, i.e. the root mean squared error (RMSE) value is below 4% in the range of 250 revolution per minute (RPM)–600 RPM.
Perancangan Sistem Active Fault Tolerant Control (AFTC) untuk Pengendalian Posisi dengan Kontrol Cascade pada Sistem Servo Modular MS150 DC Tulus Indra Hermawan; Katherin Indriawati
Jurnal Teknik ITS Vol 7, No 1 (2018)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (675.907 KB) | DOI: 10.12962/j23373539.v7i1.29715

Abstract

Kesalahan pada komponen seperti aktuator dan sensor dapat mengakibatkan kegagalan sistem salah satunya pada pengendalian posisi motor DC. Pada tugas akhir ini dilakukan perancangan sistem Active Fault Tolerant Control (AFTC) yang mampu bekerja ketika terdapat kesalahan pada komponen seperti aktuator dan sensor pada pengendalian posisi sistem servo modular MS150 DC sehingga performansi sistem tetap terjaga. Langkah pertama yang dilakukan adalah membuat pemodelan servo modular MS150 DC. Langkah kedua adalah merancang sistem kontrol cascade PI-P. Langkah ketiga adalah merancang sistem AFTC secara simulasi dan langkah terakhir adalah merancang sistem AFTC untuk aplikasi real time. Sistem tanpa AFTC pada kesalahan sensor secara real time mengalami error steady state sebesar 11% dan 91% sedangkan sistem dengan AFTC tidak mengalami error steady state. Sistem tanpa AFTC pada kesalahan aktuator secara real time mengalami overshoot sebesar 12,7% dan 28,6%, sedangkan sistem dengan AFTC mengalami overshoot lebih kecil sebesar 1,59% dan  11,15%. Hal tersebut terjadi karena sistem AFTC bisa menolerir kesalahan dari sensor dan aktuator sehingga respon sistem menjadi lebih baik.
Perancangan Fault Tolerant Control (FTC) pada Aplikai Pengereman Regenerative Mobil Listrik dengan Model Half Car sebagai Anti-lock Braking System dengan Kesalahan Sensor Dea Faiza Febrianty; Katherin Indriawati
Jurnal Teknik ITS Vol 9, No 1 (2020)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23373539.v9i1.51763

Abstract

Pada penilitian kali ini dilakukan perancangan Fault Tolerant Control yang diaplikasikan pada pengereman kendaraan listrik half car model, dengan motor bekerja secara regenerative sebagai anti-lock braking system, untuk mengkompensasi kesalahan yang ada pada sensor. Penelitian kali ini menggunakan kendaraan listrik dengan model half car sebagai plant. Terdapat 3 kontroler yang digunakan yaitu PI kontroler sebagai kontrol slip ratio yang mengatur agar slip ratio berada pada nilai 0,2, PI kontroler sebagai kontrol putaran roda, dan hysteresis control. Motor yang digunakan adalah Brushless Direct Control yang berfungsi sebagai penggerak (aktuator) pada kendaraan. Pada penelitian ini menggunakan mode generator pada motor, sehingga motor dapat menyimpan energy yang dihasilkan ketika terjadi pengereman. Dengan kesalahan sensor yang diberikan pada roda depan kendaraan, maka digunakan observer untuk mengestimasi kesalahan kemudian kesalahan tersebut akan dikompensasi oleh Fault Tolerant Control. Dari perancangan yang dilakukan, FTC mampu mengestimasi kesalahan aktual dengan karakteristik respon yaitu maximum overshoot 9,765%, rise time 0,00186 detik dan time settling 0,2954 detik. FTC juga mampu mengkompensasi kesalahan sensor berupa kesalahan bias hingga 50 rad/s dan kesalahan sensitivitas 75%.
Penelusuran Daya Maksimum Pada Panel Photovoltaic Menggunakan Kontrol Logika Fuzzy Di Kota Surabaya Kurnia Ma'rifatin Pebriningtyas; Ali Musyafa; Katherin Indriawati
Jurnal Teknik ITS Vol 2, No 1 (2013)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1073.146 KB) | DOI: 10.12962/j23373539.v2i1.3253

Abstract

Kebutuhan energi semakin lama semakin meningkat dan sumber energi utama yang digunakan saat ini mempunyai keterbatasan untuk memperbaruinya. Photovoltaic adalah komponen semikonduktor yang berfungsi mengkonversi energi matahari menjadi energi listrik. Cahaya matahari yang termasuk sumber energi primer tersedia sepanjang tahun di semua tempat di permukaan bumi. Tingkat penyinaran yang berbeda-beda menyebabkan daya keluaran dari photovoltaic bervariasi. Karakteristik V-I sel surya adalah nonlinier, berubah terhadap intensitas dan temperatur permukaan photovoltaic. Secara umum, terdapat titik yang unik pada kurva V-I atau kurva P-V, yang dinamakan Maximum Power Point (MPP). Titik MPP tersebut tidak diketahui namun dapat dicari dengan algoritma penjejak atau algoritma MPPT. Pada tugas akhir ini dilakukan perancangan penelusuran daya maksimum menggunakan kontrol logika fuzzy. Sistem penelusuran daya maksimum yang menggunakan modul BPSX-60 dapat menghasilkan daya 59,4W pada keadaan standard condition (intensitas 1000W/m2 dan temperatur 250C). Sistem penelusuran daya maksimum pada panel photovoltaic mampu menelusuri daya maksimum dengan kondisi lingkungan (intensitas cahaya matahari dan temperatur pada permukaan panel photovoltaic) yang berubah-ubah.
Development of the PD/PI Extended State Observer to Detect Sensor and Actuator Faults Simultaneously Katherin Indriawati; Trihastuti Agustinah; Achmad Jazidie
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1086.158 KB) | DOI: 10.11591/eecsi.v2.801

Abstract

This paper discusses about an observer based faultdetection scheme to detect sensor and actuator faultssimultaneously in LTI system. The proposed strategy is to addderivative action on the extended state observer (ESO) in additionto proportional-integral action, so that the structure of theproposed observer is PD/PI or called PD/PI-ESO. The derivativeaction is performed both in state estimation and fault estimation.This is to achieve fast state estimation as well as fast faultestimation. Furthermore, the effects of disturbance are attenuatedby using the H performance approach. The observer gains arethen determined based on Linear Matrix Inequalities (LMI)technique. Simulation results of a DC motor speed control systemare presented to illustrate the effectiveness of the proposed method.
Fault Estimation on Induction Motor Based on Stator Inter-Turn Fault Bambang Lelono Widjiantoro; Syahrul Munir; Katherin Indriawati
IPTEK Journal of Proceedings Series No 6 (2020): 6th International Seminar on Science and Technology 2020 (ISST 2020)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2020i6.11148

Abstract

Since the 19th century, the use of electric motors continues to grow. Nowadays electric motors have been widely used in various fields of industry. One type of electric motor that is often used is an induction motor. Induction motors work in the presence of induced currents due to the relative difference in rotor rotation with rotating magnetic fields. Induction motors are preferred for industrial purposes because of low cost, easy to maintain, and high efficiency. Induction motors that are used continuously can experience several types of fault. The existence of fault can affect the performance of the induction motor. One of the fault that often occurs in induction motor is the result of stator inter-turn fault. This fault is caused by the gradual deterioration of insulation in the stator winding which cause a short-circuit. Sooner or later, this fault can cause damage to the induction motor in a short time if left unchecked. So, it is very important to monitor the fault in real-time. Therefore, this research proposes a fault estimation method on induction motor. The design of fault estimation based on particle filtering and extended state space equations is used to estimate the stator inter-turn fault. The effectiveness of this approach is validated by use of a computer simulation with using two fault signal represented by η_cc ramp and step signal. The performances of this fault estimation are measured by RMSE and with using 500 particles has smallest RMSE value, which are 0.0112 and 0.0124 for dq current fault when using η_cc ramp signal and 0.2373 and 0.2367 for dq current fault when using η_cc step signal.
Deteksi Objek pada Prototipe Autonomous Car Menggunakan Sensor Fusion Kamera Mono dan Sensor Ultrasonik Akhmad Ibnu Hija; Katherin Indriawati; Mohammad Harwin Prayoga
JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) Vol. 6 No. 2 (2021): JOURNAL OF ELECTRICAL, ELECTRONICS, CONTROL, AND AUTOMOTIVE ENGINEERING (JEECAE
Publisher : Pengelolaan Penerbitan Publikasi Ilmiah (P3I) Politeknik Negeri Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Teknologi kendaraan berupa ADAS hingga autonomous car tidak dapat terlepas dari adanya sensor yang baik. Sensor yang baik sangat dibutuhkan untuk mengenali lingkungan sebagai fungsi alih dari indra manusia. Setiap sensor memiliki kelebihan dan kekurangan, sehingga untuk mendapatkan hasil yang baik, perlu mengekstraksi kelebihan setiap sensor untuk menutupi kelebihan yang lain, yang disebut sebagai sensor fusion. Sebagai sensor ukur jarak sensor ultrasonic HC-SR04 digunakan, dan untuk mendapatkan deteksi objek yang lebih baik sensor kamera mono IMX219-160, yang terpasang secara tertanam pada purwarupa autonomous car Jetson AI Car. Dengan mini-PC Jetson nano sebagai pemroses data dari kedua sensor untuk diterjemahkan menjadi pengenalan objek. Deteksi objek pada kamera menggunakan DNN Yolov4-tiny sebagai algoritma deteksi. Kemudian untuk menyamakan waktu pengukuran perlu mengatur time delay untuk sensor ultrasonik sebesar 7 detik. Hasil pengukuran kedua sensor menunjukkan hasil yang baik Penggabungan kedua sensor mampu berjalan dengan baik, baik dalam kondisi mendeteksi objek diam (statis) maupun bergerak (dinamis). Namun, terdapat penurunan akurasi ketika mendeteksi objek dinamis, dikarenakan sensor ultrasonik yang kurang baik untuk digunakan mendeteksi benda bergerak, serta distorsi kamera besar yang mempengaruhi hasil pengukuran. Maka penting untuk menelaah kembali device sensor yang digunakan, untuk mendapatkan sensor yang baik dalam mendeteksi lingkungan.