Robust residual generation for sensor fault isolation in systems with structured uncertainty: A case study: MIMO Web Winding System

Herdjunanto, Samiadji; Susanto, Adhi; Wahyunggoro, Oyas

doi:10.1109/iciteed.2014.7007961

Cited by 4 publications

(6 citation statements)

References 26 publications

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“…In this section, we discuss a modification of method proposed in [11], to handle actuator failure. To generate a residual vector, a special filter and transformation matrix is required.…”

Section: Analysis Of Decoupled Residual Generation For Actuator Fault Isolationmentioning

confidence: 99%

“…its inability to handle fault signal which is not contained in its prior knowledge, the concept of vector with specific direction can beused. This scheme can be implemented by a combination of special filter and transformation matrix for multi-sensor fault detection in web winding system [11]. In this paper, those methods will be modified for the purpose of actuator fault localization, more specifically to generate residual signal from the aileron actuator and rudder actuator which are decoupled in laterally moving aircraft.…”

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confidence: 99%

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Actuator Fault Decoupled Residual Generation on Lateral Moving Aircraft

2018

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Implementation of time-scheduled maintenance is not suitable if it is applied for systems with many varieties of heavy workload and harsh environment since on that condition components degrade earlier that those under normal condition. Therefore it has been shifted to condition-based maintenance (CBM). One important aspect, among others, toward implementation of CBM method is fault isolation. The problem investigated in this paper is related todecouple residual generation for actuator fault isolation of an aircraft on lateral movement. The proposed solution for that problem is to implement combination of transformation matrix and special filter. Transformation matrix is used to convert feature locations of actuator faults to signature vectors. Moreover, the signature vectors will be processed further by special filter to generate decoupled residuals. It is assumed that the actuator is the only fault when the aircraft is on lateral movement. The result showed that special filter and transformation matrix can be designed so that the residual of aileron actuator fault is decoupled from the residual of rudder actuator fault.

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“…In this section, we discuss a modification of method proposed in [11], to handle actuator failure. To generate a residual vector, a special filter and transformation matrix is required.…”

Section: Analysis Of Decoupled Residual Generation For Actuator Fault Isolationmentioning

confidence: 99%

mentioning

confidence: 99%

Actuator Fault Decoupled Residual Generation on Lateral Moving Aircraft

2018

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“…Untuk mengatasi kelemahan implementasi logika fuzzy pada deteksi kesalahan dan penentuan lokasi kesalahan diperlukan model matematis sistem sehingga jangkauan penyelesaian masalah menjadi lebih luas. Selain itu, untuk mengatasi kelemahan jaringan syaraf tiruan dalam hal mendeteksi atau menentukan lokasi kesalahan yang tidak terdapat pada pustaka sebelumnya, digunakan konsep vektor dengan arah tertentu seperti yang telah diimplementasikan dengan menggunakan kombinasi tapis khusus dan matriks transformasi untuk penentuan lokasi kesalahan multi sensor pada web winding system [9]. Pada paper ini, metode tadi akan dimodifikasi untuk keperluan penentuan lokasi kesalahan aktuator dan yang lebih khusus lagi adalah dapat menghasilkan sinyal residual yang berasal dari aktuator aileron dan aktuator rudder yang saling decoupled pada pesawat terbang yang bergerak lateral.…”

Section: Kata Kunci-tapis Khusus Matriks Transformasi Gerakunclassified

“…Uraian berikut ini adalah hasil modifikasi metode yang telah dikemukakan pada [9] untuk menangani kasus kesalahan aktuator. Agar dihasilkan vektor residual, maka diperlukan tapis khusus dan matriks transformasi Tapis digunakan untuk membangkitkan sinyal error tapis yang salah satu anggotanya adalah sinyal kesalahan aktuator.…”

Section: B Analisis Untuk Menghasilkan Decoupled Residual Untuk Isolunclassified

Pembangkitan Decoupled Residual untuk Isolasi Kesalahan Aktuator Pesawat Terbang Bergerak Lateral

Herdjunanto¹

2016

Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)

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Implementation of time scheduled maintenance is not suitable if it is applied for systems with many varieties of heavy workload and harsh environment, since on that condition components degrade earlier than those under normal condition. Therefore, it has been shifted to condition-based maintenance (CBM). One important aspect, among others, toward successfull implementation of CBM method is fault isolation. The problem to be investigated is related to generate decoupled residual for actuator fault isolation of an aircraft on lateral movement. The proposed solution for that problem is to implement combination of transformation matrix and special filter. Transformation matrix is used to convert feature locations of actuator faults to signature vectors. Moreover, the signature vectors will be processed further by the special filter to generate decoupled residuals. It is assumed that the actuator is the only fault when the aircraft is on lateral movement. The results show that special filter and transformation matrix can be designed so that the residual of aileron actuator fault is decoupled from the residual of rudder actuator fault.

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“…Lebih spesifik, deteksi kesalahan yang berhubungan dengan masukan sistem (actuator fault signal detection) telah dilakukan [4]- [6]. Lebih lanjut, penelitian mengenai deteksi kesalahan yang berhubungan dengan keluaran sistem (sensor fault signal detection) juga telah dilakukan [7]- [9]. Lebih lanjut, fault detection juga sudah diaplikasikan untuk beberapa macam plant [10]- [13].…”

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Unknown Input Observer untuk Robust Detection Sinyal Kesalahan terhadap Disturbance Menggunakan LMI

Herdjunanto¹

2018

Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)

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Abstract-Implementation of time scheduled maintenance is not suitable if it is applied for systems with many varieties of heavy workload and harsh environment, since on that condition components degrade earlier than those under normal condition. Therefore, it has been shifted to condition-based maintenance (CBM). One important aspect, among others, toward successfull implementation of CBM method is fault signal detection which is robust against disturbance. The proposed solution of the problem is to use Unknown Input Observer (UIO) where its parameters are chosen so that UIO can be used for fault signal detection which is robust against disturbance. The parameter values of UIO are calculated using linear matrix inequality (LMI) derived from Lyapunov stability requirement. To demonstrate the effectiveness of the proposed solution, simulation is performed on a separately-excited DC motor where its load has a step change and time-varying change. The result shows that a fault signal as a function of nonlinear state can be detected using UIO which is robust against both step and timevarying load of the DC motor.Intisari-Impelementasi pemeliharaan sistem yang berbasis time-schedule tidak cocok untuk kondisi sistem yang memiliki beban dengan variasi yang tinggi dan kondisi lingkungan yang buruk karena pada kondisi tersebut komponen-komponen sistem mengalami degradasi lebih cepat dibandingkan dengan kondisi normal. Oleh karena itu, pemeliharaan bergeser menjadi berbasis kondisi sistem (CBM). Salah satu problem penting menuju terealisasinya CBM adalah dapat diimplementasikannya deteksi sinyal kesalahan yang robust terhadap disturbance. Usulan penyelesaiannya adalah menggunakan Unknown Input Observer (UIO) yang parameter-parameternya disusun sehingga UIO dapat digunakan untuk mendeteksi sinyal kesalahan yang robust terhadap disturbance. Adapun harga parameterparameter tersebut dihitung menggunakan linear matrix inequality (LMI) yang dijabarkan dari syarat stabilitas Lyapunov. Untuk mendemonstrasikan usulan penyelesaian problem, dilakukan simulasi pada plant motor DC eksitasi terpisah dengan perubahan beban step maupun beban yang berubah terhadap waktu. Hasilnya, sinyal kesalahan sebagai fungsi nonlinear state dapat dideteksi dengan menggunakan UIO yang robust terhadap perubahan beban motor DC baik step maupun time-varying. Kata Kunci-Unknown Input Observer (UIO), Deteksi kesalahan, Robust, Lyapunov, Stabilitas, Linear Matrix Inequality (LMI), Motor DC.I. PENDAHULUAN Pemeliharaan sistem sangat penting dilakukan untuk mengurangi terjadinya kerusakan fatal sistem akibat kegagalan komponen. Kerusakan fatal tersebut dapat berakibat pada timbulnya kerugian material hingga hilangnya nyawa manusia. Pemeliharaan sistem pada mulanya dilakukan setelah komponen mengalami kegagalan (reactive maintenance). Cara pemeliharaan berikutnya dilakukan dengan pemantauan sistem secara terjadwal (inspeksi periodis). Apabila beban kerja sistem itu tinggi, maka komponen akan mengalami degradasi lebih awal sehingga keterlambatan evaluasi keadaan si...

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Robust residual generation for sensor fault isolation in systems with structured uncertainty: A case study: MIMO Web Winding System

Cited by 4 publications

References 26 publications

Actuator Fault Decoupled Residual Generation on Lateral Moving Aircraft

Actuator Fault Decoupled Residual Generation on Lateral Moving Aircraft

Pembangkitan Decoupled Residual untuk Isolasi Kesalahan Aktuator Pesawat Terbang Bergerak Lateral

Unknown Input Observer untuk Robust Detection Sinyal Kesalahan terhadap Disturbance Menggunakan LMI

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