Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Katherin Indriawati is active.

Publication


Featured researches published by Katherin Indriawati.


Applied Mechanics and Materials | 2015

Reconfigurable Controller Based on Fuzzy Descriptor Observer for Nonlinear Systems with Sensor Faults

Katherin Indriawati; Achmad Jazidie; Trihastuti Agustinah

In this paper, the FTC system for multiple operating condition nonlinear systems subjected to sensor faults is developed by applying reconfigurable control scheme. The scheme generates any modified control signal using appropriate additive reference signal to the nominal control system. The proposed observer is developed based on descriptor approach in the fuzzy Takagi-Sugeno model configuration in order to accommodate some operating conditions of a nonlinear system. The simulation result shows that the proposed method has capability to compensate more than one sensor fault occurred in a three-tank benchmark system even there is a change in condition operation as well as in reference signal.


2017 5th International Conference on Instrumentation, Control, and Automation (ICA) | 2017

Fault tolerant control system design for vacuum effect evaporator plant with sensor and actuator fault

Katherin Indriawati; Febrianto Bimo Amarto

As the final part of the Multi-Effect Evaporator (MEE) unit, Vacuum Effect Evaporator (VEE) will determine the product quality and efficiency of the petrochemical plant. Control systems that work on VEE must have high performance and reliability. This paper proposes a fault tolerant control system (FTCS) scheme for VEE to accommodate sensor fault and actuator fault that can occur simultaneously. This scheme consists of two things, namely: detection and error diagnosis by using an observer and control signal reconfiguration mechanism with compensation technique. As a real case study, simulated VEE is based on a petrochemical plant in West Java province. Simulation results show that the proposed FTCS is able to compensate for both in the sensor and actuator faults simultaneously, so that the stability and overall system performance remains optimal.


ieee international conference on control system, computing and engineering | 2013

Reconfigurable fault-tolerant control of linear system with actuator and sensor faults

Katherin Indriawati; Trihastuti Agustinah; Achmad Jazidie

This paper presents an active fault-tolerant control for linear system in case of actuator and sensor faults where these minor faults lead to degraded performance of the system. Three steps are proposed to achieve fault tolerant control based on simplified analytical redundancy. Firstly, a bank of linear observer is proposed to estimate the actuator and sensor faults by modeling a descriptor LTI system using the SVD technique. Secondly, the estimated faults are used to design a fault decision scheme to detect the faults correctly. Thirdly, a reconfigurable fault-tolerant control scheme is designed by using the estimated faults to compensate the fault effects on controller performance. Simulation on the three tank system is given to illustrate the performance of the proposed method.


International Review on Modelling and Simulations | 2015

Robust Observer-Based Fault Tolerant Tracking Control for Linear Systems with Simultaneous Actuator and Sensor Faults: Application to a DC Motor System

Katherin Indriawati; Trihastuti Agustinah; Achmad Jazidie


International review of automatic control | 2015

Robust Fuzzy Observer-Based Fault Tolerant Tracking Control for Nonlinear Systems with Simultaneous Actuator and Sensor Faults: Application to a DC Series Motor Speed Drive

Katherin Indriawati; Noboru Sebe; Trihastuti Agustinah; Achmad Jazidie


Jurnal Teknik ITS | 2018

Perancangan Sistem Active Fault Tolerant Control (AFTC) untuk Pengendalian Posisi dengan Kontrol Cascade pada Sistem Servo Modular MS150 DC

Tulus Indra Hermawan; Katherin Indriawati


E3S Web of Conferences | 2018

Study of Supervisory Control Implementation in A Small Scale Variable Speed Wind Turbine

Katherin Indriawati; Ali Musyafa; Bambang L Widjiantoro; Anna Milatul Ummah


asian control conference | 2017

A bias fault estimation of actuators and sensors by optimization with ℓ 0 norm constraint

Mai Ichikawa; Noboru Sebe; Koichi Suyama; Katherin Indriawati


2017 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA) | 2017

Design of sensor fault tolerant control system on variable speed wind turbine

Katherin Indriawati; Ali Musyafa; Bambang L Widjiantoro


Proceeding of the Electrical Engineering Computer Science and Informatics | 2015

Development of the PD/PI extended state observer to detect sensor and actuator faults simultaneously

Katherin Indriawati; Trihastuti Agustinah; Achmad Jazidie

Collaboration


Dive into the Katherin Indriawati's collaboration.

Top Co-Authors

Avatar

Achmad Jazidie

Sepuluh Nopember Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Trihastuti Agustinah

Sepuluh Nopember Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Ali Musyafa

Sepuluh Nopember Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Bambang L Widjiantoro

Sepuluh Nopember Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Noboru Sebe

Kyushu Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Febrianto Bimo Amarto

Sepuluh Nopember Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Kurnia Ma'rifatin Pebriningtyas

Sepuluh Nopember Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Soeprijanto

Sepuluh Nopember Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Koichi Suyama

Tokyo University of Marine Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Mai Ichikawa

Kyushu Institute of Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge