Aries Subiantoro | University of Indonesia (original) (raw)

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Papers by Aries Subiantoro

Research paper thumbnail of Desain sistem kendali jelajah cerdas berbasis model linear bertingkat = Design of intelligent cruise control based on multistage linear model

Research paper thumbnail of Perancangan pengendali prediktif self triggered terdistribusi untuk model nonholonomic mobile robot = Design of distributed self triggered model predictive control for nonholonomic mobile robot model

Research paper thumbnail of Identifikasi dan perancangan pengendali prediktif berbasis model linear bertingkat untuk mesin pendingin crac = Identification and design of predictive control based on linear model multistage for computer room air conditioner system/ Satria Adi Prabowo

Fakultas Teknik Universitas Indonesia, 2014

Research paper thumbnail of Perancangan pengendali prediktif berbasis model sub-space dengan vektor bias pada sistem tata udara presisi = Design of predictive control with sub space model with bias vektor at presicion air conditioning system

Research paper thumbnail of Perancangan sistem kendali prediktif pada sistem dinamik kendaran roda empat = Design predictive control system for the four wheel vehicle dynamic system / Muhammad Haris Iskandar

Research paper thumbnail of Perancangan dan implementasi pengendali model predictive control dengan constraint untuk pengaturan level pada coupled - tank basic process RIG 38 - 100 = The designing and implementing of model predictive controller with constraint for coupled tank basic process RIG 38-100 level control

Research paper thumbnail of Desain pengendali prediktif terdistribusi dengan mekanisme event-triggered untuk sistem multi-agent nonholonomic mobile robot = Design of distributed consensus predictive controller with event-triggered mechanism for nonholonomic mobile robot multi-agent system

Research paper thumbnail of Deep Learning Neural Networks Diagnosis of Power Transformer through Its DGA Data

Research paper thumbnail of Consensus of Double-Integrator Multi-Agent Systems Using Decentralized Model Predictive Control

HAL (Le Centre pour la Communication Scientifique Directe), Dec 17, 2017

This paper presents a consensus algorithm for continuous-time double-integrator multi-agent syste... more This paper presents a consensus algorithm for continuous-time double-integrator multi-agent systems with measurement/communication noises under directed fixed and switching topologies. The paper employs the algebraic graph theory and the stochastic tools to develop a consensus protocol in which a time-varying consensus gain is introduced to attenuate the additive white noises corrupting the information exchange between agents. Each agent's control input relies on its own information state and its neighbors' inaccurate information states and does not need the neighbors' information state derivatives. Conditions to guarantee mean square asymptotic convergence under noisy measurement for both fixed and switching topologies are derived. The consensus protocols developed in the noisy measurement case are proved to be still valid in the noise-free case, and they can ensure asymptotic mean square convergence. Finally, to illustrate the approach presented, some numerical simulations are carried out.

Research paper thumbnail of Sistem Pembangkit Laju-Aliran-Rendah Fluida Cair Presisi Tinggi menggunakan Kendali PID

ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika

ABSTRAKPeralatan infus medis seperti syringe pump dan infusion pump semakin banyak digunakan di r... more ABSTRAKPeralatan infus medis seperti syringe pump dan infusion pump semakin banyak digunakan di rumah sakit dan fasilitas-fasilitas kesehatan. Kalibrasi peralatan tersebut sangat krusial dilakukan untuk mengidentifikasi penyimpangan pengukuran dan menghindari kerugian klinis hingga mortalitas. Peralatan tersebut umumnya dikalibrasi dengan metode perbandingan terhadap Infusion Device Analyzer (IDA). Untuk memastikan ketertelusuran kalibrasi tersebut, IDA perlu dikalibrasi, salah satunya dengan metode gravimetrik. Namun, kendala terbesar dalam kalibrasi IDA adalah membangkitkan laju aliran rendah dengan keberulangan yang baik dan kepresisian tinggi. Pada penelitian ini telah dibangun sebuah sistem pembangkit laju aliran rendah fluida cair presisi tinggi menggunakan kendali PID lingkar tertutup dengan kecepatan motor DC sebagai feedback. Hasil pengujian menunjukkan bahwa sistem dapat membangkitkan laju aliran pada rentang ukur 100 ml/jam kemudian turun ke 10 ml/jam. Ketidakpastian peng...

Research paper thumbnail of Autonomous Human and Animal Classification using Synthetic 2D Tensor Data based on Dual-Receiver mmWave Radar System

IEEE Access, 2023

This work was supported in part by the Engineering Faculty Universitas Indonesia under Grant NKB-... more This work was supported in part by the Engineering Faculty Universitas Indonesia under Grant NKB-503/UN2.RST/HKP.05.00/2023. This work involved human subjects or animals in its research. Approval of all ethical and experimental procedures and protocols was granted by Universitas Indonesia.

Research paper thumbnail of Optimasi Kinerja Fuel Cell pada Sistem Kereta Hibrida menggunakan Metode External Energy Maximization Strategy

Research paper thumbnail of Online Multi-Object Tracking (Mot) of Sequential Thermal Images Based on Deep Appearance Features Using Yolo-Deepsort

Research paper thumbnail of Development of Autonomous Control System using Self-Organizing Map and Autoregressive Self-Organizing Map

2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

Research paper thumbnail of Gas Turbine Anomaly Prediction using Hybrid Convolutional Neural Network with LSTM in Power Plant

2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), Jun 16, 2022

Research paper thumbnail of Obtaining the Optimum Estimated Coefficient Value of Tire Cornering Stiffness and Air Drag for a Commuter Electric Car Model Using the Curve Fitting Least Square Method

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)

Stability and safety are the essential factors for commuter electric vehicles despite the battery... more Stability and safety are the essential factors for commuter electric vehicles despite the battery and charging system. There were many accidents caused by the loss of stability of the vehicle. Stability factors included the dynamic responses of the yaw rate and the side slip angle, which were affected by tire cornering stiffness and air drag coefficient parameters. These were the key general problems in building a sophisticated and reliable advanced dynamics control system for electric vehicles. In this study, the curve fitting least square method was proposed and validated as a way to estimate the optimum value of tire cornering stiffness and air drag coefficients, which greatly affected the stability response of the two-track vehicle model. The dynamic responses generated by the model after applying the optimum estimated parameters were compared to and validated against CarSim simulator results. A double line change procedure used to test and validate the proposed method because vehicles tend to lose their stability during this type of yawing tendency maneuver. The comparison between the model and CarSim resulted in a decrease of RMSE error of the model by 62.26% for side slip, 42.76% for velocity, and 80.44% for yaw rate after applying the tuned parameters. These numbers meant that the optimum estimated coefficient value of tire cornering stiffness and air drag force could be obtained using the least square, and the impact of model error could be mitigated as well.

Research paper thumbnail of Core Power Modelling of High-Temperature Engineering Test Reactor (HTTR) Using Nonlinear Least Squares Method for Parameter Estimation

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)

The high-temperature gas cooled-reactor (HTGR) has been constructed in Japan and produces rated p... more The high-temperature gas cooled-reactor (HTGR) has been constructed in Japan and produces rated power operation and hydrogen, contributing to the development of future energy strategies. One type of HTGR, the high-temperature engineering test reactor (HTTR), uses long hexagonal fuel assemblies. The HTTR is a graphite-moderated, helium-gas-cooled reactor with thermal power of 30 MW, an inlet coolant temperature of 395° C, and an outlet coolant temperature of 950° C. In this paper, a nonlinear mathematical model of the nuclear reactor core was derived in derivative form using fundamental principles. Unknown parameter data could be estimated with physics equations using the nonlinear least squares curve fitting method. The validation between the mathematical model and experimental data of the plant-obtained simulation response indicates that the model could have been used for further optimization and control. The simulation-response results showed that the mathematical model with estimated parameters has an accuracy above 89%. Consequently, based on the simulation response, the mathematical model could be used as the HTTR continues to function.

Research paper thumbnail of Design of Optimal Controller for Parallel Hybrid Electric Vehicle Based On Shortest Path Algorithm

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2019

Increasing fuel price has forced automotive manufacturers to innovate in increasing fuel efficien... more Increasing fuel price has forced automotive manufacturers to innovate in increasing fuel efficiency. Hybrid vehicles, especially Parallel Hybrid Electric Vehicle configuration have been proven to be able to improve fuel efficiency. The main key in term of fuel efficiency of hybrid vehicles is the controller of the Energy Management System (EMS) that manages the performance of the engine and motor so that the vehicle can work in the optimal working range. In this paper, the controller is designed by using shortest path algorithm to find control sequences with the most efficient cost to finish a drive cycle. Because the controller purposed in this paper is using open loop model, then this method can be used as a benchmark to be compared with another method. The result of this study is this method can be used to control EMS of parallel hybrid car efficiently.

Research paper thumbnail of Model Predictive Control of Precision Air Conditioning System with Secondary Condenser

Proceedings of the Proceedings of the 1st International Conference on Environmental Science and Sustainable Development, ICESSD 2019, 22-23 October 2019, Jakarta, Indonesia, 2020

Due to high specification of ASHRAE requirements, a data center (DC) must have sophisticated cool... more Due to high specification of ASHRAE requirements, a data center (DC) must have sophisticated cooling system to maintain its environment conditions. Its high dimensional coupling system dynamics makes controller design very challenging and complicated. A non-linear system model of a precision air conditioning (PAC) system with secondary condenser has been previously developed and then linearized at steady state operating point. Based on the model, a model predictive control (MPC) based controller is designed to deal with coupling state variables(i.e: temperature and relative humidity). The controller also has ability to improve energy efficiency of the PAC system. The performance of the proposed controller is validated through simulation. The results showed the effectiveness of MPC based controller against the defined constraints.

Research paper thumbnail of Control of Electronic Devices Using Neural Network Based Sundanese Speech Recognition

2019 IEEE International Conference on Innovative Research and Development (ICIRD), 2019

This paper describes how speech recognition automatically uses the local language that originated... more This paper describes how speech recognition automatically uses the local language that originated from Indonesia, namely the Sundanese, which can control electronic devices in the home. Sundanese is the second most widely used regional language in Indonesia after Java. Voice recognition using Sundanese is carried out in this study to be able to control several electronic devices directly with high accuracy. The method used in the introduction of Sundanese is the Mel Frequency Cepstral Coefficient (MFCC) extraction method and identification of backpropagation-based neural networks. There are 10 Sundanese instructions used in the introduction to speech as input to the system, and each instruction has 2 to 3 Sundanese syllables. The output used by the author in this paper is five household electronic devices, to turn on or turn off controlled output using 2 Sundanese instructions. The data used in the backpropagation training process is 300 data; each instruction is 30 data. The results of training weights can produce an accuracy rate of 96.7% when testing the system. The control system uses the MFCC method and artificial neural network backpropagation algorithm so that the program works and Sundanese language voice recognition is good.

Research paper thumbnail of Desain sistem kendali jelajah cerdas berbasis model linear bertingkat = Design of intelligent cruise control based on multistage linear model

Research paper thumbnail of Perancangan pengendali prediktif self triggered terdistribusi untuk model nonholonomic mobile robot = Design of distributed self triggered model predictive control for nonholonomic mobile robot model

Research paper thumbnail of Identifikasi dan perancangan pengendali prediktif berbasis model linear bertingkat untuk mesin pendingin crac = Identification and design of predictive control based on linear model multistage for computer room air conditioner system/ Satria Adi Prabowo

Fakultas Teknik Universitas Indonesia, 2014

Research paper thumbnail of Perancangan pengendali prediktif berbasis model sub-space dengan vektor bias pada sistem tata udara presisi = Design of predictive control with sub space model with bias vektor at presicion air conditioning system

Research paper thumbnail of Perancangan sistem kendali prediktif pada sistem dinamik kendaran roda empat = Design predictive control system for the four wheel vehicle dynamic system / Muhammad Haris Iskandar

Research paper thumbnail of Perancangan dan implementasi pengendali model predictive control dengan constraint untuk pengaturan level pada coupled - tank basic process RIG 38 - 100 = The designing and implementing of model predictive controller with constraint for coupled tank basic process RIG 38-100 level control

Research paper thumbnail of Desain pengendali prediktif terdistribusi dengan mekanisme event-triggered untuk sistem multi-agent nonholonomic mobile robot = Design of distributed consensus predictive controller with event-triggered mechanism for nonholonomic mobile robot multi-agent system

Research paper thumbnail of Deep Learning Neural Networks Diagnosis of Power Transformer through Its DGA Data

Research paper thumbnail of Consensus of Double-Integrator Multi-Agent Systems Using Decentralized Model Predictive Control

HAL (Le Centre pour la Communication Scientifique Directe), Dec 17, 2017

This paper presents a consensus algorithm for continuous-time double-integrator multi-agent syste... more This paper presents a consensus algorithm for continuous-time double-integrator multi-agent systems with measurement/communication noises under directed fixed and switching topologies. The paper employs the algebraic graph theory and the stochastic tools to develop a consensus protocol in which a time-varying consensus gain is introduced to attenuate the additive white noises corrupting the information exchange between agents. Each agent's control input relies on its own information state and its neighbors' inaccurate information states and does not need the neighbors' information state derivatives. Conditions to guarantee mean square asymptotic convergence under noisy measurement for both fixed and switching topologies are derived. The consensus protocols developed in the noisy measurement case are proved to be still valid in the noise-free case, and they can ensure asymptotic mean square convergence. Finally, to illustrate the approach presented, some numerical simulations are carried out.

Research paper thumbnail of Sistem Pembangkit Laju-Aliran-Rendah Fluida Cair Presisi Tinggi menggunakan Kendali PID

ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika

ABSTRAKPeralatan infus medis seperti syringe pump dan infusion pump semakin banyak digunakan di r... more ABSTRAKPeralatan infus medis seperti syringe pump dan infusion pump semakin banyak digunakan di rumah sakit dan fasilitas-fasilitas kesehatan. Kalibrasi peralatan tersebut sangat krusial dilakukan untuk mengidentifikasi penyimpangan pengukuran dan menghindari kerugian klinis hingga mortalitas. Peralatan tersebut umumnya dikalibrasi dengan metode perbandingan terhadap Infusion Device Analyzer (IDA). Untuk memastikan ketertelusuran kalibrasi tersebut, IDA perlu dikalibrasi, salah satunya dengan metode gravimetrik. Namun, kendala terbesar dalam kalibrasi IDA adalah membangkitkan laju aliran rendah dengan keberulangan yang baik dan kepresisian tinggi. Pada penelitian ini telah dibangun sebuah sistem pembangkit laju aliran rendah fluida cair presisi tinggi menggunakan kendali PID lingkar tertutup dengan kecepatan motor DC sebagai feedback. Hasil pengujian menunjukkan bahwa sistem dapat membangkitkan laju aliran pada rentang ukur 100 ml/jam kemudian turun ke 10 ml/jam. Ketidakpastian peng...

Research paper thumbnail of Autonomous Human and Animal Classification using Synthetic 2D Tensor Data based on Dual-Receiver mmWave Radar System

IEEE Access, 2023

This work was supported in part by the Engineering Faculty Universitas Indonesia under Grant NKB-... more This work was supported in part by the Engineering Faculty Universitas Indonesia under Grant NKB-503/UN2.RST/HKP.05.00/2023. This work involved human subjects or animals in its research. Approval of all ethical and experimental procedures and protocols was granted by Universitas Indonesia.

Research paper thumbnail of Optimasi Kinerja Fuel Cell pada Sistem Kereta Hibrida menggunakan Metode External Energy Maximization Strategy

Research paper thumbnail of Online Multi-Object Tracking (Mot) of Sequential Thermal Images Based on Deep Appearance Features Using Yolo-Deepsort

Research paper thumbnail of Development of Autonomous Control System using Self-Organizing Map and Autoregressive Self-Organizing Map

2022 9th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)

Research paper thumbnail of Gas Turbine Anomaly Prediction using Hybrid Convolutional Neural Network with LSTM in Power Plant

2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom), Jun 16, 2022

Research paper thumbnail of Obtaining the Optimum Estimated Coefficient Value of Tire Cornering Stiffness and Air Drag for a Commuter Electric Car Model Using the Curve Fitting Least Square Method

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)

Stability and safety are the essential factors for commuter electric vehicles despite the battery... more Stability and safety are the essential factors for commuter electric vehicles despite the battery and charging system. There were many accidents caused by the loss of stability of the vehicle. Stability factors included the dynamic responses of the yaw rate and the side slip angle, which were affected by tire cornering stiffness and air drag coefficient parameters. These were the key general problems in building a sophisticated and reliable advanced dynamics control system for electric vehicles. In this study, the curve fitting least square method was proposed and validated as a way to estimate the optimum value of tire cornering stiffness and air drag coefficients, which greatly affected the stability response of the two-track vehicle model. The dynamic responses generated by the model after applying the optimum estimated parameters were compared to and validated against CarSim simulator results. A double line change procedure used to test and validate the proposed method because vehicles tend to lose their stability during this type of yawing tendency maneuver. The comparison between the model and CarSim resulted in a decrease of RMSE error of the model by 62.26% for side slip, 42.76% for velocity, and 80.44% for yaw rate after applying the tuned parameters. These numbers meant that the optimum estimated coefficient value of tire cornering stiffness and air drag force could be obtained using the least square, and the impact of model error could be mitigated as well.

Research paper thumbnail of Core Power Modelling of High-Temperature Engineering Test Reactor (HTTR) Using Nonlinear Least Squares Method for Parameter Estimation

2021 International Conference on Artificial Intelligence and Mechatronics Systems (AIMS)

The high-temperature gas cooled-reactor (HTGR) has been constructed in Japan and produces rated p... more The high-temperature gas cooled-reactor (HTGR) has been constructed in Japan and produces rated power operation and hydrogen, contributing to the development of future energy strategies. One type of HTGR, the high-temperature engineering test reactor (HTTR), uses long hexagonal fuel assemblies. The HTTR is a graphite-moderated, helium-gas-cooled reactor with thermal power of 30 MW, an inlet coolant temperature of 395° C, and an outlet coolant temperature of 950° C. In this paper, a nonlinear mathematical model of the nuclear reactor core was derived in derivative form using fundamental principles. Unknown parameter data could be estimated with physics equations using the nonlinear least squares curve fitting method. The validation between the mathematical model and experimental data of the plant-obtained simulation response indicates that the model could have been used for further optimization and control. The simulation-response results showed that the mathematical model with estimated parameters has an accuracy above 89%. Consequently, based on the simulation response, the mathematical model could be used as the HTTR continues to function.

Research paper thumbnail of Design of Optimal Controller for Parallel Hybrid Electric Vehicle Based On Shortest Path Algorithm

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 2019

Increasing fuel price has forced automotive manufacturers to innovate in increasing fuel efficien... more Increasing fuel price has forced automotive manufacturers to innovate in increasing fuel efficiency. Hybrid vehicles, especially Parallel Hybrid Electric Vehicle configuration have been proven to be able to improve fuel efficiency. The main key in term of fuel efficiency of hybrid vehicles is the controller of the Energy Management System (EMS) that manages the performance of the engine and motor so that the vehicle can work in the optimal working range. In this paper, the controller is designed by using shortest path algorithm to find control sequences with the most efficient cost to finish a drive cycle. Because the controller purposed in this paper is using open loop model, then this method can be used as a benchmark to be compared with another method. The result of this study is this method can be used to control EMS of parallel hybrid car efficiently.

Research paper thumbnail of Model Predictive Control of Precision Air Conditioning System with Secondary Condenser

Proceedings of the Proceedings of the 1st International Conference on Environmental Science and Sustainable Development, ICESSD 2019, 22-23 October 2019, Jakarta, Indonesia, 2020

Due to high specification of ASHRAE requirements, a data center (DC) must have sophisticated cool... more Due to high specification of ASHRAE requirements, a data center (DC) must have sophisticated cooling system to maintain its environment conditions. Its high dimensional coupling system dynamics makes controller design very challenging and complicated. A non-linear system model of a precision air conditioning (PAC) system with secondary condenser has been previously developed and then linearized at steady state operating point. Based on the model, a model predictive control (MPC) based controller is designed to deal with coupling state variables(i.e: temperature and relative humidity). The controller also has ability to improve energy efficiency of the PAC system. The performance of the proposed controller is validated through simulation. The results showed the effectiveness of MPC based controller against the defined constraints.

Research paper thumbnail of Control of Electronic Devices Using Neural Network Based Sundanese Speech Recognition

2019 IEEE International Conference on Innovative Research and Development (ICIRD), 2019

This paper describes how speech recognition automatically uses the local language that originated... more This paper describes how speech recognition automatically uses the local language that originated from Indonesia, namely the Sundanese, which can control electronic devices in the home. Sundanese is the second most widely used regional language in Indonesia after Java. Voice recognition using Sundanese is carried out in this study to be able to control several electronic devices directly with high accuracy. The method used in the introduction of Sundanese is the Mel Frequency Cepstral Coefficient (MFCC) extraction method and identification of backpropagation-based neural networks. There are 10 Sundanese instructions used in the introduction to speech as input to the system, and each instruction has 2 to 3 Sundanese syllables. The output used by the author in this paper is five household electronic devices, to turn on or turn off controlled output using 2 Sundanese instructions. The data used in the backpropagation training process is 300 data; each instruction is 30 data. The results of training weights can produce an accuracy rate of 96.7% when testing the system. The control system uses the MFCC method and artificial neural network backpropagation algorithm so that the program works and Sundanese language voice recognition is good.