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23rd International Seminar on Intelligent technology and Its Applications, ISITIA 2022

作者： Wahyuadnyana, Kadek Dwi Darwito, Purwadi Agus Physics Engineering Master Program Faculty of Industrial Technology and Systems Engineering Surabaya Indonesia Faculty of Industrial Technology and Systems Engineering Physics Engineering Department Surabaya Indonesia

ISBN: (数字)9781665460811

ISBN: (纸本)9781665460811

A parallel control system with proportional-derivative (PD) and sliding mode control-neural network (SMCNN) has been designed to control the position and attitude of mini-quadcopter parrot mambo mini-drone (PMD). This PDSMCNN control scheme is implemented in the PMD system through a 3D environment using MATLAB-Simulink, which represented the real conditions. The PD controller is used to reach the minimum value of the gain for the PMD getting to take-off, while the SMC as a robust controller is adjusted using a backpropagation neural network (NN) to make the PMD more robust regarding an external disturbance. The software and hardware simulation have been conducted to validate the proposed controller with a mission plan as an input. Based on the simulation results, the PD controller shows an overshoot of 26.7% then becomes 0% of overshoot when the PD-SMCNN controller is implemented. From the hardware simulation results, it is found that the PD controller has 45.1% of robustness and the PD-SMCNN controller has 100% of robustness in the absence of external disturbance. Next, it is found that the PD controller has 26.9% of robustness and the PD-SMCNN has 74.8% of robustness in the presence of external disturbance. Based on these results, indicates that the proposed PD-SMCNN controller is superior to the PD controller in terms of robustness. © 2022 IEEE.

关键词： Neural networks

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Crack Catcher AI — Enabling Smart Fracture Mechanics Approach for Damage Control in Thin Silicon Wafers for 3D Semiconductor Integrated Devices/Packages

Crack Catcher AI — Enabling Smart Fracture Mechanics Approa...

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Annual International Symposium on Reliability physics

作者： Gabriel Preston Greer Gonzolez Andrea S. Karnyoto Fitya S. Mozar Matthew M. Henry Mahmud Isnan Kuncahyo S. Nugroho Henry Candra Muhamad Doris Dianing N. N. Putri Tyas K Sari Bens Pardamean Endang Djuana Derrric Speaks Arief S. Budiman Oregon Renewable Energy Center (OREC) Oregon Institute of Technology (Oregon Tech) Klamath Falls OR USA Dept. of Manufacturing & Mechanical Eng. & Tech. (MMET) Oregon Institute of Technology Klamath Falls OR USA Bioinformatics & Data Science Research Center (BDSRC) Bina Nusantara University Jakarta Indonesia Computer Sci. Dept. BINUS Grad. Program - Master of Computer Sci. Bina Nusantara University Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Center for Artificial Intelligence and Advanced Technology (CAPTIVATE) Universitas TRISAKTI Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Technology Universitas TRISAKTI Jakarta Indonesia Industrial Eng. Dept. BINUS Grad. Program – Master of Industrial Eng. Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331504779

ISBN: (纸本)9798331504786

The importance of silicon cannot be undermined - in photovoltaics (PV) as well as in semiconductor industries. However, silicon is very brittle. Silicon cells/wafers crack easily during manufacturing assembly and/or during device operations. Crack Catcher AI uses novel smart fracture mechanics approach with Artificial Intelligence (AI) methodologies to predict and control crack/damage evolution in thin silicon cells/wafers. This is critical as semiconductor 3D integration technology calls for wafer-to-wafer bonding with utmost alignment accuracy and yield/reliability.

关键词： Semiconductor device measurement Three-dimensional displays Accuracy Semiconductor device reliability Silicon Artificial intelligence Bonding Stress Three-dimensional integrated circuits Stress measurement

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Automation system Architecture of pH Neutralization Process in Batik Wastewater Treatment Plant 4

Automation System Architecture of pH Neutralization Process ...

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4th engineering physics International Conference 2023, EPIC 2023

作者： Diyah, Nazuwatussya Ekawati, E. Pradipta, J. Yulia, E. Master Program of Instrumentation and Control Faculty of Industrial Technology Institut Teknologi Bandung Indonesia Engineering Physics Research Group Faculty of Industrial Technology Institut Teknologi Bandung Indonesia Doctoral Program of Engineering Physics Faculty of Industrial Technology Institut Teknologi Bandung Indonesia Center for Instrumentation Technology and Automation Institut Teknologi Bandung Indonesia

Batik production in home industries needs support wastewater treatment in a limited space. Therefore, a modular-type, lab-scale wastewater treatment plant (WWTP) with a capacity of 87.75 liters and a dimension of 1.5 m × 0.75 m × 1 m has been constructed. The WWTP combines three significant processes: equalization, neutralization, and adsorption. This study focuses on the monitoring systems for the pH neutralization process. The system uses four microprocessors in a master/Slave architecture and the I2C protocols for data communication between processors. The measuring instruments include pH, temperature, turbidity, and flow rate sensors. The actuators consist of submersible and peristaltic pumps. The operating range of pH, temperature, turbidity, and flow rate sensors are 0-14, 25-81.44℃, 0-3000 NTU, and 6.49-20.84 ml/s respectively. The pumps work in Pulse Width Modulation (PWM) mode with an operating range of 125-225 PWM. All sensors and actuators operate linearly within the operating range with a correlation coefficient of 0.97-1. © 2023 Institute of physics Publishing. All rights reserved.

关键词： Turbidity

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Graphene-and Multi-Walled Carbon Nanotubes-Coated Tapered Plastic Optical Fiber for Detection of Lard Adulteration in Olive Oil

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Photonic Sensors 2022年第4期12卷 1-10页

作者： Ika PUSPITA Ninik IRAWATI Kartika Anoraga MADURANI Fredy KURNIAWAN Sekartedjo KOENTJORO Agus Muhamad HATTA Department of Engineering Physics Faculty of Industrial Technology and System EngineeringInstitut Teknologi Sepuluh NopemberSurabaya 60111Indonesia Department of Physics National Taiwan UniversityTaipei 10617China Department of Chemistry Faculty of Science and Data AnalyticsInstitut Teknologi Sepuluh NopemberSurabaya 60111Indonesia

A rapid and high-performance sensor for lard adulterant in edible oil was developed using the tapered plastic optical fiber(POF)coated with graphene and multi-walled carbon *** coating material was deposited onto a tapered POF with a taper waist diameter and a taper length of 0.45 mm and 1 cm,*** addition of the coating material was used to increase the sensitivity and selectivity coefficient of the tapered POF toward the lard *** sensing mechanism is based on a simultaneous interaction of lard substance and an evanescent wave of tapered POF with the coating *** results showed that graphene coating on the tapered POF increased the selectivity coefficient of the tapered POF towards lard substance from 33.54 to 324.19,and it gave a sensitivity of 0.427 dBm/%.In comparison,multi-walled carbon nanotubes coating increased the selectivity coefficient to 71.65 and increased its sensitivity to 1.189 dBm/%.Thus,the proposed configuration of the tapered POF with the coating material offered a simple configuration for a rapid,high sensitivity and selectivity detection of lard adulterant in edible oils.

关键词： Lard adulteration tapered optical fiber sensor graphene carbon nanotubes food safety

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Assessment of Electrocoagulation Control system Strategy in Textile Wastewater Treatment Plant

Assessment of Electrocoagulation Control System Strategy in ...

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2020 International Electronics Symposium, IES 2020

作者： Efendy, Bobby Ekawati, Estiyanti Nazuwatussyadiyah Budi, Eko Mursito Institut Teknologi Bandung Engineering Physics Program Faculty of Industrial Technology Bandung Indonesia Center for Instrumentation Technology and Automation Institut Teknologi Bandung Engineering Physics Research Group Faculty of Industrial Technology Bandung Indonesia

ISBN: (纸本)9781728195308

Electrocoagulation is a method of wastewater treatment that applies an electrical current into the liquid to coagulate the suspended particles. This study assessed two control strategies for electrocoagulation systems in wastewater treatment in terms of dynamic performances and energy consumptions. The first control strategy used the electrical current as a manipulated variable, and the second used the waste liquid flowrate instead. For either strategy, the controlled output was the turbidity of the product liquid. The assessment was conducted in an experimental setting, in a laboratory-scale, continuous pilot plant. The experiment began with the identification of the dynamic characteristics of the electrocoagulation process due to the combined changes in the electrical current between 1.8-5.2 Ampere and the changes in waste flowrate between 10.37-14.67 ml/s. First-Order-Process-with-Time-Delay equations approximated these processes. The statistical Analysis of Variance was used to select the best process condition to compare two control strategies. The associated Proportional Integral controllers were designed and applied for either strategy. The experiment showed that manipulating electrical current yield 7.48% longer settling time, but with significantly lower energy consumption throughout the electrocoagulation process. The result highlighted the benefit of using electrical current as of the manipulated variable in the electrocoagulation process in the pilot plant. © 2020 IEEE.

关键词： Wastewater treatment

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Adaptive control for velocity control of an electric wheelchair

Adaptive control for velocity control of an electric wheelch...

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2013 3rd International Conference on Instrumentation, Control and Automation, ICA 2013

作者： Clearesta, Evan Wardhana, Ananta Adhi Widyotriatmo, Augie Suprijanto, S. Engineering Physics Program Faculty of Industrial Technology ITB Bandung Indonesia Instrumentation and Control Research Group Faculty of Industrial Technology ITB Bandung Indonesia

ISBN: (纸本)9781467357982

This paper presents the implementation of adaptive control of an electric wheelchair. The control objective is to control the velocity of the left and right wheels to follow the desired velocity commands. The equations of motion of the wheelchair are derived. This system compared the wheel rotational velocity that is measured by the encoder with the reference model. The adaptive control equation stability has been checked with Lyapunov stability. The simulation result shows that the electric wheelchair velocity using this control system tracks the desired velocity model. If the input was made truncated, it just makes the system reaches its set point a little bit longer. © 2013 IEEE.

关键词： Velocity

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Experiment of a low cost computation particle filter for localization of an electric wheelchair

Experiment of a low cost computation particle filter for loc...

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2013 International Conference on Robotics, Biomimetics, Intelligent Computational systems, ROBIONETICS 2013

作者： Wardana, Ananta Adhi Widyotriatmo, Augie Janto, Supri Juliastuti, Endang Engineering Physics Program Faculty of Industrial Technology ITB Bandung Indonesia Instrumentation and Control Research Group Faculty of Industrial Technology ITB Bandung Indonesia

ISBN: (纸本)9781479912087

In this paper, an experiment of a novel particle filter for localization of an electric wheelchair is presented. The particle filter algorithm is modified in the sense of using a minimum number of particles, thus a low cost computation particle filter isperformed. The prediction is calculated based upon the dead reckoning methods;the estimation is performed using the vision system which provides position and orientation measurements in the global coordinate. Only a small number of particles are used in the prediction step. The experimental results in the electric wheelchair show the effectiveness of the proposed method. © 2013 IEEE.

关键词： Forecasting

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Bake plate control using a robust multiplexed model predictive control (RMMPC)

Bake plate control using a robust multiplexed model predicti...

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2011 2nd International Conference on Instrumentation Control and Automation, ICA 2011

作者： Joelianto, Endra Prasetia, Iqbal Ginanjar Instrumentation and Control Research Group Engineering Physics Study Program Bandung Institute of Technology Sandung Indonesia Engineering Physics Study Program Faculty of Industrial Technology Bandung Institute of Technology Bandung Indonesia

ISBN: (纸本)9781457714603

This paper proposes a robust multiplexed model predictive control (MMPC) for a bake plate control system. The bake plate is a multi-inputs multi-outputs (MIMO) system which is required to have uniform temperature. In bake plate sytem, the controller must be able to reduce the disturbances caused when placing a cold wafer inside. Results show that the proposed robust MMPC can outperform in attenuating disturbance compare with the MMPC and the standard MPC. © 2011 IEEE.

关键词： Model predictive control

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Autonomous Quadcopter Trajectory Tracking and Stabilization Using Control system Based on Sliding Mode Control and Kalman Filter

Autonomous Quadcopter Trajectory Tracking and Stabilization ...

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International Seminar on Intelligent technology and Its Applications (ISITIA)

作者： Nilla Perdana Agustina Purwadi Agus Darwito Physics Engineering Master Program Faculty of Industrial Technology and System Engineering Sepuluh Nopember Institute of Technology (ITS) Surabaya Indoneisa Physics Engineering Department Faculty of Industrial Technology and System Engineering Sepuluh Nopember Institute of Technology (ITS) Surabaya Indoneisa

In this paper, a control system based on Sliding Mode Control (SMC) and Kalman Filter has been designed to stabilize the quadcopter in the takeoff and hover phases as well as at the expected altitude. The control system is needed to support the performance of the quadcopter in carrying out the mission that has been given. The designed control system begins with the creation of a system model equation and is implemented in a real quadcopter simulation. The resulting response in terms of the results of the resulting control signal is stable, meets the trajectory as expected, and can produce a real quadcopter simulation taking off vertically and flying stably. Even though there was an unstable response for about 15 to 20 seconds at the beginning of the resulting response, after that the system showed stability. Tracking the resulting trajectory in accordance with the desired trajectory. Real quadcopter simulation results show that the takeoff phase can be carried out vertically and that the resulting trajectory stability can be stable during takeoff and flight. The height of the quadcopter has reached 100%, namely with a height of 1.5 meters as expected, and the average error value obtained at the x position is $2.93\mathrm{e}^{-07}$, the y position is $2.96\mathrm{e}^{-}07$, and the z position is $1.80\mathrm{e}^{-03}$. The proposed SMC-Kalman filter control system is expected to be implemented in a conventional quadcopter that has been developed.

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Design and Implementation of Obstacle Detection and Avoidance system for Autonomous Quadrotor 10

Design and Implementation of Obstacle Detection and Avoidanc...

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10th IEEE Information technology International Seminar, ITIS 2024

作者： Ismail, Lutfi Rais Mukhlish, Faqihza Budi, Eko Mursito Institut Teknologi Bandung Engineering Physics Bachelor Program Faculty of Industrial Technology Indonesia Institut Teknologi Bandung Engineering Physics Research Group Center for Instrumentation Technology and Automation Indonesia

ISBN: (纸本)9798331521295

Unmanned aerial vehicles (UAVs) of the quadrotor type are widely used in both civilian and military applications due to their superior maneuverability, lower manufacturing costs, and the absence of crew risk. This has led to an increased demand for control and navigation systems that enable autonomous operation, allowing quadrotors to follow desired flight paths and avoid obstacles. In this study, an obstacle detection and avoidance system for an autonomous quadrotor was designed and implemented. The obstacle detection system can detect obstacles up to 7 meters away with a mean average precision (mAP) of 89.63%. The position estimation system can estimate obstacle positions up to 6 meters on the y-axis and 1.2 meters on the x-axis, with average errors of 0.146 meters and 0.019 meters, respectively. The flight route planning system uses the A∗ algorithm to calculate the shortest path to the target while avoiding obstacles. Based on test results, the quadrotor successfully detects obstacles, estimates their positions, determines the optimal flight route, and follows it with a mean absolute error (MAE) of 0.101 meters, demonstrating reliable autonomous operation. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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