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Autonomous Quadcopter Trajectory Tracking and Stabilization Using Control system Based on Sliding Mode Control and Kalman Filter 24

Autonomous Quadcopter Trajectory Tracking and Stabilization ...

引用

24th International Seminar on Intelligent technology and Its Applications, ISITIA 2023

作者： Agustina, Nilla Perdana Darwito, Purwadi Agus Physics Engineering Master Program Faculty of Industrial Technology and System Engineering Surabaya Indonesia Physics Engineering Department Faculty of Industrial Technology and System Engineering Surabaya Indonesia

ISBN: (纸本)9798350313956

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 2.93e^-07, the y position is 2.96e^-07, and the z position is 1.80e^-03. The proposed SMC-Kalman filter control system is expected to be implemented in a conventional quadcopter that has been developed. © 2023 IEEE.

关键词： Sliding mode control

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Parallel Control system PD-SMCNN for Robust Autonomous Mini-Quadcopter 23

Parallel Control System PD-SMCNN for Robust Autonomous Mini-...

引用

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

Automation System Architecture of pH Neutralization Process ...

引用

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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Enhanced Feature Matching in Image Stitching Using ORB for Image-Based Mapping Using UAV 1

Enhanced Feature Matching in Image Stitching Using ORB for I...

引用

1st engineering and Science International Conference 2024, ESIC 2024

作者： Anoraga, Muhammad Imron Catur Ekawati, Estiyanti Mukhlish, Faqihza Instrumentation and Control Master Program Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Engineering Physics Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Center for Instrumentation Technology and Automation Institut Teknologi Bandung Bandung Indonesia

Image-based region mapping requires an image-stitching process to produce a complete map while preserving the details of the mapped objects. Image acquisition can be done using UAVs such as drones, and image stitching can be performed using the Oriented FAST and Rotated BRIEF (ORB) techniques. However, this algorithm has a drawback: There are many mismatches during feature matching. In this study, a maximum pixel displacement constraint between images was applied during the feature-matching process. Applying this constraint improved the feature-matching results due to a significant reduction of the mismatch rate from 84.28% to 25.17%. This reduction positively impacted subsequent stages, including map stitching. The mismatch removal process and the acquisition of transformation models during image registration became faster, reducing the processing time from 17m 36.8s to 1m 17.2s. Additionally, there was an improvement in the SSIM metric score, indicating that the stitched image results had a higher similarity to the reference image captured by a digital camera, increasing from 0.8423 to 0.8489. © 2025 Institute of physics Publishing. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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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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Design of Image-Based Autonomous Landing Instrumentation and Control system for Unmanned Quadrotor Vehicles 10

Design of Image-Based Autonomous Landing Instrumentation and...

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10th IEEE Information technology International Seminar, ITIS 2024

作者： Fauzan, Ihsan M. Mukhlish, Faqihza Prayoga, Aditya Ahmad, Robby Azhari Institut Teknologi Bandung Instrumentation and Control Master Program Faculty of Industrial Technology Indonesia Institut Teknologi Bandung Engineering Physics Research Group Center for Instrumentation Technology and Automation Indonesia PT. Sas Aero Sishan Engineering Department Indonesia

ISBN: (纸本)9798331521295

The study designs an instrumentation and control system for autonomous quadrotor landing using a visual marker as the landing target. For landing process, the marker used as a landing target is an embedded ArUco marker, capable for detection for both long range and close-range detection. Position of the quadrotor relative from the ArUco marker is estimated using Perspective-N-Point pose estimation. The estimation errors compared to actual measurements are under 20 cm, which is less than the distance between ArUco border and its center. To keep camera for facing downward during the flight, the 2 axis inertially stabilization platform (ISP). The designed ISP can maintain the camera orientation even when quadrotor angle has changed. The landing control system is made for two different scenarios. First scenario is for landing with Global Positioning system (GPS) support, and the second scenario is without GPS support. The landing control system in GPS support scenario uses velocity setpoint to control the quadrotor while in without GPS support scenario, control system uses angle-thrust setpoint to control quadrotor. Quadrotor landing control system can attempt landing on top of the ArUco marker in both scenarios. The trajectory Mean Average Error (MAE) of x and y coordinates and radius of the landing process is (0.108, 0.326, 0.359) m for GPS support scenario and (0.301, 0.251, 0.436) m for without GPS support scenario. © 2024 IEEE.

关键词： Global positioning system

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Software Interference Prevention and SWaP-C Minimization in Cyber-Physical systems Using Hypervisor technology 5

Software Interference Prevention and SWaP-C Minimization in ...

引用

5th IEEE International Conference on technology, Informatics, Management, engineering and Environment, TIME-E 2024

作者： Sridadi, Bambang Joelianto, Endra Nazaruddin, Yul Yunazwin Institut Teknologi Bandung Doctoral Program in Engineering Physics Faculty of Industrial Technology Bandung Indonesia Institut Teknologi Bandung Instrumentation Control and Automation Research Group Faculty of Industrial Technology Bandung Indonesia

ISBN: (纸本)9798350364743

Currently, hypervisor technology is an emerging topic of research. Virtualization technology, especially hypervisors and virtual machines (VM), has been widely studied but is still little applied in the cyber-physical systems (CPS) field. A hypervisor, or VM monitor (VMM), is a software program used to run multiple VMs on a single physical machine through space and time partitioning in a real-time operating system. This paper discusses the hypervisor technology to prevent software interference and to minimize size, weight, and power-cost (SWaP-C) in cyber physical systems, as well as, the application of hypervisor technology in the aerospace, automotive and control fields. By partitioning, a hypervisor can increase software safety because application programs with different criticality levels do not affect each other in failure when run in partitioned VMs. © 2024 IEEE.

关键词： Application programs

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A Microservices-Driven Digital Twin Model for Precision Farming in a Controlled Indoor Environment 5

A Microservices-Driven Digital Twin Model for Precision Farm...

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5th IEEE International Conference on technology, Informatics, Management, engineering and Environment, TIME-E 2024

作者： Lubis, Ramot Widyotriatmo, Augie Albert Joelianto, Endra Institut Teknologi Bandung Doctoral Program in Engineering Physics Faculty of Industrial Technology Bandung Indonesia Institut Teknologi Bandung Instrumentation Control and Automation Research Group Faculty of Industrial Technology Bandung Indonesia

ISBN: (纸本)9798350364743

This paper presents a microservices-driven digital twin (DT) model for precision farming in controlled indoor environments, addressing the critical need for scalable, modular, and real-time agricultural systems. As the global demand for food rises, integrating Industry 4.0, IoT, edge, and cloud computing technologies becomes essential to improve farming process. The proposed model enhances scalability, modularity, and real-time decision making through decentralized data processing. A master-agent containerized computing architecture was employed to reduce latency and optimize environmental control. Moreover, the integration of a Kalman filter improved the accuracy of key environmental parameter adjustments. This research explored how this model can be scaled for larger farming operations and addresses challenges in system interoperability and implementation. Future work will expand this research to diverse agricultural settings, real-world validation, and ensuring data privacy and security. This study provides a framework for advancing precision farming through digital twin technology. © 2024 IEEE.

关键词： Kalman filters

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Analysis of Regenerative Braking Energy Utilization in KfW i9000 Electric Trains on the Palur-Yogyakarta Operation 7

Analysis of Regenerative Braking Energy Utilization in KfW i...

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7th Astechnova International Energy Conference, ASTECHNOVA 2023

作者： Darmawan, Arief Budiarto, Rachmawan Irnawan, Roni Master Program System Engineering Faculty of Engineering Universitas Gadjah Mada Jl. Teknika utara no 3 Yogyakarta55281 Indonesia Department of Nuclear Engineering and Engineering Physics Faculty of Engineering Universitas Gadjah Mada Jl. Grafika 2 Yogyakarta55281 Indonesia Department of Electrical Engineering and Information Technology Faculty of Engineering Universitas Gadjah Mada Jl. Grafika 2 Yogyakarta55281 Indonesia

This study explores the potential assessment. of regenerative braking energy in the operation of Electric Multiple Units (EMU) on the Yogyakarta-Palur railway line, a 65.03 km. Prompted by a noticeable increase in passenger numbers in the Yogyakarta metropolitan buffer zone, the study calls for future energy management strategies, involving regenerative braking to reduce energy consumption. Utilizing a mathematical model implemented via MATLAB Simulink, the research encompasses complex train movement scenarios, considering variables such as acceleration values of 0.558 m/s2 and 1 m/s2, and deceleration values of -0.555 m/s2 and 0.36 m/s2. Speed limitations, travel patterns, and energy profiles are rigorously examined, along with incline influences, such as tangent angles of 0.0032 degrees and 0.0017 degrees. In segments like Purwosari-Solo Jebres, electrical energy consumption is quantified at 23.02 kWh, with regenerative braking energy at 1.42 kWh;in Maguwo-Brambanan, consumption is 15.28 kWh, with regenerative energy at 2.42 kWh. The peak power requirements and regenerative braking potentials were also determined, with values such as 619.9 kW and 225.7 kW, and 1785 kW and 198.2 kW respectively. The total electrical consumption for the routes from Palur to Yogyakarta and vice versa was found to be 325.52 kWh and 276.73 kWh, with energy recovery of 31.43 kWh and 26.6 kWh, and average energy recovery ratios of 9.66% and 9.61%. © Published under licence by IOP Publishing Ltd.

关键词： Railroads

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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 ...

引用

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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