Garuda - Garba Rujukan Digital

Design and Implementation of a Magnetic Levitation System Controller using Global Sliding Mode Control Uswarman, Rudi; Cahyadi, Adha Iman; Wahyunggoro, Oyas
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 5, No 1 (2014)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

This paper presents global sliding mode control and conventional sliding mode control for stabilization position of a levitation object. Sliding mode control will be robusting when in sliding mode condition. However, it is not necessarily robust at attaining phase. In the global sliding mode control, the attaining motion phase was eliminated, so that the robustness of the controller can be improved. However, the value of the parameter uncertainties needs to be limited. Besides that, the common problem in sliding mode control is high chattering phenomenon. If the chattering is too large, it can make the system unstable due the limited ability of electronics component. The strategy to overcome the chattering phenomenon is needed. Based on simulation and experimental results, the global sliding mode control has better performance than conventional sliding mode control.Â Â

Design and Implementation of a Magnetic Levitation System Controller using Global Sliding Mode Control Rudi Uswarman; Adha Iman Cahyadi; Oyas Wahyunggoro
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 5, No 1 (2014)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2014.v5.17-26

This paper presents global sliding mode control and conventional sliding mode control for stabilization position of a levitation object. Sliding mode control will be robusting when in sliding mode condition. However, it is not necessarily robust at attaining phase. In the global sliding mode control, the attaining motion phase was eliminated, so that the robustness of the controller can be improved. However, the value of the parameter uncertainties needs to be limited. Besides that, the common problem in sliding mode control is high chattering phenomenon. If the chattering is too large, it can make the system unstable due the limited ability of electronics component. The strategy to overcome the chattering phenomenon is needed. Based on simulation and experimental results, the global sliding mode control has better performance than conventional sliding mode control.

Sliding Mode Control with Gain-Scheduled for Magnetic Levitation System Rudi Uswarman; Swadexi Istiqphara; Denny Hidayat T.N.
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 5, No 1 (2019): June
Publisher : Universitas Ahmad Dahlan

This paper presents a study of controlling magnetic levitation object using conventional sliding mode control (CSMC) and sliding mode control (SMC) with gain-scheduled. SMC with gain-scheduled aims to improve the robustness of the control system from disturbance. The CSMC simulation results show that output can follow the set point if there is no interference, but if the disturbance happens then there is overshoot and undershoot of 0.034 mm and 0.07 mm for disturbance 10 âˆ— sin (ð‘¡) and 20 âˆ— sin (ð‘¡). Then SMC with gain-scheduled shows excellent performance because the output can follow the reference even if it got disturbance of 10 âˆ— sin (ð‘¡) and 20 âˆ— sin (ð‘¡).

Identifikasi Kedipan Mata dengan Menggunakan Sensor Electroencephalography dan Metode K-Nearest Neighbour swadexi istiqphara; Rudi Uswarman; Uri Arta Ramadhani
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 1 (2020): April 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Pada paper ini membahas tentang pendeteksian kedipan mata dengan menggunakan metode K-Nearest Neighbour dan Perangkat sensor gelombang otak (Electroencephalography/EEG). EEG atau Sensor gelombang otak merupakan sensor yang terdiri dari elektroda yang berfungsi untuk mendeteksi sinyal-sinyal listrik pada permukaan kulit kepala. Sinyal-sinyal listrik dihasilkan oleh gelombang otak saat tubuh melakukan aktifitas fisik, seperti mengedipkan mata, menggerakan tangan, kondisi tidur dan juga saat emosi. Pada EEG, elektroda yang digunakan sebaiknya lebih dari satu buah, hal ini untuk mendeteksi perubahan sinyal listrik dibeberapa bagian kepala sehingga dapat meningkatkan jenis aktifitas tubuh yang dapat diidentifikasi. Luaran EEG merupakan hasil pembacaan listrik yang dikonversi kedalam nilai ADC, sehingga masih membutuhkan pemrosesan selanjutnya agar dapat digunakan untuk mendeteksi gerakan. Pada paper ini digunakan metode K-Nearest Neighbour dengan dua teknik pemrosesan data untuk memproses data yang dihasilkan oleh elektroda untuk mendeteksi berkedip atau tidak. Hasil yang diperoleh menunjukan KNN #2 memiliki performa yang lebih baik dibandingkan metode KNN #1 baik dalam akurasi maupun kecepatan.

Perancangan Sistem Kendali Quadcopter Menggunakan Modified Sliding Mode Control Rudi Uswarman; Swadexi Istiqphara
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 8 No 3: Agustus 2019
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1399.994 KB)

Quadcopter has nonlinear dynamics that require a robust controller to be able to fly stably. This paper uses a nonlinear controller, namely Sliding Mode Control (SMC). SMC has advantages such as robust from disturbance and uncertainty of parameters and ability to maintain stability, even when the dynamics model is not precise. The simulation compares the reliability of conventional SMC and modified SMC controls. Modified SMC control has the purpose of increasing the robustness of control system from disturbance and uncertainty. Based on the simulation, the modified SMC control has better reliability than conventional SMC. In conventional SMC control, the quadcopter response on the x-axis, to the reference position, has overshoots of 0.7 meters and 0.48 meters; and an undershoot of 0.45 meters. Then, the y-axis movement response has an overshoot of 0.3 meters and undershoots of 0.3 meters and 0.48 meters. The conventional SMC output of the z-axis movement has an undershoot of 1.75 meters, while on the modified SMC control, there are only overshoot and undershoot of 0.3 meters on the y-axis movement. Modified SMC control is more reliable than conventional SMC controls because the switching control of the modified SMC can adaptively change, according to the error caused by interference. The greater the uncertainty, the greater the error. A large error can increase the switching control frequency, so that the level of robustness will increase

Robust Control of a Quadcopter Flying via Sliding Mode Rudi Uswarman; Swadexi Istiqphara; Rajif Agung Yunmar; Arkham Zahri Rakhman
Journal of Science and Applicative Technology Vol 2 No 1 (2019): ICoSITeR Special Edition
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Sliding Mode Control (SMC) used to control the stability of a quadcopter from disturbances and uncertainties. This technique has two main advantages: the nonlinear dynamics and modelling errors of the quadcopter can be eliminated by switching function and the uncertainty problem can be overcome with a closed-loop response. The controller of the sliding mode technique consists of two components. The first is design equivalent control law to maintain the system state trajectory on the sliding surface. The second is design switching control law to reach the sliding surface. The Lyapunov theorem is used to ensure the stability of the system. Simulation results verify the robustness of the controller.

Desain dan Implementasi Elektrokardiogram (EKG) Portable Menggunakan Arduino Rudi Uswarman
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 11 No. 1 (2017)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v11n1.2010

Intisari--- Elektrokardiogram (EKG) merupakan pendeteksian aktivitas sinyal denyut jantung, sinyal tersebut ditampilkan di monitor atau grafik di kertas. Penelitian yang dilakukan yakni mendesain dan mengimplementasikan alat EKG portable dengan menggunakan Arduino. Sinyal dihasilkan dari EKG portable ialah sinyal denyut jantung yakni P, Q, R, S, dan T dan ditampilkan secara real time pada PC dengan software LabVIEW. Perancangan EKG portable dibagi menjadi dua tahap, tahap pertama ialah merancang penguat dan filter yang terdiri dari penguat awal, band pass filter, low pass filter, penguat kedua, dan penguat penjumlah. Tahap kedua ialah merancang perangkat lunak, yang terdiri dari memprogram Arduino, merancang block diagram LabVIEW, dan merancang front panel LabVIEW. Rancangan penguat, filter, dan perangkat lunak yang telah dibuat, selanjutnya di uji untuk mendeteksi sinyal EKG dengan menggunakan 3 sensor elektroda. Sensor tersebut dipasang menggunakan aturan Einthoven dengan sadapan bipolar lead 2. Pada penelitian, EKG portable dapat mendeteksi sinyal EKG yang terdiri dari P,Q,R,S, dan T secara real time pada PC. Sinyal EKG masih terdapat noise yang sangat kecil sehingga masih dapat ditoleransi.Kata kunci--- elektroardiogram (EKG), filter, penguat, Einthoven. Abstract--- An electrocardiogram (ECG) is a heart rate signal activity detection, the signals are displayed on a monitor or graph paper. Research carried out the design and implementation of portable EKG using Arduino. The signal generated from portable ECG heart rate signal is the P, Q, R, S, and T and displayed in real time on a PC with LabVIEW software. The design of portable EKG is divided into two stages, the first stage is to design an amplifier and filter consisting of the initial amplifier, band pass filter, low pass filter, a second amplifier, and a summing amplifier. The second phase is to design the software, which consists of an Arduino programming, designing LabVIEW block diagram, and designing LabVIEW front panel. The design of the amplifier, filters, and software that has been made, then tested to detect ECG signals using three sensor electrodes. The sensor is mounted using rules Einthoven with bipolar leads are leads 2. In the study, a portable ECG can detect ECG signals consisting of P, Q, R, S, and T in real time on a PC. ECG signal there is still a very small noise that can be tolerated.Keywords--- electrocardiogram (ECG), filter, amplifier, Einthoven.

RANCANG BANGUN WIRELESS SENSOR NETWORK PERINGATAN DINI LONGSOR BERBASIS MIKROKONTROLER Denny Nugroho; Rudi Uswarman
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 13 No. 3 (2019)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v13n3.2126

Intisari — Bencana alam seperti gerakan tanah atau longsor dapat terjadi pada berbagai skala dan kecepatan. Untuk meminimalkan kerugian akibat bencana tersebut maka dilakukan usaha mengenal tanda-tanda yang mengawali gerakan tanah, atau disebut sebagai mitigasi. Penelitian ini dilakukan untuk merancang wireless sensor network yang mampu mengidentifikasi bencana longsor. Node sensor terdiri dari: sensor getaran, sensor kemiringan lahan, sensor pergeseran lahan, kontroler, dan modul transmisi data. Node-node sensor ini ditanam pada daerah yang rawan longsor dan saling berkomunikasi antara node satu dengan lainnya. Data-data berupa getaran, kemiringan lahan, dan status selalu ditransmisikan ke base station sistem peringatan dini longsor secara realtime. Ketika bencana longsor akan segera terjadi node sensor diharapkan mampu mendeteksi dan mengaktifkan alarm yang ada pada node sensor serta mengirimkan tanda bahaya ke base station. Kata Kunci — longsor, wireless sensor network, node sensor, mikrokontroler Abstrak — Natural disasters such as land movements or landslides can occur at various scales and speeds. To minimize damages due to the disaster, an effort is made to recognize the signs that initiate soil movements or referred to as mitigation. This research was conducted to design a wireless sensor network that can identify landslides. Sensor nodes consist of vibration sensor, slope sensor, land shift sensor, controller, and data transmission module. These sensor nodes are planted in areas inclined to landslides and communicate with each other between nodes. The data vibration, the slope of the land, and status are always transmitted to the base station of the landslide early warning system in real time. When an landslide will occur soon the sensor node is expected to be able to detect and activate the alarm on the sensor node and send an signal to the base station. Keyword — landslides, wireless sensor networks, sensor nodes, microcontrollers

Identifikasi Kedipan Mata dengan Menggunakan Sensor Electroencephalography dan Metode K-Nearest Neighbour swadexi istiqphara; Rudi Uswarman; Uri Arta Ramadhani
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 1 (2020): April 2020
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v3i1.1963

Pada paper ini membahas tentang pendeteksian kedipan mata dengan menggunakan metode K-Nearest Neighbour dan Perangkat sensor gelombang otak (Electroencephalography/EEG). EEG atau Sensor gelombang otak merupakan sensor yang terdiri dari elektroda yang berfungsi untuk mendeteksi sinyal-sinyal listrik pada permukaan kulit kepala. Sinyal-sinyal listrik dihasilkan oleh gelombang otak saat tubuh melakukan aktifitas fisik, seperti mengedipkan mata, menggerakan tangan, kondisi tidur dan juga saat emosi. Pada EEG, elektroda yang digunakan sebaiknya lebih dari satu buah, hal ini untuk mendeteksi perubahan sinyal listrik dibeberapa bagian kepala sehingga dapat meningkatkan jenis aktifitas tubuh yang dapat diidentifikasi. Luaran EEG merupakan hasil pembacaan listrik yang dikonversi kedalam nilai ADC, sehingga masih membutuhkan pemrosesan selanjutnya agar dapat digunakan untuk mendeteksi gerakan. Pada paper ini digunakan metode K-Nearest Neighbour dengan dua teknik pemrosesan data untuk memproses data yang dihasilkan oleh elektroda untuk mendeteksi berkedip atau tidak. Hasil yang diperoleh menunjukan KNN #2 memiliki performa yang lebih baik dibandingkan metode KNN #1 baik dalam akurasi maupun kecepatan.

Optimal Power Flow using An Optimally Tuned Pattern Search Algorithm Budiman, Firmansyah Nur; Hidayat, Taufal; Uswarman, Rudi
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 8 No. 2 (2024)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v8i2.1290

Optimal power flow (OPF) is a critical optimization application in power system planning and operation. Numerous studies employ metaheuristic techniques to address OPF problems of varying complexity. However, these techniques often suffer from slow convergence due to their dependence on the quality of initial solutions. To overcome this limitation, initial solutions must be optimally tuned to achieve good outcomes with faster convergence. This paper proposes an optimally tuned pattern search (OPS) algorithm to solve OPF problems in medium and large power systems. The tuning process, performed using the classical interior point method (IPM), provides optimal initial control variable values for the standard pattern search (PS) algorithm. The proposed technique is applied to three test systems: IEEE 30-bus, IEEE 57-bus, and IEEE 118-bus systems. The OPF problem is formulated to minimize four objectives: total active power loss, total generator fuel cost, total generator emission, and total deviation in load bus voltage magnitude. The performance of the OPS algorithm is evaluated based on objective function values and computation times and is compared with IPM and two popular metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA). Results indicate that the OPS algorithm's performance varies across test systems but generally balances optimization performance with computational efficiency.

Title

Found 11 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 11 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 11 Documents
Search