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Sintesis Kendali PID Digital dengan Diskritisasi Langsung dan Backward Difference FENI ISDARYANI; MOHAMAD FADHILAH VIERI HESYA; FERIYONIKA FERIYONIKA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 2 (2021): ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektro
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i2.467

Abstract

ABSTRAKKendali PID analog, yang realisasinya menggunakan komponen elektronika, memiliki keterbatasan yaitu nilai toleransi yang terbatas. Saat ini spesifikasi kontroler dituntut untuk dapat berkomunikasi dengan sistem yang lebih besar seperti SCADA dan DCS sehingga lebih cocok menggunakan pengendali digital. Penelitian ini menganalisis metode konversi PID analog ke digital agar dihasilkan difference equation yang dapat direalisasikan ke dalam pemrograman komputer. Metode yang dipakai adalah diskritisasi langsung dan Backward Difference. Perbandingan kedua metode dilakukan dengan menganalisis respons berdasarkan initial paramater yang dihasilkan oleh metode Ziegler Nichols. Hasil pengujian menunjukkan kendali PID diskrit menggunakan Backward Difference menghasilkan respons sistem yang lebih baik dibandingkan metode diskritisasi langsung dengan nilai Kp, Ti, dan Td adalah 50, 80 dan 0,001 menghasilkan respons dengan nilai rise time, settling time dan overshoot berturut-turut sebesar 33,66s, 90,39s dan 0,9%.Kata kunci: PID diskrit, diskritisasi langsung, Backward Difference, Ziegler Nichols ABSTRACTThe analog PID control, where its parameters are realised using the electronic component, has disadvantages due to the limitation of its tolerance value. Currently, the specifications of controller are required to be able to communicate with larger systems such as SCADA and DCS, therefore digital controller is more appropriate to use. This study analyzes the analog to digital PID conversion method to generate a difference equation that can be realized in computer programming. The direct discretization and Backward Difference method are used. Comparison of both methods is by analyzing response based on initial parameters obtained of Ziegler Nichols method. The results show that discrete PID control using the Backward Difference indicates a better response than using the direct discretization method with Kp, Ti, and Td values are 50, 80, and 0,001, respectively. Those parameters generate response with rise time, settling time, and overshoot values of 33,66s, 90,39s, and 0,9%, respectively.Keywords: discrete PID, direct discretization, Backward Difference, ZieglerNichols
Kendali PI-D dan Kontrol Fuzzy pada Plant Level Air Terdistribusi ROBINSAR PARLINDUNGAN; SUYANTO SUYANTO; FENI ISDARYANI; RANGGA VEGA SANTOSO
Jurnal Elkomika Vol 10, No 2 (2022): ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektr
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i2.350

Abstract

ABSTRAKPenelitian ini bertujuan menginvestigasi algoritma kendali pada plant level air yang terdistribusi pada dua tangki. Terdapat dua metode yang digunakan yakni kendali PI-D yang ditempatkan pada masing-masing unit pengendali lokal (LCU) dan kendali Fuzzy sebagai unit pengendali utama (MCU) dimana performa sistem dapat di-monitoring pada Human Machine Interface (HMI). Kendali PI-D (tipe B) dipilih untuk mengantisipasi persoalan setpoint kick yang sering muncul ketika digunakan kendali PID konvensional. Hasil penelitian menunjukkan respons kendali PI-D dapat mengatasi setpoint kick ditandai dengan perubahan smooth ketika setpoint berubah. Respons kendali PI-D pada HMI menunjukkan hasil yang baik direpresentasikan melalui error steady state dapat bernilai 0, overshoot 0% dan settling time 0,01 detik. Disamping itu, kontrol Fuzzy yang digunakan pada MCU dapat menghasilkan nilai setpoint (SV) yang tepat untuk masing-masing LCU, sehingga diperoleh respons kendali di atas.Kata kunci: LCU, MCU, PI-D, Level Air, Logika Fuzzy ABSTRACTThis study aims to investigate the control algorithm on the plant water level distributed in two tanks. There are two methods used, namely PI-D control placed on each local control units (LCU) and Fuzzy control as the Main Control Unit (MCU) and synchronization for Human Machine Interface (HMI) and monitoring. The PID control (type-B) was chosen to anticipate the setpoint kick problem that often arises when conventional PID controls are used. The results showed that the PI-D control response was able to overcome the setpoint kick which represented by smooth acting of actuator response . Response of the PI-D control on the HMI shows a good response by a steady state error of 0, an overshoot of 0%, and a settling time of 0.01 seconds. Besides that, Fuzzy logic used in the MCU can produce the right setpoint (SV) value for each LCU, so that the control response above is obtained.Keywords: LCU, MCU, PI-D, Water Level, Fuzzy Logic
Sistem Pengenalan Penggunaan Masker dan Pemantauan Suhu Penumpang Pesawat Menggunakan Sensor Fusion Feni Isdaryani; Noor Cholis Basjaruddin; Aldi Lugina
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 2: Mei 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1503.82 KB) | DOI: 10.22146/jnteti.v11i2.3835

Abstract

Transportation is currently an unavoidable necessity. However, the COVID-19 pandemic has impacted all lines of industry, including the Indonesian aviation transportation industry. Technology is one of the solutions to deal with these problems. The monitoring system of masked face recognition and body temperature detection for the check-in process of passengers at the airport is aimed to be developed in this research. The contribution of this research is that the system can distinguish the type of face mask used. Therefore, this monitoring system classified only medical masks and N95/KN95 respirator masks as ‘Good Masked’. IP camera and thermal camera are used to identify a masked face and body temperature, respectively. The sensor fusion method was used for decision-making on passengers whether they can be departed or not. The decision was taken based on the measured body temperature, the use of standardized face masks, and the face recognition of the airport passengers. Convolutional neural network (CNN) method was used for face and face mask recognition. The CNN model training was conducted four times according to the four proposed scenarios. The CNN model that has been trained can distinguish a masked face and a face without a mask. The best results were obtained in the fourth scenario with the comparison of the training dataset to the testing dataset was 9:1 and the epoch was 500 times. The basic deep learning model used for face detection was the single shot multibox detector (SSD) using the ResNet-10 architecture. Meanwhile, the CNN method with the MobileNetV2 architecture was used to detect the use of masks. The accuracy of the CNN model for face recognition and mask recognition was 100%. All check-in monitoring and verification process data were displayed on the web application which was built on the localhost.
Implementasi Sistem Kendali ON-OFF pada Field Programmable Gate Array (FPGA) Yohanes B. Gunawan Sugiarta; Feni Isdaryani; Dianthika Puteri Andini; Rina Hikmawati
JTERA (Jurnal Teknologi Rekayasa) Vol 7, No 1: June 2022
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v7.i1.2022.31-38

Abstract

Field Programmable Gate Array (FPGA) adalah komponen semikonduktor yang didasarkan pada matriks blok logika yang dapat dikonfigurasi oleh pemakainya dan terhubung melalui interkoneksi yang programmable. FPGA dapat diprogram sesuai dengan aplikasi atau fungsi yang diperlukan oleh pengguna. Untuk menunjang ilmu pengetahuan di bidang teknik elektronika, maka perlu adanya media pembelajaran mengenai dasar pengunaan dan penerapan FPGA. Oleh karena itu, pada penelitian ini dibuatlah modul simulator kendali ON-OFF menggunakan FPGA. Terdapat dua pendekatan yang digunakan dalam membangun kendali ON-OFF, yaitu ON-OFF murni dan ON-OFF menggunakan waktu tunda, dimana waktu tunda ini didefinisikan menggunakan logika counter. Seluruh perancangan algoritma pengendali menggunakan deskripsi VHSIC Hardware Description Language (VHDL). Hasil implementasi menunjukkan bahwa respon dapat sesuai dengan kondisi yang diinginkan. Untuk kondisi ON-OFF dengan logika counter, motor DC dapat ON selama 5 detik selanjutnya OFF secara otomatis sesuai dengan behaviour yang diinginkan.
Flight Controller Design for Altitude Control of a Quadcopter using PID and Fuzzy Methods Feni Isdaryani; Muhammad Nauval Shidiq; Yoshiadi Wicaksono; Noor Cholis Basjaruddin
JTERA (Jurnal Teknologi Rekayasa) Vol 7, No 2: December 2022
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v7.i2.2022.251-258

Abstract

A quadcopter can be manually controlled or can be autonomous. Therefore, a control system is needed to support the quadcopter's movement. PID and fuzzy control are used in this research to adjust the quadcopter's altitude position. The control system proposed in this research is to keep the quadcopter at a certain altitude. The control system design uses a PID controller, where the control parameters are obtained using the Ziegler-Nichols 2 tuning method. Ziegler-Nichols 2 tuning method is used to obtain the parameters Kp, Ti, and Td. PID control tuning becomes a reference for fuzzy control design in determining input and output membership functions and the rules. Also, in this study, the flight controller board design is proposed. The experiment results show that the PID control has a faster rise time of 0.2 seconds, a better maximum overshoot of 1.56%, a quicker settling time of 1.69 seconds, and a steady-state error of 0% compared to the fuzzy control. The result shows that the use of PID control is more suitable for proposed quadcopter plants because it requires a fast output response. 
Visual Servoing pada Ball-on-Plate dengan Kendali PID dan Filter Kalman Martin Martin; Deni Ramdani; Yana Sudarsa; Feni Isdaryani
JTERA (Jurnal Teknologi Rekayasa) Vol 7, No 2: December 2022
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v7.i2.2022.295-300

Abstract

Ball-on-plate merupakan sebuah sistem yang dapat menyeimbangkan sebuah bola di atas papan datar pada titik tertentu. Sistem ini merupakan bagian dari ilmu visual servo control yang menggunakan sensor kamera sebagai umpan balik sistem. Penelitian ini bertujuan menggunakan kendali PID untuk menyeimbangkan bola di atas papan dan sensor kamera dengan filter Kalman untuk mendeteksi objek. Proses membaca gerakan bola menggunakan algoritma pendeteksi objek berdasarkan filter Kalman, kemudian pendeteksian objek menghasilkan koordinat kartesian X dan Y. Koordinat tersebut merupakan umpan balik sistem pada kendali ball-on-plate. Sistem ini memiliki masukan berupa koordinat X dan Y, masukan tersebut akan dibandingkan dengan umpan balik sehingga didapatkan error posisi bola. Kendali PID mendapatkan masukan berupa nilai error posisi, kemudian akan menghasilkan nilai PWM untuk menggerakan servo sumbu X dan sumbu Y. Seluruh proses pendeteksian dan pengendalian dilakukan dengan embedded system menggunakan minicomputer. Hasil penelitian menunjukkan filter Kalman dapat bekerja dengan baik dengan parameter Q_frame sebesar 0,001, Q_rate sebesar 0,003, dan R sebesar 0,001. Sistem kendali PID dapat mengendalikan posisi bola dengan membutuhkan waktu 21,31 detik untuk mencapai setpoint.
SmartAgro-Spectral: Teknik Pengukuran Kandungan Nitrit Pada Sarang Burung Walet Berbasis Spektral Menggunakan Metode Regresi Linier Rida Hudaya; Hepi Ludiyati; Feni Isdaryani; Muhamad Rafhi Rihadatus Syawal; Julian Harith Al Banny Hudaya
Journal of Applied Computer Science and Technology Vol 4 No 2 (2023): Desember 2023
Publisher : Indonesian Society of Applied Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52158/jacost.v4i2.544

Abstract

Indonesia is the largest exporter of edible bird’s nest (EBN) to China, involving many EBN farmers from various regions in Indonesia. Therefore, a portable device is needed to rapidly and accurately measure the required quality of SBW to avoid rejection by Chinese buyers, which could result in significant losses. Consequently, for this purpose, an electronic instrument has been developed. smartAgro-Spectral is a microcontroller-based electronic instrument that measures nitrite content in edible bird’s nest (EBN) using linear regression method in machine learning calculations. This instrument can measure nitrite content based on the intensity of colors produced by EBN products. The coloring process is carried out by mixing EBW powder with Sulphanilamide solution and N-(1-naphthyl) Ethylenediamine Dihydrochloride (NED) solution. The concentration of EBN solution is normalized to values between 0.2 ppm and 0.7 ppm. The measurement process is carried out by emitting 18 waves of the light spectrum. The intensity of the 18 wavelengths of the measured light spectrum was selected based on the strong correlation between the intensity of the light spectrum and the value of nitrite content in the EBN product. The measurement results show that the intensity of the light spectrum that has a strong linear correlation is at wavelengths of 460 nm, 485 nm, 510 nm, 535 nm, and 610 nm. So, smartAgro-Spectral electronic instruments can be realized based on the intensity relationship of each wavelength through multiple linear regression analysis, and are able to linearly measure nitrite content in EBW products with a precision level of 99.85% and an accuracy rate of 99.85%.