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IMPLEMENTASI KONTROLER PID PADA MOTOR DC RS-775 MESIN PENGUPAS DAN PENGIRIS BAWANG MERAH OTOMATIS DENGAN METODE ZIEGLER-NICHOLS TIPE 1 Albahagia Dewi Permatasari; Bambang Siswojo; Tri Nurwati
Jurnal Mahasiswa TEUB Vol 9, No 3 (2021)
Publisher : Jurnal Mahasiswa TEUB

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ABSTRAK Bawang merah mentah perlu diolah melalui beberapa tahapan sehingga dapat menjadi olahan yang dinikmati oleh masyarakat. Olahan makanan tersebut dapat berupa penyedap pokok yakni bawang goreng. Salah satu proses utama untuk menghasilkan bawang goreng itu sendiri adalah dengan melalui proses pengupasan bawang merah mentah. Proses inilah yang perlu dikendalikan guna menghasilkan kupasan bawang merah bersih sesuai yang diinginkan dengan kuantitas yang besar sehingga lebih efektif. Motor DC (Dirrect Current) adalah plant yang paling sering digunakan dalam dunia industri terutama kontrol. Pada umumnya respon dari Motor DC adalah cepat dan memiliki error yang besar. Salah satu cara merancang adalah dengan menggunakan kendali PID (Proportional Integral Derivative). Dalam merancang kendali PID, dibutuhkan parameter-parameter seperti Kp, Ki, dan Kd. Parameter-parameter tersebut dapat diperoleh dengan penalaan Ziegler-Nichols tipe 1. Untuk mengetahui hasilnya, hasil desain diimplementasikan dengan menggunakan Matlab dan Arduino Uno. Metode Ziegler-Nichols tipe 1 merupakan metode yang sederhana (simple) untuk kendali kontrol kecepatan motor. Metode ini tidak menekankan penurunan model matematik plant, sehingga perhitungan tidak terlalu kompleks. Penelitian ini membahas tentang kontrol kecepatan motor DC RS-775 pada alat pengupas bawang merah otomatis menggunakan kontroler PID dengan penalaan Ziegler Nichols Tipe 1. Kata Kunci: Kontrol Kecepatan Motor, Kontrol PID, Ziegler-Nichols, Motor DC RS-775 ABSTRACT Raw shallots need to be processed through several steps, so they can be processed and enjoyed by people. Processed food can be in the form of a staple flavoring, namely fried onions. One of the main processes to produce fried onions itself is by peeling raw shallots. In this process, needs to be controlled in order to produce clean shallots peels as desired in large quantities so that they are more effective. DC motor (direct current) is a plant that is most often used in the industrial world, especially control. In general, the response of a DC motor is fast and has large errors. One way to design is to use PID (Proportional Integral Derivative) control. In designing the PID control, parameters such as Kp, Ki, and Kd are needed. These parameters can be obtained by Ziegler-Nichols type 1 tuning. To find out the results, the design results are implemented using Matlab and Arduino Uno. The Ziegler-Nichols type 1 method is a simple method for controlling motor speed control. This method does not emphasize the derivation of the plant mathematical model, so the calculation is not too complex. This study discusses the speed control of the RS-775 DC motor in an automatic shallot peeler using a PID controller with Ziegler-Nichols Type 1 tuning. Keywords: Motor Speed Control, PID Control, Ziegler-Nichols, RS-775 DC Motor

IMPLEMENTASI KONTROLER FUZZY PADA MOTOR DC RS-775 SEBAGAI MESIN PENGUPAS BAWANG DENGAN METODE SUGENO Salman Farisi; Bambang Siswojo; Tri Nurwati
Jurnal Mahasiswa TEUB Vol 9, No 3 (2021)
Publisher : Jurnal Mahasiswa TEUB

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AbstrakBidang kontrol adalah hal yang vital dalam sektor industri di dunia saat ini, khususnya dalam industri makanan. Motor DC (Direct Current) adalah plant yang paling sering digunakan dalam perkembangan dunia teknologi kontrol. Pada umumnya Motor DC memiliki Respon yang sangat cepat namun masih memiliki nilai error yang cukup besar. Dengan adanya perkembangan teknologi berhasil dikembangkan salah satu controller seperti FLC (Fuzzy Logic Control) dapat dibangun sebuah controller yang sangat adaptif dalam perubahan input sistem. Logika Fuzzy adalah suatu cara yang tepat untuk memetakan suatu ruang input ke dalam ruang output. Dalam penelitian ini untuk membangun sebuah FLC (Fuzzy Logic Control) digunakan sebuah metode yaitu Sugeno.Kata kunci – motor DC RS-775, kontrol kecepatan, kontrol fuzzyAbstractIn this research, we made a system for controlling the speed of DC RS-775 as a motor in a shallot peeler and slicer machine by using Fuzzy logic controller. The goal of this research is designing the control system of DC RS-775 by using the fuzzy logic controller to able to reach the setpoint and able to resist the disturbances. This research uses the Fuzzy logic method to take a conclusion. This research with Sugeno method uses 2 inputs which are error and delta error. The errors and delta errors are represented by Negative Big (NB), Negative Small (NS), Zero (0), Positive Small (PS), Positive Big (PB). The output of this method is changing the variable of PWM on DC RS-775 which is represented by Negative Big (NB), Negative Small (NS), Zero (0), Positive Small (PS), Positive Big (PB). The result of this research is the natural response of DC RS-775 generates ts at 5.5s. The response of DC motor after controlled by fuzzy logic controller with setpoint variable of 5000 rpm, generates 1.9% error steady state and ts at 1.2s. On testing of changing variable input every 10s Fuzzy controller ables to control the speed of DC RS-775 to reach the setpoint. When it was tested with disturbances, DC RS-775 able to keep the steady state at 5000 rpm with 1.5% error steady state, ts at 1.4s, and variable of Mp 3.27%.Key Word: motor DC RS-775, speed control, Fuzzy logic controller.

Identifikasi Sistem Plant Kontrol Ketinggian Quadcopter Dengan Metode RLS Panji Peksi Branjangan; Bambang Siswojo; Muhammad Aziz Muslim
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 13 No. 2 (2019)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v13i2.584

Untuk mendapatkan model matematis suatu sistem adalah dengan menggunakan proses identifikasi. Dalam hal ini metode yang digunakan adalah menggunakan metode RLS (Recursive Least Square). Â Sistem kontrol quadcopter digunakan dalam identifikasi sistem RLS tersebut. Sinyal uji untuk identifikasi sistem berasal dari PRBS (Pseudo Random Binary Sequence) Â yang dibangkitkan dari mikrokontroler ATMega328P. Sedangkan plant yang dikontrol adalah quadcopter yang memiliki board IMU (Inertial Measurement Unit) dengan tipe KK Board 2.1. Hasil identifikasi sistem ini adalah berupa fungsi alih diskrit dengan validasi berupa whiteness test dan uncorrelation test. Parameter fungsi alih diskrit yang didapatkan pada identifikasi sistem ini yaitu denominator A1 = -1.2595, A2 = 0.4422, numerator B1 = 0.0134, B2 = -0.0098, pada time sampling 0.5s. Sedangkan hasil validasi sistem menggunakan whiteness test yaitu RN(0) = 0.1338 , RN(1) = 0.1247, RN(2) =Â 0.0122, RN(3) = 0.0495 dan Â |RN(i)|â‰¤ 0.13563 dimana batas validasi praktikalnya adalah sebesar |RN(i)|â‰¤ 0.15.

SISTEM KONTROL PH AIR PADA AKUAPONIK MENGGUNAKAN FUZZY LOGIC CONTROL METODE MAMDANI Rayhan Faiz Andhika; Bambang Siswojo; Erni Yudaningtyas
Jurnal Mahasiswa TEUB Vol. 10 No. 3 (2022)
Publisher : Jurnal Mahasiswa TEUB

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ABSTRAKMetode terbaru dalam bidang pertanian dengan menggabungkan bidang hidroponik dan akuakultur yaitu akuaponik. Akuaponik ini dibuat dengan sistem pengendalian otomatis dengan mengatur derajat keasaman (pH). Dengan mengambil irisan pH tanaman pakcoi dan pH Ikan Guppy, didapatkan optimal pH akuaponik pada 6.3 sampai dengan 7.2. Saat pH tidak sesuai dengan optimalnya maka akan memicu pompa pada larutan pH up atau larutan pH down. Untuk mengurangi kesalahan penambahan larutan – larutan tersebut pada akuaponik maka dikontrol menggunakan fuzzy logic control. Metode fuzzy logic yang digunakan adalah mamdani.ABSTRACTThe latest method in agriculture by combining the fields of hydroponics and aquaculture is aquaponics. This aquaponics is made with an automatic control system with standard settings (pH). By taking a cut of the pH of the pakcoi plant and the pH of the guppy fish, the optimal aquaponics pH was obtained at 6.3 to 7.2. When the pH is not at its optimal level, it will trigger the pump on the pH up solution or the pH down solution. To reduce the addition of these solutions

RANCANG BANGUN SISTEM KONTROL PEMOTONG PLAT BESI BERBASIS ARDUINO MEGA 2560 Jesse Sebastian; Bambang Siswojo; n/a Rahmadwati
Jurnal Mahasiswa TEUB Vol. 10 No. 4 (2022)
Publisher : Jurnal Mahasiswa TEUB

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The steel cutting process in the industry is carried out to be consistent as desired. Automation design using Plasma Cutting is one of the mechanisms used by the industry in connecting rods in steel building construction and machine construction, so that the selector is more efficient and reduces the error rate in the selection process. The Steel Cutting design is driven by 2 stepper motors on X axis and 1 stepper motor on Y axis, the welding speed can be adjusted and starts with a straight speed of up to 40cm. In this study, using a lead screw and a ball screw to change the translational motion of a stepper motor with a precision level of 5mm or the equivalent of 200 steps per rotation so that 1 step is 1.8˚, the TB6600 module and Arduino Mega 2560 as a controller are tested on a welding table. measuring 75 cm long x 70 cm wide x 40 cm high and the system design uses a Time Schedule Control type sequential method. Based on the results of experiments and the creation of a system to regulate translational motion, the average error is 1.02%. With a small error of 0.75%, it can be concluded that the tools in the system can be used. Keywords: Plasma Cutting,

DESAIN KONTROL KECEPATAN MOTOR BRUSHLESS DC MENGGUNAKAN METODE PID-FUZZY Lalu Iradat Aryadwinata; Bambang Siswojo; Lunde Ardhenta
Jurnal Mahasiswa TEUB Vol. 10 No. 5 (2022)
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The air distribution process is still using the manual method, namely by using human power to activate and deactivate the distribution pump and use the average demand graph as a reference. This results in irregular air distribution. Therefore we need a control system on the distribution of the pump that can work automatically to maintain air distribution according to the level of customer needs. One of the most important parts of a water pump is the drive in the form of an electric motor. One type of electric motor that can be used is a BLDC motor. The BLDC (Brushless Direct Current) motor is a development of the DC motor, where in the commutation process it uses electronic commutation so that there are no mechanical problems, and interactions. The use of a BLDC motor requires a control system to regulate its speed. One of the methods that can be used is using a PID controller. PID can improve motor response by producing a fast and smooth response and small overshoot, but the PID controller cannot be applied to non-linear loads, while BLDC motors have a multi-variable, non-linear system, and can easily be affected by parameter variations and disturbances. If this controller is still applied then the system response to stable conditions will be quite long and cause the motor to have poor performance. In this study, a controller was developed by combining PID controller with Fuzzy Logic Control. Fuzzy logic control produces additional parameters for each PID parameter controller. Variations of the FLC output make thecontroller implicitly adjustable. It is hoped that in this study, a response system will be obtained that has a high steady state level with a fast settling time.Keywords: BLDC Motor, PID Controller, Fuzzy Logic Control, Steady State

IMPLEMENTASI FUZZY LOGIC CONTROLLER PADA ALAT PENGONTROL PH AIR AKUARIUM AKUAPONIK MENGGUNAKAN VOLUME LARUTAN PH UP DAN PH DOWN DENGAN METODE MAMDANI I Dewa Gde Panji Adyatma; Bambang Siswojo; Eka Maulana
Jurnal Mahasiswa TEUB Vol. 11 No. 1 (2023)
Publisher : Jurnal Mahasiswa TEUB

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Aquaponics is a system of cultivating fish (aquaculture) and plants (hydroponics) together in a circulated/mutually beneficial ecosystem that uses natural bacteria to convert fish feed waste & residues into plant nutrients. Aquaponics aquaculture innovation is considered to play an important role in meeting the needs of fish and vegetables in the market. In addition to being economical, the potential of aquaponics cultivation can be a reserve for fish and vegetable needs in waters and rice fields. Water quality is a key parameter in aquaponics. To get optimal results, water conditions must be maintained, one of which is the pH of the water. The degree of acidity of the growing media and the sangan water affects the growth of fish and plants in aquaponics. If the pH level is too low or too high, it can interfere with the growth of fish and plants. The implementation of the fuzzy logic control method mamdani on controlling the pH of the water is a way to maintain the quality of the water in the aquarium, especially the pH so that the growth of fish and plants is optimal. Controlling the pH of water in aquaponics using the mamdani fuzzy logic method, by determining the membership function so that it can control the volume output of the pH up solution or pH down solution so that the pH of the water in aquaponics remains neutral. From the results of the study, the tool was able to control the pH of water in aquaponics in accordance with the desired membership function setpoint, namely 6.5 -7 with an average error of 0.14% regulating the output of the pH up and pH down solution volumes with the desired value. Keywords: Aquaponics, pH, Fuzzy logic Mamdani, pH up solution, pH down solution

PENERAPAN FUZZY LOGIC CONTROL DENGAN METODE SUGENO UNTUK PENGONTROLAN JUMLAH VOLUME KELUARAN MOTOR MINI WATER PUMP PADA ALAT PENGONTROL PH AIR AKUAPONIK Mohammad Reza Ar-Ridho; Bambang Siswojo; Eka Maulana
Jurnal Mahasiswa TEUB Vol. 11 No. 1 (2023)
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Water quality is one of the factors that must be considered so that the aquaponic system runs well. One of the important parameters in maintaining water quality is the degree of acidity (pH). Therefore, it is necessary to monitor and control the pH regularly. Control is carried out by adding a buffer solution to the aquaponic pond using a pump motor. Poor water pump performance can result in the incorrect addition of buffer solution according to the required calculation. Controlling the output volume of a mini water pump motor using the Sugeno fuzzy logic method aims to control the volume released according to predetermined calculations. From the research results, the system is able to control the pump output volume according to several predetermined setpoints, namely 25–350 mL with a maximum error steady state of 1% within 1.5–11.8 seconds by adjusting the speed of the pump motor according to the desired amount of solution.Keywords: pH, Fuzzy Logic Sugeno, mini water pump, setpoint

IMPLEMENTASI FUZZY LOGIC CONTROL UNTUK VOLUME LARUTAN pH UP DAN pH DOWN PADA AKUAPONIK DENGAN METODE SUGENO Muhammad Bismar Hamdan Effendi; Bambang Siswojo; Eka Maulana
Jurnal Mahasiswa TEUB Vol. 11 No. 1 (2023)
Publisher : Jurnal Mahasiswa TEUB

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Water quality is one of the main parameters in the aquaponic cultivation of tilapia and mustard greens. To produce tilapia and mustard greens that are healthy and fresh, the condition of the water in the aquaponics system must be maintained, one of which is the pH of the water. Tilapia and mustard greens require a pH range of 6 to 7, which is the optimal pH range for the growth of tilapia and mustard greens. Changes in the pH of aquaponic cultured water can adversely affect the lives of tilapia and green mustard, either directly or indirectly. Controlling the pH of water in aquaponic cultivation using the Sugeno fuzzy logic method involves determining the membership function so that it can control the administration of pH up (alkaline) and pH down (acidic) solutions. From the results of the study, the tool is able to control the pH of aquaponic aquaculture water according to the setpoint membership function that has been set, namely 6-7, and in several volumes of aquaponic cultivation ponds with a solution output of pH up and pH down according to the desired pH of aquaponic cultivation ponds with an error of 2.7%.Keywords: pH, Fuzzy Logic Sugeno, Membership Function, Volume, pH Up, pH Down

PERANCANGAN PARAMETER PI-DIGITAL DENGAN METODE MODULUS OPTIMUM PADA DIRECT TORQUE CONTROL MOTOR TRAKSI INDUKSI TIGA FASA Dewi Sukma S.Y; Moch. Rusli; Bambang Siswojo
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
Publisher : Jurnal Mahasiswa TEUB

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In accordance with technological developments, induction motor control is important in the industrial field. The desired control is to obtain a motor speed response that matches the setpoint. This study uses the specifications of a three-phase induction traction motor, one of which is used in fast trains. Rugged and simple motor construction, high efficiency, easy maintenance, and economy are advantages in the use of three-phase induction motors. The control vector method used is the DTC method with the SVM technique in Simulink Matlab software. This study uses a PI controller with the MO tuning method. The controller parameter values for the speed control loop are Kp = 458.3, Ti = 0.5, and Ki = 916.6. The controller parameter values in the torque control loop are Kp = 1.2, Ti = 0.5, and Ki = 2.4. The controller parameter values in the flux control loop are Kp = 74.9, Ti = 0.49, and Ki = 152.9. This study has simulated and analyzed the response of the PI-Digital controller circuit with the MO tuning method on the DTC three-phase induction traction motor under zero/no load conditions which produces an output response in accordance with specified design specifications, where the output speed is 158.5 rad/s with a settling time of 0.17 seconds and a steady state error of 0.9%. As well as under torque load conditions of 100 N.m, 200 N.m, and 300 N.m, the output generated with the settling time is longer with an additional time of 0.01 second. Keywords: three-phase induction traction motor, direct torque control (DTC), Space Vector Modulation (SVM), PI controller, Modulus Optimum (MO), simulink. DAFTAR PUSTAKA[1] N. Pimkumwong and M.-S. Wang, "Direct Torque Control of Three-Phase Induction Motor based on Constant Voltage per Frequency Control with Simple Controller," International Conference on Electrical Engineering/Electronics, Computer,Telecommunications and Information Technology, 2018.[2] N. Evalina, A. A. H and Zulfikar, "Pengaturan Kecepatan Putaran Motor Induksi 3 Fasa Menggunakan 8 Programmable logic controller," Journal of Electrical Technology, 2018. [3] M. Vítečková and A. Víteček, "Modulus optimum for digital controllers," Acta Montanistica Slovaca, 2003.[4] M. S. A. Sari, H. Suyono and A. Lomi, "Analisis Kendali Kecepatan Motor Induksi 3 Fasa dengan Metode Direct Torque Control (DTC) Berbasis PID Kontrol," ECOTIPE, pp. 70-77, 2020.[5] K. L. Shi, T. F. Chan, Y. K. Wong and S. L. Ho, "Modelling and Simulation of Direct Self-Control Systems," Int. J. Engng Ed., pp. 646-654, 2003.[6] T. Ramesh and A. K. Panda, "Direct Flux and Torque Control of Three Phase Induction Motor Drive Using PI and Fuzzy Logic Controllers for Speed Regulator and Low Torque Ripple," IEEE, 2012.[7] O. C. Sekhar, S. Lakhimsetty and A. H. Bhat, "A Comparative Experimental Analysis of Fractional Order PI Controller Based Direct Torque Control Scheme for Induction Motor Drive," Int Trans Electr Energ Syst., 2020.[8] M. Yusuf, V. Prasetia, S. D. Riyanto and A. A. Rafiq, "Desain Simulasi Sistem Pengaturan Kecepatan Motor Induksi Tiga Fasa dengan Switching Space Vector Pulse Width Modulation," ECOTIPE, pp. 24-31, 2019.[9] D. Rabie, Y. S. Mohamed and E. G. Shehata, "Voltage Source Converter Control and Stability Analysis of VSCHVDC System with High DC-Link Impedance," International Middle East Power Systems Conference (MEPCON), 2019.[10] A. A. Z. Diad, "Implementation of a novel full-order observer for speed sensorless vector control of induction motor drives," springer, 2017.[11] S. Enache, A. Campeanu, I. Vlad, R. Zlatian and M. A. Enache, "Dynamic Analysis of New Induction Motor for Electrical Traction," International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 2020.

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