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Mochammad Rusli, Mochammad
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Automotive Engineering Control & Systems Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

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Optimasi Kontrol untuk Variabel Flow Rate dan Temperatur Furnace Berbasis Solusi Persamaan Riccati Rusli, Mochammad; Nurwati, Tri; Tarigan, Faldano Bastian
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 15 No. 3 (2021)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v15i3.1552

Abstract

Dalam pengoperasian furnace, uap yang dihasilkan furnace harus dijaga pada suhu 370-375oC dan tidak boleh melebihi 375oC untuk mencegah terjadinya cracking pada waste oil. Salah satu sistem kontrol yang dapat digunakan untuk mengontrol suhu furnace adalah sistem kontrol optimal dengan metode LQR (Linear Quadratic Regulator). Penerapan LQR ini mampu mempercepat waktu keadaan mantap pada sistem. Performansi sistem telah memenuhi syarat keoptimalan sebuah sistem dan output flow rate dan suhu telah memenuhi keinginan yaitu, nilai Steady state flow rate sebesar 349.9 g/s atau 97.194 kg/jam, nilai tr flow rate sebesar1.4 detik, nilai ts flow rate sebesar 11 detik, dan nilai Mp flow rate sebesar 0.021%. Kemudian nilai Steady state suhu sebesar 370.9oC, nilai tr suhu sebesar 8 detik, nilai ts suhu 20.5 detik, nilai Mp suhu 0%, dan nilai Ess suhu sebesar 0.9861%.
Design Interleaved Full Bridge Circuit DC-DC Converter With Fuel Cell Power Source On Hybrid Trains Miftaks, Taufik Iqbal; Muslim, Muhammad Azis; Rusli, Mochammad
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 18 No. 1 (2024)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v18i1.1693

Abstract

Nowadays, electric trains are experiencing a transition from diesel fuel to renewable energy. Hybrid electric trains can prove progress from renewable energy, even though they require more than one energy source such as fuel cells and batteries, because renewable energy cannot stand alone. This results in an increase in voltage on the Fuel Cell (FC) which can have an impact on current density and a decrease in voltage, thus requiring a protected DC-DC Converter type circuit to obtain ideal and dynamic condition characteristics. To overcome this problem, the IFBC (Interleaved Full Bridge Circuit) DC-DC Converter is highly recommended as a voltage regulator. There are several methods used to regulate MOSFET’s which in this case affect the IFBC DC DC Converter settings, one of which is the SMC (Sliding Mode Control) method. SMC is a type of non-linear control that functions functionally to control variable structures. However, the application of SMC requires a considerable switching frequency, which has the potential to cause component loss, therefore the switching frequency needs to be limited to that range. To overcome this problem, a method is needed to identify the IFBC output voltage control process using the SMC method in Fuel Cell applications and the software which is considered the most efficient in carrying out this, namely SIMULINK MATLAB software.
Stabilization of a cart inverted pendulum system using LQR, Partial Feedback Linearization and LQG control Fitria, Nur; Rusli, Mochammad; Yudaningtyas, Erni
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 19 No. 2 (2025)
Publisher : Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jeeccis.v19i2.1760

Abstract

Controlling of a cart inverted pendulum often becomes learning material for a control system. Several researchers have carried out about stabilization of inverted pendulum using numerous methodologies. However, the stabilization of the pendulum has just been conducted in the inverted area. The aim of this research was designing a control system to raise the pendulum from the lower area to the inverted area using Linear Quadratic Regulator (LQR) and Partial Feedback Linearization control in the Simulink MATLAB. Furthermore, the design was given a noise so that Linear Quadratic Gaussian (LQG) control was needed to make this system more robust. The model of cart pendulum with LQR control alone was unable to raise the pendulum from 0 degree to reach the angle at 180 degrees in an inverted area although the gain K and the voltage of DC motor were increased. For this reason, the Partial Feedback Linearization method was added to raise the pendulum by controlling the energy and slide mode on the cart. The strengthening of the system with the LQG design was carried out to reduce the noise signal that occurs in the DC Motor and sensor. The design was implemented in the simulation using Simulink MATLAB. It shows that the design of LQR and Partial Feedback Linearization control can make the pendulum stable at 180 degrees in 5.2 seconds and the cart is stable at 0 cm in 4.5 seconds. Whereas, the design of LQG control can reduce the noise well in the system.
A fuzzy-PID based control approach for precision volume filling in nitroglycerin production Yaqin, Sa’id A’inul; Rusli, Mochammad; Siswojo, Bambang
Jurnal Polimesin Vol 23, No 4 (2025): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i4.7346

Abstract

The production of nitroglycerin demands highly accurate liquid volume filling, as any deviation can significantly impact both product quality and safety. Peristaltic pumps are employed in this process due to their ability to deliver fluids with precision; however, maintaining volume accuracy amidst process variability remains a major challenge. This study aims to enhance volume-filling accuracy, improve system response, and increase energy efficiency in the nitroglycerin production process by implementing a Fuzzy-PID control system. The Fuzzy-PID method is applied to address uncertainties and dynamic variations inherent in peristaltic pump operations. The system's performance is evaluated in terms of accuracy, response characteristics, and energy consumption. Experimental results demonstrate that the use of Fuzzy-PID control achieves a volume-filling accuracy of up to 98%. This improvement contributes significantly to the efficiency and safety of nitroglycerin production, ensuring higher product quality and operational reliability.
Co-Authors Erni Yudaningtyas Miftaks, Taufik Iqbal Muslim, Muhammad Azis Nur Fitria, Nur Siswojo, Bambang Tarigan, Faldano Bastian Tri Nurwati Yaqin, Sa’id A’inul