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All Journal Mechatronics, Electrical Power, and Vehicular Technology Proceeding of the Electrical Engineering Computer Science and Informatics JTRM (Jurnal Teknologi dan Rekayasa Manufaktur)
Arief Syaichu Rohman
Institut Teknologi Bandung
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Designing optimal speed control with observer using integrated battery-electric vehicle (IBEV) model for energy efficiency Rina Ristiana; Arief Syaichu Rohman; Estiko Rijanto; Agus Purwadi; Egi Hidayat; Carmadi Machbub
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 9, No 2 (2018)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2018.v9.89-100

Abstract

This paper develops an optimal speed control using a linear quadratic integral (LQI) control standard with/without an observer in the system based on an integrated battery-electric vehicle (IBEV) model. The IBEV model includes the dynamics of the electric motor, longitudinal vehicle, inverter, and battery. The IBEV model has one state variable of indirectly measured and unobservable, but the system is detectable. The objectives of this study were: (a) to create a speed control that gets the exact solution for a system with one indirect measurement and unobservable state variable; and (b) to create a speed control that has the potential to make a more efficient energy system. A full state feedback LQI controller without an observer is used as a benchmark. Two output feedback LQI controllers are designed; including one controller uses an order-4 observer and the other uses an order-5 observer. The order-4 observer does not include the battery state of charge as an observer state whereas the order-5 observer is designed by making all the state variable as the observer state and using the battery state of charge as an additional system output. An electric passenger minibus for public transport with 1500 kg weight was used as the vehicle model. Simulations were performed when the vehicle moves in a flat surface with the increased speed from stationary to 60 km/h and moves according to standard NEDC driving profile. The simulation results showed that both the output feedback LQI controllers provided similar speed performance as compared to the full state feedback LQI controller. However, the output feedback LQI controller with the order-5 observer consumed less energy than with the order-4 observer, which is about 10% for NEDC driving profile and 12% for a flat surface. It can be concluded that the LQI controller with order-5 observer gives better energy efficiency than the LQI controller with order-4 observer
Line Detection Using Arranging Coordinate Point Method Rumaisa Ramadhani; Arief Syaichu Rohman; Yulyan Wahyu Hadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1975

Abstract

Line detection system is a system line that canrecognize the line mark painted on the road. This is one of thedigital driver assistance tools that improve driving safety. Thevideo streaming captured using a camera which is installed infront of the vehicle as the input system will detected the line byusing the Arranging Coordinate Point Algorithm. The systemwill provide the correction value of the vehicle distance from thecenter of the road and guide the driver to stay on the track.Based on the experiment result, the system could detect astraight and curved line. The line is well detected by the systemin good condition such as less of noise of the road, good weather,and clear lane line. The system has a computational process0.0625 fps with average error calculation of position from thecenter of the road is 0.0992 m and standard deviation is 0.62448m.
Pemodelan dan Desian Kendali Torsi Menggunakan Metode Sistem Identifikasi Untuk Meningkatkan Kenyamanan Penumpang Pada Trem Otonom Azarya Pramayudo; Arief Syaichu Rohman; Bambang Riyanto Trilaksono
JTRM (Jurnal Teknologi dan Rekayasa Manufaktur) Vol 8 No 1 (2026): Volume: 8 | Nomor: 1 | April 2026
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) Politeknik Manufaktur Bandung (Polman Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48182/jtrm.v8i1.197

Abstract

Trams are transportation vehicles that fall under the category of Light Rail Vehicles (LRV), operating in urban areas and connecting different regions within a large metropolitan environment. Tram tracks differ from conventional railways, as they typically consist of dedicated lanes located on or adjacent to roadways, often with specific barriers in place. This condition presents a new challenge, as autonomous trams must be able to adapt to this dynamic environment. This study aims to develop a control system that considers passenger comfort, particularly during braking or deceleration in specific situations and conditions. The System Identification method is chosen to analyze the system's real response to a given input, with the identification results used to design the controller. The identification results and control design were then tested using MATLAB to evaluate the performance of the designed control system in providing a comfortable deceleration experience for passengers. The design results indicate that the control system can regulate torque variations while maintaining acceleration and its rate of change within safe limits.
Co-Authors Agus Purwadi Azarya Pramayudo Bambang Riyanto Trilaksono Carmadi Machbub Egi Hidayat Estiko Rijanto Rina Ristiana Rumaisa Ramadhani Yulyan Wahyu Hadi