Claim Missing Document
Check
Articles

Found 17 Documents
Search

METODE PENENTUAN RUGI-RUGI HISTERESIS PADA PENGATURAN MOTOR INDUKSI BERBASIS VECTOR CONTROL Novrian Eka Sandhi; Era Purwanto; Dedid Cahya Happyanto; Ridwan W.K.; Handri Toar
JURNAL INTEGRASI Vol 12 No 1 (2020): Jurnal Integrasi - April 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1171.186 KB) | DOI: 10.30871/ji.v12i1.1299

Abstract

Compared to direct current (DC) motors, the three-phase induction motors have several advantages such as: big torque, low maintenance cost, and rugged. For those reasons, induction motors are dependable as the prime mover in industrial and transportation sectors. In order to increase the performance of induction motors, a vector control based driving method had been deleveloped to operate the induction motors in various level of speed. Some manufacturers begin to use induction motors as the mover of 2 or 4-wheeled electric vehicles in city/urban transportation. Due to restricted capacity of battery as the power source, many researches on vector control are now focussed on advancing the driving scheme which in turn increasing mileage and lifetime of induction motors. One factor which supports that purpose is the evaluation of losses occurred during induction motor operation. During low speed operation, hysteresis loss as a consequence of stator core magnetization phenomenon takes a major part of overall losses. This research proposed a simple and applicable design of hysteresis loss determination on induction motor controlled by vector control scheme. The simulation using particular induction motor as a sample found that the iron loss PFE ranged between 2,55 x 10-8 to 1,09 x 103 Watt, the hysteresis loss Ph ranged between 2,07 x 10-8 to 5,15 x 102 Watt, and the hysteresis loss to iron loss rate ranged between 47,09 % to 81,18 %.
PIEZOELECTRIC SEBAGAI ALTERNATIF CATU DAYA TAMBAHAN PADA MOBIL LISTRIK Ahmad Hendriawan; Dedid Cahya Happ yanto
INOVTEK POLBENG Vol 4, No 1 (2014): INOVTEK VOL.4 NO 1 - 2014
Publisher : POLITEKNIK NEGERI BENGKALIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.321 KB) | DOI: 10.35314/ip.v4i1.95

Abstract

Abstrak Pemanfaatan piezoelektrik sebagai generator merupakan suatu upaya mendapatkan energi listrik yang merujuk pada konsep harvesting energy yang hal ini merujuk pada pengembangan piezoelektrik sebagai generator yang mengubah getaran yang   dihasilkan mobil listrik menjadi energi listrik yang dapat digunakan pada piranti elektronik berdaya rendah (low power devices). Getaran merupakan salah satu bentuk energi mekanik yang paling sering dijumpai di mobil listrik. Banyak sumber energi getaran  yang tersedia dan dimanfaatkan  menjadi dasar pembuatan  catu daya mikro  dengan  menggunakan   piezoelektrik.  Dari  hasil  pengujian  menunjukkan   bahwa  ada  pengaruh  terhadap pemberian  besarnya  tahanan  beban  pada  piezoelektrik,  semakin  besar  tahanan  beban  maka  tegangannya  juga semakin besar dan tahanan dibawah 20 KΩ tidak ada arus yang mengalir. Piezoelektrik memiliki daya output yang kecil  akan  tetapi  dengan  nilai  impedansi  internal  yang  tinggi.  Oleh  karena  penggunaan  piezoelektrik  sebagai generator memungkinkan untuk digunakan dalam teknologi pada bagian mobil listrik yang membutuhkan daya kecil. Kata kunci : piezoelektrik, energ y harvesting, low power devices,getaran
Chattering reduction effect on power efficiency of ifoc based induction motor Dedid Cahya Happyanto; Angga Wahyu Aditya
JURNAL INFOTEL Vol 14 No 2 (2022): May 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i2.753

Abstract

Nowadays, the strategies to control Induction Motor (IM) is growing fast. The vector control strategies give better performance than the scalar control to control IM. IFOC is one of the vector control strategies which more realistic to apply in industry, military, and transportation. However, IFOC requires Sliding Mode Control (SMC) with the Lyapunov function to ensure robustness and stability. The first-order SMC or ordinary SMC uses boundary layers technique such as the saturation function and the tangent-hyperbolic function to overcome the chattering phenomenon. The performance of boundary layer is analyzed in rotor speed response, stator current response in dq0 frame and power performance. In rotor speed response, the SMC with and without boundary layer has error steady-state less than 2%. In stator current response with dq0 frame, the boundary layer with tangent-hyperbolic function has the best performance. The power analysis shows that the boundary layer with saturation function has an active power loss of 39.16%, reactive power loss of 23.37% and apparent power loss of 30.30%. The boundary layer with tangent-hyperbolic functions has the best performance in reducing power consumption with active power loss of 41.24%, reactive power loss of 24.78% and apparent power loss of 31.96%.
Early Warning Safety System Development for Electric Vehicle Batteries to Prevent Fires and Accidents: Implementation in Urban Public Transportation Happyanto, Dedid Cahya; Anita, Jelia; Hendriawan, Akhmad
JURNAL INFOTEL Vol 17 No 4 (2025): November
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i4.1383

Abstract

The increasing adoption of electric vehicles (EVs) in urban public transportation has raised significant safety concerns, particularly regarding thermal runaway incidents that may lead to catastrophic fires. Existing battery monitoring systems often provide inadequate warning times and lack predictive capabilities to mitigate failures before they reach critical conditions. This study proposes an intelligent early warning system for EV battery safety in public transportation fleets by employing predictive analytics. The system integrates a distributed Internet of Things (IoT) sensor network that monitors temperature, voltage, current, and gas emissions, combined with machine learning algorithms—specifically, Random Forest and Support Vector Machine—to analyze battery performance patterns. The proposed architecture incorporates edge computing for real-time data processing and cloud infrastructure for centralised fleet monitoring. Field validation involving 50 electric buses operating under Jakarta's TransJakarta network over a twelve-month period achieved a prediction accuracy of 94.7% for thermal runaway events, with an average warning time of 8.3 minutes. The system successfully prevented 23 potential battery failures while maintaining a false alarm rate below 2.1%. An economic analysis further indicated a favourable cost-benefit ratio of 1:7.4. The proposed solution demonstrates significant potential in enhancing EV battery safety through predictive analytics and automated emergency response, offering a scalable model for broader industry adoption.
Fast Response Three Phase Induction Motor Using Indirect Field Oriented Control (IFOC) Based On Fuzzy-Backstepping Fauzi, Rizana; Happyanto, Dedid Cahya; Sulistijono, Indra Adji
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (540.017 KB) | DOI: 10.24003/emitter.v3i1.36

Abstract

Induction Motor in Electrical drive system at a accelleration speed for example in electric cars have a hard speed setting is set on a wide range, causing an inconvenience for motorists and a fast response is required any change of speed. It is necessary for good system performance in control motor speed and torque at low speed or fast speed response, which is operated by Indirect Field Oriented Control (IFOC). Speed control on IFOC methods should be better to improving the performance of rapid response in the induction motor. In this paper presented a method of incorporation of Fuzzy Logic Controller and Backstepping (Fuzzy-Backstepping) to improve the dynamically response speed and torque in Induction Motor on electric car, so we get smoothness at any speed change and braking as well as maximum torque of induction motor. Test results showed that Fuzzy-Backstepping can increase the response to changes speed in electric car. System testing is done with variations of the reference point setting speed control system, the simulation results of the research showed that the IFOC method is not perfect in terms of induction motor speed regulation if it’s not use speed control. Fuzzy-Backstepping control is needed which can improve the response of output, so that the induction motor has a good performance, small oscillations when start working up to speed reference.Keywords: Fuzzy-Backstepping, IFOC, induction motor
LOVETT Scaling with Flex Sensor and MYO Armband for Monitoring Finger Muscles Therapy of Post-Stroke People Alfian Hidayat, Achmad; Arief, Zainal; Happyanto, Dedid Cahya
EMITTER International Journal of Engineering Technology Vol 3 No 2 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.317 KB) | DOI: 10.24003/emitter.v3i2.45

Abstract

LOVETT scale is a common parameter used by the doctor or therapist to determine the muscle strength of the patient’s hands, especially patients with post-stroke. As a result of previous work of our group, a sensory glove for monitoring finger muscle therapy for post-stroke people with the name of Electronic Therapy Gloves (ETG) was proposed. With the flex sensor that embedded to the gloves we can measure the LOVETT scale of the post-stroke people. This sensory glove can help the patient doing their rehabilitation fast so that they don’t have to go to the hospital every week to check up their progress. In this work, we combine the data of sensory glove and the MYO armband for LOVETT scaling that has never been done before. The output of the Electronic Therapy Gloves can be optimized by 25%. All the LOVETT grade can be identify by the gloves, then it can help the doctor monitor the patient’s rehabilitation just by looking the patient’s record data with ETG.Keyword: LOVETT scale, flex sensor, MYO armband, post-stroke, rehabilitation.
Application of Sliding Mode Control in Indirect Field Oriented Control (IFOC) for Model Based Controller Aaditya, Angga Wahyu; Happyanto, Dedid Cahya; Sumantri, Bambang
EMITTER International Journal of Engineering Technology Vol 5 No 2 (2017)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (746.275 KB) | DOI: 10.24003/emitter.v5i2.193

Abstract

Indirect Field Oriented Control (IFOC) is one of the vector control methods that can be applied to induction motor in the industrial world rather than Direct Field Oriented Control (DFOC) because of the flux is obtained from the formulation. However, IFOC can not guarantee the robustness and stability of the systems. Stability analysis such as Lyapunov Stability Theory can be used to make the system stable but not the robustness. Model based controller that can guarantee the stability and robustness such as sliding mode control (SMC) and fuzzy needs to be added in IFOC system to achieve proportional response system. Robust current regulator using sliding mode control was designed in this paper from state space model for model based controller. In transient response and under disturbance SMC shows better performance than PID in rising time and robustness at rotor speed and stator current.