Dwi Lastomo, Dwi
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Optimization pitch angle controller of rocket system using improved differential evolution algorithm Lastomo, Dwi; Setiadi, Herlambang; Djalal, Muhammad Ruswandi
International Journal of Advances in Intelligent Informatics Vol 3, No 1 (2017): March 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v3i1.83

Abstract

Pitch angle of rocket system is the important parts of the rocket. This part corresponds to the movement of the rocket system. Rocket system is fell into multi-input and multi-output (MIMO) system. The most challenge factor in MIMO system is designing the controller, if the design is not appropriate, it may lead to the unstable condition. Hence, appropriate and robust control design is inevitable. This paper introduces PID controller as pitch angle control of rocket system. Furthermore, PID controller parameter is optimized using improved differential evolution algorithm (IDEA). To analyze the performance of rocket system, time domain simulation is implemented. From the simulation result, it is found by using PID controller based on IDEA, the performance of pitch angle of rocket system is enhanced.
Optimization of SMES and TCSC using particle swarm optimization for oscillation mitigation in a multi machines power system Lastomo, Dwi; Setiadi, Herlambang; Djalal, Muhammad Ruswandi
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 8, No 1 (2017)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (316.377 KB) | DOI: 10.14203/j.mev.2017.v8.11-21

Abstract

Due to the uncertainty of load demand, the stability of power system becomes more insecure. Small signal stability or low-frequency oscillation is one of stability issues which correspond to power transmission between interconnected power systems. To enhance the small signal stability, an additional controller such as energy storage and flexible AC transmission system (FACTS) devices become inevitable. This paper investigates the application of superconducting magnetic energy storage (SMES) and thyristor controlled series compensator (TCSC) to mitigate oscillation in a power system. To get the best parameter values of SMES and TCSC, particle swarm optimization (PSO) is used. The performance of the power system equipped with SMES and TCSC was analyzed through time domain simulations. Three machines (whose power ratings are 71.641, 163, and 85 MW) nine buses power system was used for simulation. From the simulation results, it is concluded that SMES and TCSC can mitigate oscillatory condition on the power system especially in lowering the maximum overshoot up to 0.005 pu in this case. It was also approved that PSO can be used to obtain the optimal parameter of SMES and TCSC.
Permodelan dan Simulasi MPPT-Bidirectional Menggunakan Fuzzy Mamdani pada Sistem Energi Pembangkit Terdistribusi Murdianto, Farid Dwi; Lastomo, Dwi; Soedibyo, Soedibyo; Penangsang, Ontoseno; Robandi, Imam
SENTIA 2015 Vol 7, No 1 (2015)
Publisher : SENTIA 2015

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Abstract

Sistem Photovoltaic (PV) banyak digunakan dalam berbagai aplikasi energy terbarukan. Masalah utama pada sistem PV adalah bagaimana cara memaksimalkan daya yang dihasilkan. Selain masalah tersebut kelebihan daya yang dihasilkan oleh PV pada suatu sistem distribusi juga perlu diperhatikan. Paper ini memanfaatkan kelebihan daya PV untuk penyimpanan energy  menggunakan Bidirectional  konverter. Setelah itu tegangan DC  yang dihasilkan oleh  PV  dan penyimpan energy  akan diubah menjadi tegangan  AC  menggunakan  inverter menujubeban.  Paper  ini mengusulkan metode Fuzzy  Mamdani  dalam pengoptimalan pencarian titik daya maximum menggunakan SEPIC converter dengan efisiensi maximal 99.9%.
PERAMALAN BEBAN JANGKA PENDEK HARI LIBUR NASIONAL DENGAN INTERVAL TYPE-2 FUZZY INFERENCE SYSTEM PADA SISTEM JAWA-BALI Nurohmah, Hidayatul; Ajiatmo, Dwi; Lastomo, Dwi; Robandi, Imam
SENTIA 2015 Vol 7, No 1 (2015)
Publisher : SENTIA 2015

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Abstract

Tenaga listrik adalah salah satu kebutuhan dasar manusia pada era modern ini. Besarnya konsumsi energi listrik pada waktu tertentu tidak dapat dihitung secara pasti. Persiapan unit pembangkit untuk mensuplai energi listrik kepada konsumen dipengaruhi oleh jumlah konsumsi energi listrik dan perkiraan energi listrik yang akan dipakai. Karena kondisi yang tidak tentu, maka karakteristrik beban listrik pada saat hari libur berbeda dengan hari biasa. Karaktersitik beban jangka pendek yang nonliniear serta probabilistik yang tidak pasti merupakan tantangan bagi peneliti untuk memperoleh solusi yang terbaik. Kecerdasan buatan merupakan solusi yang tepat untuk forkasting beban. Pada paper ini diterapkan metode Fuzzy Type-1 dan Fuzzy Type-2 untuk memperkirakan beban puncak jangka pendek untuk hari libur Nasional di Jawa-Bali, Indonesia.Fuzzy Type-2 secara umum ini memberikan hasil yang lebih baik dibandingkan dengan Fuzzy type-1 yaitu mempunyai kelebihan mudah memformulasikan pengalaman dan pengetahuan peramal dan sangat fleksibel dalam perubahan aturan peramalan. Metode yang digunakan pada peramalan beban jangka pendek pada paper ini adalah Fuzzy Type-2 Inference System. MAPE FT1IS 2,0642, MAPE FT2IS.2.0406
Design Controller of Pendulum System using Imperialist Competitive Algorithm Lastomo, Dwi; Setiadi, Herlambang; Djalal, Muhammad Ruswandi
INTEK: Jurnal Penelitian Vol 4, No 1 (2017): April 2017
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (898.23 KB) | DOI: 10.31963/intek.v4i1.94

Abstract

Due to development of technology in recent years, complexity and nonlinearity of mechanical and electrical system are increasing significantly. Inverted pendulum is nonlinear system that has become popular in recent years. However, inverted pendulum is nonlinear and unstable system. Therefore appropriate design controller of inverted pendulum system is crucial. Hence, this paper proposed, design of inverted pendulum system based on imperialist competitive algorithm (ICA). In order to design the controller, dynamic model of inverted pendulum system is used. Time domain simulation is used to address the controller performance. From the simulation result, it is found that imperialist competitive algorithm can be used to design inverted pendulum system controller.