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"Penggunaan BBM untuk kendaraan bermotor di Indonesia meningkat setiap tahunnya. Pada tahun 2010, jumlah subsidi BBM 88.89 triliun rupiah, dan pada tahun 2012 dapat mencapai 178.6 triliun rupiah. Mobil hibrida BBG-listrik merupakan alternatif yang mampu mengkombinasikan sistem penggerak motor bakar dan motor listrik dengan mengambil keuntungann dari tiap komponennya. Penelitian ini menunjukkan hasil rancang bangun untuk sebuah sistem traksi kendaraan hibrida BBG-Listrik berpengggerak roda belakang dan model MPV. Sistem traksi tersusun oleh motor BLDC dengan daya operasional 10 kW dengan transmisi timing belt dan pulley jenis HTD 8M. Performa sistem traksi pada saat mengalami pembebanan statis dan modal telah memenuhi standar kelayakan dengan nilai safety factor melebihi angka 3.975 dan defleksi terbesar pada saat menerima beban bergerak sebesar 0.13 mm.

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The use of fuel for motor vehicles in Indonesia is increasing every year. In 2010, the number of fuel subsidy is about 88.89 trillion rupiahs, and in 2012 to reach 178.6 trillion rupiah. CNG-electric hybrid car is an alternative propulsion system combines an electric motor and a combustion engine by taking benefits of each component. This study shows the results for a design of traction system for CNG-Electric hybrid vehicles which rear wheel driven and MPV models. Traction system composed of BLDC motor with 10 kW operating power with timing belt and pulley transmission type HTD 8M. Traction system performance while experiencing static loading and capital in compliance with the industry standards exceed the value of the safety factor is 3.975 and the largest deflection when the load moves received by 0,13 mm."

"Series-parallel conversion systems, in which multiple standardized converter modules are connected in series or parallel at the input and output sides, to meet the demands of various applications. This book focuses on the control strategies for the series-parallel conversion systems with DC-DC converters and DC-AC inverters as the basic modules, respectively, to achieve input voltage/current sharing and output voltage/current sharing among the constituent modules. The detailed theoretical analysis with design examples and experimental validations are presented. This book is essential and valuable reference for graduate students and academics majoring in power electronics and engineers engaged in developing DC-DC converters, DC-AC inverters and power electronics transformers."

"Turbin angin kecepetan variabel yang menggunakan generator sinkron magnet permanen (permanent magnet synchronous generator/PMSG) menawarkan efisiensi tinggi dalam konversi energi angin menjadi energi listrik. Namun, pada kondisi kecepatan angin di atas kecepatan nominal, dibutuhkan mekanisme pengendalian sudut pitch untuk menjaga kestabilan daya keluaran serta melindungi sistem dari kelebihan beban. Mekanisme pengendalian sudut pitch umumnya dilakukan menggunakan pengendali PI konvensional. Penelitian ini bertujuan untuk mengimplementasikan pengendali single-neuron PI sebagai solusi adaptif dalam mengatur sudut pitch turbin angin berbasis PMSG. Metode pengendalian ini menggabungkan struktur dasar pengendali PI dengan pembelajaran adaptif berbasis neuron tunggal, yang dapat menyesuaikan bobot pengendali secara real-time berdasarkan kesalahan daya keluaran. Simulasi dan model sistem konversi energi angin dilakukan menggunakan MATLAB/Simulink, mencakup model turbin angin, PMSG, sistem kendali pitch berbasis PI konvensional, dan sistem kendali pitch berbasis single-neuron PI. Hasil simulasi menunjukkan bahwa pengendali single-neuron PI mampu mempertahankan daya keluaran mendekati referensi dengan penyimpangan nilai yang sangat kecil dan stabil pada berbagai kondisi kecepatan angin yang lebih besar dari kecepatan angin nominal. Dibandingkan dengan pengendali PI konvensional, metode ini menawarkan keunggulan dalam hal adaptabilitas terhadap perubahan parameter sistem dan kecepatan angin yang dinamis.

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Variable-speed wind turbines with Permanent Magnet Synchronous Generator (PMSG) offer high efficiency in converting wind energy into electrical power. However, under wind conditions exceeding the rated speed, a pitch angle control mechanism is required to maintain output power stability and protect the system from overloading. Pitch angle control is commonly implemented using conventional PI controllers. This study aims to implement a single-neuron PI controller as an adaptive solution for regulating the pitch angle in a PMSG-based wind turbine system. The proposed control method combines the basic structure of a PI controller with adaptive learning based on a single neuron, enabling real-time adjustment of the controller weights based on output power error. The simulation and modeling of the wind energy conversion system are carried out using MATLAB/Simulink, including the modeling of wind turbine, PMSG, conventional PI-based pitch control, and single-neuron PI-based pitch control. Simulation results demonstrate that the single-neuron PI controller effectively maintains the output power close to the reference value, with minimal deviation and high stability across various wind speeds exceeding the rated condition. Compared to the conventional PI controller, this method offers superior adaptability to system parameter variations and dynamic wind speed changes."