Mochamad Shofwan Rizqulloh
Universitas Islam Negeri Maulana Malik Ibrahim Malang

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PENGARUH PENGGUNAAN KENDALI PID PADA SWITCHED INDUCTOR BOOST CONVERTER Mochamad Shofwan Rizqulloh; Unggul Wibawa; Lunde Ardhenta
Jurnal Mahasiswa TEUB Vol 8, No 2 (2020)
Publisher : Jurnal Mahasiswa TEUB

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Switched inductor boost converter adalah salah satu jenis pengembangan dari boost converter. Namun, switched inductor boost converter masih memiliki kekurangan seperti hasil tegangan keluaran masih memiliki overshoot, waktu yang dibutuhkan untuk mencapai steady state cukup lama serta tegangan keluaran yang akan berubah seiring dengan perubahan pada tegangan masukan. Pada penelitian ini kendali PID dapat digunakan untuk mengatasi kekurangan tersebut. Metode yang digunakan untuk mendapatkan parameter PID berupa Kp, Ki dan Kd adalah metode sistesis langsung, sedangkan untuk pemodelan konverter digunakan metode state space averaging. Simulasi dilakukan dengan menggunakan MATLAB-Simulink, didapatkan dengan menerapkan pengendali PID pada switched inductor boost converter, respon transien tegangan keluaran menjadi lebih baik dan juga membuat sistem lebih tahan terhadap perubahan tegangan masukan dan perubahan beban, sehingga dapat mempertahankan nilai tegangan keluaran. Kata Kunci: switched inductor boost converter, boost converter, pengendali PID, sintesis langsung ABSTRACT Switched inductor boost converter is one type of boost converter. However, the switched inductor boost converter still has weakness such as the results of the output voltage still has overshoot and the time required to reach a steady state is quite long and the output voltage will change with changes in the input voltage. In this study PID controller can be used to resolve these weakness. Direct Synthesis method used to obtain the PID parameter consists of Kp, Ki and Kd, while for the converter modeling the state space averaging method is used. The simulation is done using MATLAB-Simulink, obtained by applying the PID controller to switched inductor boost converter, the transient response of the output voltage is better and also makes the system more resistant to changes in input voltage and load changes, so it can maintain the output voltage values. Keywords: switched inductor boost converter, boost converter, PID controller, direct synthesis
Design And Simulation Of 10 kW BLDC Motor Speed Control For Electric Vehicles Using FOC Based On Fuzzy Logic Control Rizqulloh, Mochamad Shofwan; Pamuji, Feby Agung; Suryoatmojo, Heri
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 8, No 1 (2024): January
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v8i1.386

Abstract

The use of electric vehicles in the current era has begun to spread evenly. Apart from the issue of air pollution produced by ICE vehicles, the ease and practicality of using electric vehicles is the reason why the public is starting to become interested in electric vehicles. Electric vehicle manufacturers are currently choosing BLDC motors for their production vehicles because they are considered suitable for applications that require high power and torque output. However, BLDC motors require more complicated control techniques than other DC motors. The commonly used BLDC motor speed control methods are trapezoidal scalar control and field oriented control. FOC is a type of BLDC motor control with a vector control method which has advantages in terms of efficiency compared to scalar control methods. Many studies on implementing FOC as speed control for BLDC motors, but the research that has been carried out still uses PI control as a basis, where it is known that PI control has shortcomings in the form of complexity in its design. Fuzzy Logic Control is known to be easy to design and reliable in control, so this paper will show the performance of Fuzzy-PI based FOC control as speed control for 10kW BLDC motor in simulation using Simulink program. The simulation results of proposed Fuzzy-PI based FOC method have better response than PI based FOC in terms of starting response with 6.43 times faster rise time, 2.45 times faster settling time, 96.31% lower overshoot value and reliability in overcoming disturbances up to 78.05% lower overshoot value and 2.33 times faster recovery time.
Effect of Using PID Control in Switched Inductor Boost Converter Mochamad Shofwan Rizqulloh; Unggul Wibawa; Lunde Ardhenta; Alisa Zahrani Farady Daud
International Journal of Electrical and Intelligent Engineering Vol 1, No 1 (2025)
Publisher : Department of Electrical Engineering Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ijeie.v1i1.34206

Abstract

Among the different kinds of boost converters is the switched inductor boost converter. But the Switched Inductor Boost Converter still has drawbacks, like output voltage results that still overshoot, a lengthy time to attain a steady state, and output voltage that fluctuates in response to input voltage changes. This shortcoming can be addressed in this investigation by using a PID controller. The PID parameter is obtained using the Direct Synthesis method, which includes Kp, Ki, and Kd. The state space averaging method is employed for the converter modeling. By applying the PID controller to the Switched Inductor Boost Converter while simulation is carried out using MATLAB-Simulink, the output voltage's transient response is improved where PID control can eliminate overshoot on output voltage response and speed up settling time by 1.35 times and also improves system's resistance to variations in input voltage and load value, allowing it to sustain the output voltage and lower momentary voltage change up to 68.3045% and speeds up recovery time up to 2.5287 times faster when input voltage changes occurs and lower overshoot value up to 39.2809% and speeds up recovery time up to 2.708 times faster when load changes occurs.