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All Journal Jurnal Teknik Elektro dan Komputer TRIAC Brilliance: Research of Artificial Intelligence
Rahman, Farhan Wahyu Nur
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Mathematics Other

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Energy Saving Opportunities in 3-Phase Induction Motors with Variable Speed Drive (V.S.D.) Drives Rachmadita, Renanda Nia; Rahman, Farhan Wahyu Nur; Setiawan, Edy; Juniani, Anda Iviana; Wiediartini, Wiediartini; Satrianata, Lugas Jagad
Jurnal Teknik Elektro dan Komputer TRIAC Vol 11, No 2 (2024): Oktober 2024
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v11i2.26971

Abstract

Most of the load in the motorcycles industry is motors. So, the largest energy use is in motorcycles. This study aims to prove the effect of speed change on a three-phase induction motor on energy consumption with a V.S.D. drive. The method used in this proof uses direct experiment methods and data analysis. The relationship between speed and energy use can be demonstrated through testing and data analysis. The results show that V.S.D. is set at frequencies of 20 Hz and 40 Hz to regulate the speed of the motor as a pump drive can save its energy use. This resulted in a reduction in energy consumption of 20.54% and operational costs of up to Rp 3,292.32 per month in the implementation of the motor as a pump driver.Bahasa IndonesiaSebagian besar beban di industri adalah motor. Sehingga penggunaan energi terbesar adalah pada penggunaan motor. Penelitian ini untuk membuktikan pengaruh perubahan kecepatan pada motor induksi tiga fase terhadap konsumsi energi dengan penggerak VSD. Metode yang digunakan dalam pembuktian ini menggunakan metode eksperimen langsung dan analisa data. Melalui pengujian dan analisis data, hubungan antara kecepatan dan penggunaan energi dapat ditunjukkan. Hasilnya menunjukkan bahwa VSD di atur pada frekuensi 20 Hz dan 40 Hz, untuk mengatur kecepatan motor sebagai penggerak pompa dapat menghemat penggunaan energinya. Merugikan penurunan konsumsi energi sebesar 20,54% dan pengurangan biaya operasional hingga Rp. 3.292,32 per bulan pada implementasi motor sebagai penggerak pompa.
Application of Ant Colony Optimization Algorithm in Determining PID Parameters in AC Motor Control Rahman, Farhan Wahyu Nur; Setiawan, Edy; Juniani, Anda Iviana; Nugraha, Anggara Trisna
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4741

Abstract

Application of Ant Colony Optimization (ACO) Algorithm in determining PID (Proportional-Integral-Derivative) parameters to optimize AC motor control through simulation using MATLAB. AC motors are a critical component in a wide range of industrial applications requiring efficient control to ensure optimal stability and response. This research focuses on optimizing the motor's RPM control by fine-tuning PID parameters using the ACO algorithm. Precise RPM control is crucial for maintaining performance in dynamic industrial environments. The ACO algorithm is used to optimize the PID parameter by referring to the objective function of Integral Time Absolute Error (ITAE). The optimization results show that this algorithm can achieve optimal convergence in the 33rd iteration with a fitness value of 6269. The optimal PID parameters obtained were Kp of 164.98, Ki of 23.47, and Kd of 10.51. The simulation of the AC motor control system shows a significant improvement in performance compared to the Trial-and-Error method. The simulation results demonstrate that ACO reduces steady-state errors by up to 9%, while Trial-and-Error reaches 25%. The settling time is also faster with ACO, which is 0.7 seconds, compared to the Trial-and-Error method which takes longer. The use of the ACO method in PID tuning has been proven to be more efficient and accurate than conventional approaches, thus improving the RPM stability and response of the AC motor control system. This study concludes that the integration between ACO and PID can be the optimal solution in automated control applications in industries that require responsive and stable motor RPM control.
Application of Ant Colony Optimization Algorithm in Determining PID Parameters in AC Motor Control Rahman, Farhan Wahyu Nur; Setiawan, Edy; Juniani, Anda Iviana; Nugraha, Anggara Trisna
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4741

Abstract

Application of Ant Colony Optimization (ACO) Algorithm in determining PID (Proportional-Integral-Derivative) parameters to optimize AC motor control through simulation using MATLAB. AC motors are a critical component in a wide range of industrial applications requiring efficient control to ensure optimal stability and response. This research focuses on optimizing the motor's RPM control by fine-tuning PID parameters using the ACO algorithm. Precise RPM control is crucial for maintaining performance in dynamic industrial environments. The ACO algorithm is used to optimize the PID parameter by referring to the objective function of Integral Time Absolute Error (ITAE). The optimization results show that this algorithm can achieve optimal convergence in the 33rd iteration with a fitness value of 6269. The optimal PID parameters obtained were Kp of 164.98, Ki of 23.47, and Kd of 10.51. The simulation of the AC motor control system shows a significant improvement in performance compared to the Trial-and-Error method. The simulation results demonstrate that ACO reduces steady-state errors by up to 9%, while Trial-and-Error reaches 25%. The settling time is also faster with ACO, which is 0.7 seconds, compared to the Trial-and-Error method which takes longer. The use of the ACO method in PID tuning has been proven to be more efficient and accurate than conventional approaches, thus improving the RPM stability and response of the AC motor control system. This study concludes that the integration between ACO and PID can be the optimal solution in automated control applications in industries that require responsive and stable motor RPM control.
Co-Authors Anda Iviana Juniani Anggara Trisna Nugraha Edy Setiawan Renanda Nia Rachmadita Satrianata, Lugas Jagad Wiediartini Wiediartini