Simulasi Sistem Kendali Water Level dan Temperatur Reservoir Radiator Motor Menggunakan Metode Fuzzy Logic

Nouval Pratama, Aldyas Devin (2026) Simulasi Sistem Kendali Water Level dan Temperatur Reservoir Radiator Motor Menggunakan Metode Fuzzy Logic. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sistem pendingin radiator berperan penting dalam menjaga temperatur kerja mesin agar tetap berada pada kondisi optimal. Penurunan volume coolant pada reservoir radiator dapat menurunkan kemampuan perpindahan panas sehingga meningkatkan risiko overheating yang berdampak pada penurunan performa serta umur pakai mesin. Selain itu, sistem pemantauan pada sepeda motor konvensional masih terbatas pada indikator temperatur sehingga pengendara sering terlambat mengetahui kondisi berkurangnya cairan pendingin. Oleh karena itu, diperlukan suatu sistem kendali yang mampu memantau temperatur dan water level secara bersamaan serta mengendalikan proses pengisian coolant secara otomatis untuk meningkatkan keandalan sistem pendingin. Penelitian ini bertujuan merancang dan mensimulasikan sistem kendali water level dan temperatur reservoir radiator sepeda motor Honda Vario 110 menggunakan metode Fuzzy Logic Controller (FLC) serta membandingkan kinerjanya dengan metode Proportional Integral Derivative (PID). Penelitian dilakukan menggunakan perangkat lunak Matlab/Simulink dengan memodelkan dinamika sistem pengisian coolant menggunakan sensor Thermocouple K-Type sebagai masukan temperatur, sensor non-contact water level sebagai masukan level cairan pada reservoir utama dan tangki cadangan, serta pompa DC sebagai aktuator. Perancangan FLC dilakukan melalui pembentukan fungsi keanggotaan (membership function), penyusunan rule base, proses inferensi Mamdani, dan defuzzifikasi, sedangkan parameter PID diperoleh melalui metode trial and error hingga diperoleh respon yang paling optimal. Kedua metode kemudian dievaluasi berdasarkan karakteristik respon sistem yang meliputi rise time, settling time, maximum overshoot, steady-state error, serta respon keluaran pengendali terhadap proses pengisian coolant. Hasil simulasi menunjukkan bahwa kedua metode mampu mengendalikan sistem hingga mencapai kondisi steady state sesuai setpoint. Namun demikian, Fuzzy Logic Controller menghasilkan respon yang lebih stabil, keluaran pengendali yang lebih halus, serta overshoot yang lebih kecil dibandingkan PID, sehingga lebih sesuai diterapkan pada sistem pengendalian water level dan temperatur reservoir radiator yang memiliki karakteristik nonlinier. Hasil penelitian ini diharapkan dapat menjadi referensi dalam pengembangan sistem kendali radiator berbasis perangkat keras pada penelitian selanjutnya.
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The radiator cooling system plays a vital role in maintaining the engine operating temperature within its optimal range. A decrease in the coolant volume inside the radiator reservoir reduces heat transfer efficiency, thereby increasing the risk of overheating, which may lead to decreased engine performance and shortened service life. Furthermore, conventional motorcycles generally rely only on temperature indicators, causing riders to be unaware of coolant level reduction until serious problems occur. Therefore, an intelligent control system capable of simultaneously monitoring temperature and coolant level while automatically regulating the coolant refilling process is required to improve the reliability of the radiator cooling system. This study aims to design and simulate a water level and temperature control system for the radiator reservoir of a Honda Vario 110 motorcycle using the Fuzzy Logic Controller (FLC) method and to compare its performance with the Proportional–Integral–Derivative (PID) controller. The simulation was carried out using MATLAB/Simulink by modeling the coolant filling dynamics with a K-Type thermocouple sensor as the temperature input, non-contact water level sensors as the coolant level inputs for the main reservoir and auxiliary tank, and a DC pump as the actuator. The FLC was developed by defining membership functions, constructing a rule base, implementing the Mamdani inference mechanism, and performing the defuzzification process, while the PID controller parameters were determined through the trial-and-error tuning method to obtain the optimal system response. Both control methods were evaluated based on several dynamic performance parameters, including rise time, settling time, maximum overshoot, steady-state error, and controller output response during the coolant filling process. The simulation results indicate that both controllers are capable of regulating the system until it reaches the desired steady-state condition. However, the Fuzzy Logic Controller demonstrates a more stable response, smoother controller output, and lower overshoot than the PID controller, making it more suitable for controlling the water level and temperature of a nonlinear radiator reservoir system. The findings of this study are expected to serve as a reference for the future development and implementation of hardware-based intelligent radiator control systems.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Fuzzy Logic Controller, Matlab Simulink, Sensor Thermocouple K Type 2 Wire, Sensor Non-Contact Water Level, Sistem Monitoring Radiator. Fuzzy Logic, Matlab Simulink, Radiator Monitoring System, Non-Contact Water Level Sensor, Thermocouple K Type 2 Wire Sensor.
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering systems. Automatic machinery (General)
Divisions:	Faculty of Vocational > Mechanical Industrial Engineering (D4)
Depositing User:	Aldyas Devin Nouval Pratama
Date Deposited:	03 Aug 2026 05:59
Last Modified:	03 Aug 2026 05:59
URI:	http://repository.its.ac.id/id/eprint/142174

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