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PID-Based Air Conditioning Temperature Control Simulation Using MATLAB/Simulink

Electrical, Signals and Systemic Intelligence · Vol. 1 No. 1 (2026)

Terbit
2026-06-30
Penerbit
Electrical Engineering Study Program, Universitas Jambi
Bahasa
en
Lisensi
creativecommons.org/licenses/by-nc-sa/4.0

Abstrak

This study aims to design and simulate an air conditioner (AC) temperature-control system using a Proportional-Integral-Derivative (PID) controller in MATLAB/Simulink. The system is modeled as a first-order thermal system with a gain of 1.2 and a time constant of 220 seconds, representing room thermal dynamics, and is controlled in discrete time with a one-second sampling period. The simulation compares four control scenarios, namely without a controller, proportional (P), proportional-integral (PI), and proportional-integral-derivative (PID), using a step input that drives the room temperature from an initial 30°C toward a 22°C setpoint. The PID parameters were obtained through a tuning process, resulting in Kp = 2.587, Ki = 0.0221, and Kd = 0.001. The performance of each control method is evaluated based on transient response characteristics, including rise time, overshoot, and steady-state error. The results show that the PID controller provides optimal performance, reducing the overshoot to 0.505% with a near-zero steady-state error, compared to 27.564% overshoot under P control and 36.301% under PI control. In contrast, the system without a controller exhibits an unstable, slow response and fails to reach the setpoint, despite showing an initial overshoot of 5.851%. The findings demonstrate that implementing PID control, particularly by adding derivative action, significantly improves the stability and accuracy of AC temperature regulation. This study is expected to serve as a reference for the development of efficient and reliable temperature-control systems for real-world applications.

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Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/essi/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en">PID-Based Air Conditioning Temperature Control Simulation Using MATLAB/Simulink</dc:title>
	<dc:creator xml:lang="en">Wirasapta, Andicho Haryus</dc:creator>
	<dc:creator xml:lang="en">Salisa 'Asyarina Ramadhani</dc:creator>
	<dc:creator xml:lang="en">Mochammad Rizky Abadi Sutoyo</dc:creator>
	<dc:creator xml:lang="en">Samosir, Teddy Samuel</dc:creator>
	<dc:creator xml:lang="en">Habib, Nadia Sahda</dc:creator>
	<dc:creator xml:lang="en">Fadhilah , Ahmad Zean Rizky</dc:creator>
	<dc:creator xml:lang="en">Bauw, Umah Ria</dc:creator>
	<dc:subject xml:lang="en">Air Conditioner</dc:subject>
	<dc:subject xml:lang="en">PID Control</dc:subject>
	<dc:subject xml:lang="en">MATLAB/Simulink</dc:subject>
	<dc:subject xml:lang="en">Temperature Control</dc:subject>
	<dc:subject xml:lang="en">HVAC</dc:subject>
	<dc:description xml:lang="en">This study aims to design and simulate an air conditioner (AC) temperature-control system using a Proportional-Integral-Derivative (PID) controller in MATLAB/Simulink. The system is modeled as a first-order thermal system with a gain of 1.2 and a time constant of 220 seconds, representing room thermal dynamics, and is controlled in discrete time with a one-second sampling period. The simulation compares four control scenarios, namely without a controller, proportional (P), proportional-integral (PI), and proportional-integral-derivative (PID), using a step input that drives the room temperature from an initial 30°C toward a 22°C setpoint. The PID parameters were obtained through a tuning process, resulting in Kp = 2.587, Ki = 0.0221, and Kd = 0.001. The performance of each control method is evaluated based on transient response characteristics, including rise time, overshoot, and steady-state error. The results show that the PID controller provides optimal performance, reducing the overshoot to 0.505% with a near-zero steady-state error, compared to 27.564% overshoot under P control and 36.301% under PI control. In contrast, the system without a controller exhibits an unstable, slow response and fails to reach the setpoint, despite showing an initial overshoot of 5.851%. The findings demonstrate that implementing PID control, particularly by adding derivative action, significantly improves the stability and accuracy of AC temperature regulation. This study is expected to serve as a reference for the development of efficient and reliable temperature-control systems for real-world applications.</dc:description>
	<dc:publisher xml:lang="en">Electrical Engineering Study Program, Universitas Jambi</dc:publisher>
	<dc:date>2026-06-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://online-journal.unja.ac.id/essi/article/view/56581</dc:identifier>
	<dc:source xml:lang="en">Electrical, Signals and Systemic Intelligence; Vol. 1 No. 1 (2026): June 2026</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/essi/article/view/56581/25213</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Andicho Haryus Wirasapta, Salisa 'Asyarina Ramadhani, Mochammad Rizky Abadi Sutoyo, Teddy Samuel Samosir, Nadia Sahda Habib, Ahmad Zean Rizky Fadhilah , Umah Ria Bauw</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-nc-sa/4.0</dc:rights>
</oai_dc:dc>