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Abstract
ABSTRAK
Motor arus searah (DC) banyak digunakan pada aktuator industri, namun kinerjanya mudah terganggu oleh perubahan beban mendadak sehingga memerlukan sistem kendali yang andal. Penelitian ini membandingkan tiga teknik penalaan pengendali Proportional–Integral–Derivative (PID), yaitu penalaan manual, metode Ziegler–Nichols, dan PID Tuner pada MATLAB/Simulink, untuk pengendalian kecepatan motor DC yang dikenai gangguan beban. Model matematis motor DC diturunkan hingga diperoleh fungsi alih orde dua, kemudian dianalisis secara analitis dan disimulasikan. Karakteristik respons transien, kestabilan melalui kriteria Routh–Hurwitz, galat keadaan tunak, serta ketahanan terhadap gangguan dievaluasi untuk setiap metode. Hasil simulasi menunjukkan ketiga metode menghasilkan sistem stabil dengan galat keadaan tunak mendekati nol. PID Tuner menghasilkan rise time tercepat (0,1105 detik) dan overshoot terkecil (0,92%). Secara keseluruhan, penalaan berbasis PID Tuner direkomendasikan untuk aplikasi yang menuntut respons halus dan tahan gangguan.
ABSTRACT
Direct current (DC) motors are widely used as industrial actuators, but their performance is easily affected by sudden load changes, which calls for a reliable control system. This study compares three tuning techniques for a Proportional–Integral–Derivative (PID) controller, namely manual tuning, the Ziegler–Nichols method, and the PID Tuner in MATLAB/Simulink, for controlling the speed of a DC motor subjected to a load disturbance. The mathematical model of the DC motor is derived to obtain a second-order transfer function, then analyzed analytically and simulated. The transient response, stability through the Routh–Hurwitz criterion, steady-state error, and disturbance rejection are evaluated for each method. The results show all three methods yield a stable system with a steady-state error approaching zero. The PID Tuner provides the fastest rise time (0.1105 s) and the smallest overshoot (0.92%). Overall, PID Tuner-based tuning is recommended for applications demanding a smooth, disturbance-resistant response.
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Copyright (c) 2026 Muhammad Ayyasy Taufiqurrahman

This work is licensed under a Creative Commons Attribution 4.0 International License.
References
- J. G. Ziegler and N. B. Nichols, “Optimum settings for automatic controllers,” Transactions of the ASME, vol. 64, no. 8, pp. 759–768, 1942.
- K. Ogata, Modern Control Engineering, 5th ed. Upper Saddle River, NJ: Prentice Hall, 2010.
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- R. S. Widagdo, F. D. Murdianto, and R. Wahyudianto, “Modelling and Analysis of Ziegler-Nichols and Chien-Hrones-Reswick Tuning PID on DC Motor Speed Control,” Jurnal Teknologi Elektro, vol. 14, no. 1, pp. 27–33, Jan. 2023, doi: 10.22441/jte.2023.v14i1.005.
- E. S. Rahayu, A. Ma’arif, and A. Cakan, “Particle Swarm Optimization (PSO) Tuning of PID Control on DC Motor,” International Journal of Robotics and Control Systems, vol. 2, no. 2, pp. 435–447, 2022, doi: 10.31763/ijrcs.v2i2.476.
- H. S. Dakheel, Z. B. Abdullah, and F. N. Abdullah, “Simulation Model of ANN and PID Controller for Direct Current Servo Motor by Using Matlab/Simulink,” TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 20, no. 4, pp. 736–742, Aug. 2022, doi: 10.12928/TELKOMNIKA.v20i4.23248.
References
J. G. Ziegler and N. B. Nichols, “Optimum settings for automatic controllers,” Transactions of the ASME, vol. 64, no. 8, pp. 759–768, 1942.
K. Ogata, Modern Control Engineering, 5th ed. Upper Saddle River, NJ: Prentice Hall, 2010.
N. S. Nise, Control Systems Engineering, 7th ed. Hoboken, NJ: John Wiley & Sons, 2015.
R. C. Dorf and R. H. Bishop, Modern Control Systems, 13th ed. New York, NY: Pearson, 2017.
K. J. Åström and T. Hägglund, PID Controllers: Theory, Design, and Tuning, 2nd ed. Research Triangle Park, NC: Instrument Society of America, 1995.
G. F. Franklin, J. D. Powell, and A. Emami-Naeini, Feedback Control of Dynamic Systems, 7th ed. Boston, MA: Pearson, 2015.
R. Krishnan, Electric Motor Drives: Modeling, Analysis, and Control. Upper Saddle River, NJ: Prentice Hall, 2001.
The MathWorks, Inc., “PID Controller Tuning in Simulink,” MATLAB & Simulink Documentation, Natick, MA, 2023.
A. Ma’arif, R. Istiarno, and S. Sunardi, “Kontrol Proporsional Integral Derivatif (PID) pada Kecepatan Sudut Motor DC dengan Pemodelan Identifikasi Sistem dan Tuning,” ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika, vol. 9, no. 2, pp. 374–388, Apr. 2021, doi: 10.26760/elkomika.v9i2.374.
A. Ma’arif and N. R. Setiawan, “Control of DC Motor Using Integral State Feedback and Comparison with PID: Simulation and Arduino Implementation,” Journal of Robotics and Control (JRC), vol. 2, no. 5, pp. 456–461, Sep. 2021, doi: 10.18196/jrc.25122.
D. Saputra, A. Ma’arif, H. Maghfiroh, P. Chotikunnan, and S. N. Rahmadhia, “Design and Application of PLC-based Speed Control for DC Motor Using PID with Identification System and MATLAB Tuner,” International Journal of Robotics and Control Systems, vol. 3, no. 2, pp. 233–244, Apr. 2023, doi: 10.31763/ijrcs.v3i2.775.
R. S. Widagdo, F. D. Murdianto, and R. Wahyudianto, “Modelling and Analysis of Ziegler-Nichols and Chien-Hrones-Reswick Tuning PID on DC Motor Speed Control,” Jurnal Teknologi Elektro, vol. 14, no. 1, pp. 27–33, Jan. 2023, doi: 10.22441/jte.2023.v14i1.005.
E. S. Rahayu, A. Ma’arif, and A. Cakan, “Particle Swarm Optimization (PSO) Tuning of PID Control on DC Motor,” International Journal of Robotics and Control Systems, vol. 2, no. 2, pp. 435–447, 2022, doi: 10.31763/ijrcs.v2i2.476.
H. S. Dakheel, Z. B. Abdullah, and F. N. Abdullah, “Simulation Model of ANN and PID Controller for Direct Current Servo Motor by Using Matlab/Simulink,” TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 20, no. 4, pp. 736–742, Aug. 2022, doi: 10.12928/TELKOMNIKA.v20i4.23248.