Modeling and Simulation of DC Motor Speed PID Control Using Outseal with LabVIEW Integration
Abstract views: 276
/ 
PDF downloads: 126
Keywords:
DC Motor Speed Control, PID Algorithm, Outseal Ladder Logic, Labview Integration, Proteus Simulation, Modbus Communication, Real-Time Monitoring, Embedded Control SystemsAbstract
This study presents a simulation-based approach to implementing speed control of a DC motor
using a Proportional-Integral-Derivative (PID) algorithm, developed through Outseal ladder logic and
integrated with LabVIEW for real-time monitoring. The primary objective is to model and simulate a
closed-loop control system that enables precise speed regulation under varying load conditions. The system
architecture combines Outseal Nano hardware logic with Proteus simulation to emulate encoder feedback
and motor driver behavior, while LabVIEW serves as the visualization and data acquisition platform via
Modbus communication. The ladder diagram is programmed to compute PID parameters dynamically, and
the simulation environment allows for real-time adjustment of setpoints and observation of process
variables, control outputs, and error signals. Fourteen holding registers are utilized to exchange key control
data, including Kp, Ki, Kd, SP, PV, and OP values. The results demonstrate stable speed tracking
performance, minimal overshoot, and responsive adaptation to input changes. The integration of Outseal
and LabVIEW within Proteus provides a flexible and scalable framework for educational and industrial
applications. This work contributes to the field of embedded control systems by offering a modular and
replicable simulation model that bridges hardware logic programming with graphical monitoring tools.
Downloads
References
Y. Alward, O. Singh, and M. A. Ansari, “Industrial automation and control systems development future and challenges,” J. Inf. Optim. Sci., vol. 43, no. 1, pp. 71–83, Jan. 2022, doi: 10.1080/02522667.2022.2036354.
S. J. Hammoodi, K. S. Flayyih, and A. R. Hamad, “Design and implementation speed control system of DC Motor based on PID control and matlab simulink,” Int. J. Power Electron. Drive Syst., vol. 11, no. 1, p. 127, Mar. 2020, doi: 10.11591/ijpeds.v11.i1.pp127-134.
S. Küçükdermenci, “Enkoderli DC Motorda PWM Kontrolü,” in Mühendislikte Yeni Trendler ve Sınırlar, 1st ed., All Sciences Academy, 2024, pp. 223–231.
P. Peerzada, W. H. Larik, and A. A. Mahar, “DC motor speed control through arduino and L298N motor driver using PID controller,” Int. J. Electr. Eng. Emerg. Technol., vol. 4, no. 2, pp. 21–24, 2021.
S. Küçükdermenci, “PID Control of DC Motor Position and Speed in a LabVIEW-Arduino Framework,” in 6th International Conference on Engineering and Applied Natural Sciences, 2025, pp. 301–308.
S. Küçükdermenci, “Real-time PID-Based DC Motor Position Control Interface Using LabVIEW and Proteus Co-Simulation,” in 1st International Conference on Pioneer and Academic Research, 2025, pp. 274–281.
S. Küçükdermenci, “Design of a Hybrid PID-Feedforward Control System for Smart Greenhouse,” in 2nd International Conference on Modern and Advanced Research, 2025, pp. 436–41.
S. Küçükdermenci, “PID Tabanlı Sıcaklık Kontrol Arayüzünün Geliştirilmesi,” in Mühendislikte Yeni Trendler ve Sınırlar, All Sciences Academy, 2024, pp. 232–41.
S. Sunardi and M. S. Abdillah, “IoT based Oxygen Availability Monitoring and Automatic Control System for Clinical Patients,” Proc. Pakistan Acad. Sci. A. Phys. Comput. Sci., vol. 62, no. 2, pp. 97–106, 2025.
T. Wahyudi, Z. Abidin, and A. Bachri, “Implementation of PLC Outseal in the Control and Monitoring System for Chicken Farming Using SCADA Haiwell,” G-Tech J. Teknol. Terap., vol. 9, no. 4, pp. 1839–1847, 2025.
A. T. Nugraha and C. Febrianti, “Application of Flowmeter Sensor Technology in Ship Auxiliary Engines for Improved Energy Efficiency in the Maritime Community Based on PLC Technology,” Marit. Community Serv. Empower., vol. 2, no. 2, pp. 57–63, 2024.
S. Küçükdermenci, “AVR mikrodenetleyicide zamanlayıcıların normal modda programlanması,” in Innovatıve Studies in Engıneering, 2024, pp. 305–322.
S. Küçükdermenci, “AVR mikrodenetleyicide zamanlayıcıların CTC modda programlanması,” in Innovatıve Studies in Engıneering, 2024, pp. 288–303.
A. H. Awami, M. Abdulrazigh, and M. Khairalla, “Wireless Control System for Power Source Using RF433MHz Communication and AVR Microcontroller,” Int. J. Electr. Eng. Sustain., pp. 83–94, 2025.
O. A. Benjamin, F. A. Olapeju, and F. O. Stephen, “Development of a Microcontroller-based Driver Alcohol Detection System (MDADS) for Road Safety,” Eng. Res. Perspect. Recent Adv. Vol. 10, pp. 1–17, 2025.
S. Küçükdermenci, “A Simulation-Based Approach to PID Temperature Control Using Outseal Nano and LabVIEW,” in 3rd International Conference on Modern and Advanced Research, 2025, pp. 313–320.
S. Küçükdermenci, “Bitwise Operators and GPIO Pin Control in ATmega328P,” in Pioneer Research in Engineering, All Sciences Academy, 2025, pp. 83–98.
S. Küçükdermenci, “Timer Modes for ATmega328P Microcontroller,” in Trend Academic Studies in Engineering, All Sciences Academy, 2025, pp. 113–133.
S. Küçükdermenci, “Simulation-Based Smart Energy Monitoring System,” in 4th International Conference on Recent Academic Studies, 2025, pp. 395–401.
S. KUCUKDERMENCI and E. ILTEN, “Arduino Based Fire Extinguisher Vehicle Design and Application,” Int. J. Adv. Nat. Sci. Eng. Res., vol. 9, no. 2, pp. 223–232, 2025.
S. Küçükdermenci, “Wireless Foot Pressure Monitoring System for Gait Rehabilitation,” in 5th International Conference on Engineering and Applied Natural Sciences, All Sciences Academy, 2024, pp. 1451–1457.
S. Küçükdermenci, “Multifunctional Smart Glove: An Innovative Solution for Sign Language Interpretation and Wireless Wheelchair Control,” in 3rd International Conference on Frontiers in Academic Research, All Sciences Academy, 2024, pp. 1142–1149.
L. Davidovitch, A. Parush, and A. Shtub, “Simulation‐based learning in engineering education: Performance and transfer in learning project management,” J. Eng. Educ., vol. 95, no. 4, pp. 289–299, 2006.
F. Wu and T. He, “Application of proteus in microcontroller comprehensive design projects,” in Instrumentation, Measurement, Circuits and Systems, Springer, 2012, pp. 363–369.
S. Küçükdermenci, “Real-Time Speed Control System: PID Tuning and Visualization with Proteus and LabVIEW,” in 3rd International Conference on Contemporary Academic Research, All Sciences Academy, 2024, pp. 981–87.
B. Rathore, “Working and applications of programmable logic controller: A comprehensive study,” in Renewable Energy Integration in Utility Grids, Elsevier, 2025, pp. 241–256.
L. Khalil, N. Alwaz, R. Siddique, K. Khalil, M. A. I. Awan, and M. K. L. Bhatti, “Labview based real-time data acquisition system for industrial process management,” Pak. J. Sci, vol. 71, no. 4, p. 10, 2019.
S. Küçükdermenci, “Integration of Proteus and LabVIEW for Open-Loop DC Motor Control with Position and Speed Feedback,” in 3rd International Conference on Contemporary Academic Resea, All Sciences Academy, 2024, pp. 975–80.
N. C. Găitan, I. Zagan, and V. G. Găitan, “Proposed modbus extension protocol and real-time communication timing requirements for distributed embedded systems,” Technologies, vol. 12, no. 10, p. 187, 2024.
R. G. Gadia and R. V Marcos, “A Cost-Effective LabVIEW-Arduino Framework for Control System Computation and PID Simulation in Engineering Education,” Int. J. Inf. Educ. Technol., vol. 15, no. 8, 2025.
A. Ma’arif, N. R. Setiawan, and E. S. Rahayu, “Embedded control system of DC motor using microcontroller arduino and PID algorithm,” IT J. Res. Dev., vol. 6, no. 1, pp. 30–42, 2021.
V. A. Thomas and K. Srinivasan, “Design and implementation of enhanced PID controller in embedded platform for realtime applications,” in 2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC), IEEE, 2019, pp. 129–133.
A. Beghi, F. Marcuzzi, P. Martin, F. Tinazzi, and M. Zigliotto, “Virtual prototyping of embedded control software in mechatronic systems: A case study,” Mechatronics, vol. 43, pp. 99–111, 2017.
