DESIGN AND STABILIZATION CONTROL OF ELECTRIC HEATING FURNACE TEMPERATURE USING DIGITAL PID CONTROLLER

  • Nguyen Thi Luyen Hung Yen University of Technology and Education
  • Vu Dinh Dat Hung Yen University of Technology and Education
  • Nguyen Thi Van Anh Hung Yen University of Technology and Education

Abstract

The electric heating furnace is a nonlinear system, making traditional methods for identifying and finding parameters for the temperature stabilization controller time-consuming and prone to errors. This paper introduces the integration of Arduino with Matlab to facilitate the identification process and parameter finding for the controller more effectively, making temperature stabilization control more convenient and accurate. First, the paper describes the hardware construction of the system, including the design of the furnace with LM35 temperature sensors and the use of Arduino to read temperature data. Subsequently, the connection between Matlab and Arduino is illustrated for data processing and parameter determination of the PID controller. Two main methods used for finding PID parameters are the Ziegler-Nichols method and the tuning method. The results indicate that the digital PID controller not only helps minimize temperature fluctuations but also improves the system’s energy efficiency. Practical experiments and simulations have demonstrated that integrating Arduino and Matlab in the heating furnace control system is an effective solution, yielding more optimal results compared to traditional methods.

References

Kim, H., Park, J., Lee, S. và Kim, M. PID Control for Temperature Stability in Industrial Heating Systems. Journal of Process Control, 2018, vol. 67, pp. 58-65.

Wang, L., Zhang, H. và Li, Y. Advanced PID Control in Industrial Applications. Control Engineering Practice, 2020, vol. 95, pp. 104232.

Patel, D., Singh, R. và Kumar, V. Integrating Arduino and Matlab for Improved Temperature Control. International Journal of Advanced Computer Science and Applications, 2021, vol. 12, no. 3, pp. 45-51.

Zhao, Y., Chen, L. và Wu, J. Data Processing and PID Parameter Tuning with Arduino and Matlab. Journal of Automation and Control Engineering, 2019, vol. 7, no. 2, pp. 73-79.

Li, X., Yang, Z. và Liu, H. Optimizing PID Parameters with Ziegler-Nichols Method. ISA Transactions, 2017, vol. 72, pp. 213-221.

Smith, J., Johnson, M. và Lee, K. Effectiveness of PID Controllers in Industrial Heating Systems. International Journal of Control, Automation and Systems, 2020, vol. 18, no. 4, pp. 923-931.

Hernandez, F., Rodriguez, M. và Gonzalez, P. Digital PID Control in Temperature Regulation. Control Engineering Practice, 2019, vol. 84, pp. 1-9.

Taylor, A., Green, J. và Brown, D. Modern Techniques in Temperature Control Systems. International Journal of Heat and Mass Transfer, 2019, vol. 137, pp. 745-754.

Nguyen, T., Pham, Q. và Tran, L. Active Experimental Method for Controller Parameter Identification. Journal of Dynamic Systems, Measurement, and Control, 2019, vol. 141, no. 10, pp. 101011.

Kumar, R., Singh, A. và Verma, S. Integrating Arduino and Matlab for Improved Temperature Control. IEEE Access, 2021, vol. 9, pp. 12345-12353.

Johnson, M., Smith, J. và Davis, E. Optimizing PID Parameters Using Advanced Algorithms. IEEE Transactions on Industrial Electronics, 2022, vol. 69, no. 5, pp. 4534-4542.

Hernandez, F., Martinez, R. và Lopez, J. Application of Machine Learning in PID Parameter Tuning. IEEE Access, 2023, vol. 11, pp. 6734-6743.

Lee, S., Kim, H. và Park, J. Combining Arduino, Matlab, and Advanced Optimization Methods for Industrial Applications. IEEE Transactions on Power Electronics, 2021, vol. 36, no. 7, pp. 8123-8132.

Nguyễn Doãn Phước, Phan Xuân Minh, Nhận dạng hệ thống điều khiển, Nhà xuất bản Khoa học và Kỹ thuật, 2005.

Published
2024-06-26