Implementable Self-Learning PID Controller Using Least Mean Square Adaptive Algorithm

  • Sami Hasan College of Information Engineering, Al-Nahrain University Baghdad, Iraq
  • Aya Moufak Ismael College of Information Engineering, Al-Nahrain University Baghdad, Iraq
Keywords: Adaptive PID Controller, Component, LMS Algorithm, Parameters, PID Control

Abstract

More than 95% of the industrial controllers in use today are PID or modified PID controllers. However, the PID is manually tuning to be responsive so that the Process Variable is rapidly and steady moved to track the set point with minimize overshoot and stable output. The paper presents generic teal-time PID controller architecture. The developed architecture is based on the adaption of each of the three controller parameters (PID) to be self- learning using individual least mean square algorithm (LMS). The adaptive PID is verified and compared with the classical PID. The rapid realization of the adaptive PID architecture allows the readily fabrication into a hardware version either ASIC or reconfigurable.

Published
2021-01-13
How to Cite
Sami Hasan, & Aya Moufak Ismael. (2021). Implementable Self-Learning PID Controller Using Least Mean Square Adaptive Algorithm. Iraqi Journal of Science, 148-154. https://doi.org/10.24996/ijs.2021.SI.1.20