The dilemma of PID tuning. (2021)

• Record Type: Journal Article
• Authors: Somefun, Oluwasegun Ayokunle; Akingbade, Kayode; Dahunsi, Folasade
• Is Part Of: Annual reviews in control. Volume 52(2021)
• Page Start: 65
• Page End: 74
• Publication Date: 2021
• Subjects: PID control -- PID tuning -- Optimization -- Dynamical system -- Settling-time identification -- System identification; Automatic control -- Periodicals; Periodicals; 629.805
• DOI: 10.1016/j.arcontrol.2021.05.002
• Languages: English
• ISSNs: 1367-5788

Abstract

Abstract: A lot of automatic feedback control and learning tasks carried out on many dynamical systems still fundamentally rely on a form of proportional–integral–derivative (PID) control law. The PID law is often viewed as a simplistic computational control algorithm. However just like all non-convex optimization problems, tuning the PID algorithm for accurate and stable closed-loop control becomes a NP-Hard Problem. This leads to a dilemma, for both users and designers, most especially in practise. It is then no wonder that tuning software is a big business in the industrial automation sector. In this review, we present and classify PID tuning methods till date into three general areas. Finally, we then present a proposal to minimize the dilemma of complexity and cost that has become associated with tuning the three main parameters of the PID control law. Hopefully, continuous attempts at the minimization of this dilemma can lead to both a money-savings investment and a significant improvement in the field of PID control design.