Performance improvement using simple PID controller tuning formulae

Abstract

The proportional integral derivative (PID) controller is the most dominant form of automatic controller in industrial use today. With this technique, it is necessary to adjust the controller parameters according to the nature of the process. Thus, for effective control of a HVDC system, for example, specific values need to be chosen for the P, I and D parameters, which will be different for the values required to control, for example, an induction motor drive. This tailoring of controller to process is known as controller tuning. Controller tuning is easily and effectively performed using tuning rules (i.e. formulae for controller tuning, based on process information). Such tuning rules allow the easy set up of controllers to achieve optimum performance at commissioning. Importantly, they allow ease of recommissioning if the characteristics of the process change. The paper communicates the results of recent work in the collation of industry-relevant PI and PID controller tuning rules, which may be applied to a variety of applications in power electronics, machines and drives.

Transient Response of Glycerin Heating Process

“…The step response of the glycerin heating process systemis an important performance characteristic that determines the correctnessa system respond to the change in input temperature [1], [2].The proportional-integral-derivative (PID) controller is well known to still dominate most of the process industries [3], [4], [5]. This is because the PID controller is a very simple control system andcan be understood by non-experts [3], [6].…”

A Software-Based Gain Scheduling of PID Controller

“…The gains of PID controller should be adjusted dynamically during the control process. Many on-line tuning algorithms, such as fuzzy logic, neural network and genetic algorithm, adaptive PID controller, model predictive PID controller, analytical PID controller and GS-PID controller have been introduced into C-PID controller to achieve desired control performances for the entire operating envelope of system [3][4][5][6][7]. Usually, PID tuning to find the proper values for PID controller gains involves trial and error.…”