Optimum Settings for Automatic Controllers

Abstract

In this paper, the three principal control effects found in present controllers are examined and practical names and units of measurement are proposed for each effect. Corresponding units are proposed for a classification of industrial processes in terms of the two principal characteristics affecting their controllability. Formulas are given which enable the controller settings to be determined from the experimental or calculated values of the lag and unit reaction rate of the process to be controlled. These units form the basis of a quick method for adjusting a controller on the job. The effect of varying each controller setting is shown in a series of chart records. It is believed that the conceptions of control presented in this paper will be of assistance in the adjustment of existing controller applications and in the design of new installations.

Control of integrating process with dead time using auto-tuning approach

“…In Rice and Cooper's method, an IMC based DTC was proposed particularly to reject the chatter in the controller for integrating processes. When affected by noise disturbances, the results proved that this method was better than the tuning formulas proposed by Ziegler-Nichols (1942) (ZN) and Tyreus and Luyben (1992). Wang et al (2006) proposed a modified DTC with two degrees of freedom, a filter and a controller.…”

Multi-Objective Evolutionary Optimization of PID Controller by Chaotic Particle Swarm Optimization

“…The method can be interpreted as a technique of positioning one point on the Nyquist curve [40], [41]. This can be achieved by adjusting the controller gain ( c K ) till the system undergoes sustained oscillations (at the ultimate gain or critical gain), whilst maintaining the integral time constant ( i T ) at infinity and the derivative time constant ( d T ) at zero.…”

Application of Chaotic Particle Swarm Optimization to PID Parameter Tuning in Ball and Hoop System

“…The method can be interpreted as a technique of positioning one point on the Nyquist curve [30], [31]. This can be achieved by adjusting the controller gain ( c K ) till the system undergoes sustained oscillations (at the ultimate gain or critical gain), whilst maintaining the integral time constant ( i T ) at infinity and the derivative time constant ( d T ) at zero.…”