Quantitative parameter tuning scheme for a class of multiloop control systems

Abstract

A quantitative parameter tuning scheme for a class of multiloop control systems is designed by Internal Model Control (IMC) method. IMC method is a common-used design method for multivariable control systems. This design method provides a single controller parameter for each control loop. The existing trial and error method for tuning these parameters are conservative and time-consuming. An analytical tuning scheme is proposed to tune these parameters quantitatively. Differing from the trial and error method, the interaction information is considered quantitatively in the tuning procedure. The proposed tuning scheme consists of calculation method of the tuning bound, parameter estimation method and dominant pole adjustment method. The quantitative relationships between the variation of the dominant pole and the time–domain design specifications are also studied. Numerical examples are given to demonstrate the validity of the proposed tuning scheme.