Identification and Optimal PI Control of an Electrostatic Precipitator

Abstract

This paper describes the identification and design of optimal Proportional plus Integral (PI) control system for a high voltage unit of an electrostatic precipitator (ESP) filter of a real cement kiln. The unbiased recursive least-squares algorithm is used to identify a linear discrete-time state-space model of the system based on state and measurements that were recorded during subjecting the system to a pseudo random binary sequence superimposed on its input. The state and input variables have been measured by using a dedicated electronic interface system especially designed for this purpose. Based on the identified model an optimal PI controller is designed by minimizing a quadratic performance index using dynamic programming algorithm. The controller is implemented on the real ESP filter and practical tests are presented to show the system performance.

Proportional Integral Speed Controller for Apron Feeder of a Limestone Crusher in a Cement Factory

“…Methods based on identification techniques to derive a model from measurements are available [12] and [13]. In [12], the experimentally identified input/output model was used to design an optimal output feedback controller for a laboratory power system.…”

“…In [12], the experimentally identified input/output model was used to design an optimal output feedback controller for a laboratory power system. In [13], an identified model of a practical electrostatic precipitator was obtained using least-squares method. Based on the identified model an optimal PI controller was designed and tested on the real precipitator in a cement factory.…”