Title :
Optimal Robust Servo Design with Industrial and Process Control Applications
Author_Institution :
School of Engineering Science, Simon Fraser University, Burnaby, BC V5A 1S6 CANADA
Abstract :
An optimal multivariable proportional-integral (PI) controller with preassigned eigenspectrum is designed so that the system output would track constant reference inputs in spite of constant but unknown plant disturbances. A sequential strategy for modal servomechanism design is given for the above problem. In addition, since the proposed PI controller is of state feedback type, an observer capable of estimating the unmeasurable state variables in spite of the presence of unknown disturbances is introduced, and the separation property for the overall servo/observer system is illustrated. The design strategy is successfully used for position control of a brushless dc motor, and in a regulator mode for controlling a headbox which is a integral part of the modern paper machines used in the pulp an paper industry.
Keywords :
Control systems; Electrical equipment industry; Industrial control; Observers; Optimal control; Pi control; Process control; Proportional control; Robust control; Servomechanisms;
Conference_Titel :
American Control Conference, 1992
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-0210-9