The paper deals with the problem of rule based identification for unknown systems. Several rules have been established which give a desirable estimate for the time delay, minimum structure order and unknown parameters, by using only one open-loop step response test. These rules actually adjust the poles and zeros of the proposed linear model to make its response as close as possible to that of the original open-loop system. It has also been shown that this method can be directly used to identify the unknown parameters of MIMO systems. Finally, this rule based identifier is applied to three real experimental systems: a jet engine speed control system (SISO), a temperature process control system (SISO) and a coupled electric drive control system, (MIMO). For all the systems, desirable identification results have been obtained.
[1]
B. Porter,et al.
Real-time expert tuners for PI controllers
,
1987
.
[2]
Naresh K. Sinha,et al.
Modeling and identification of dynamic systems
,
1985,
IEEE Transactions on Systems, Man, and Cybernetics.
[3]
E. A. S Guillemin,et al.
Synthesis of Passive Networks
,
1957
.
[4]
Han-fu Chʿen.
Recursive estimation and control for stochastic systems
,
1985
.
[5]
Lennart Ljung,et al.
System Identification: Theory for the User
,
1987
.
[6]
R A E Sargeant,et al.
Expert Systems for Process Control Rooms
,
1986
.
[7]
Henk Tijms,et al.
Stochastic modelling and analysis: a computational approach
,
1986
.