The design of an efficient control strategy will usually require a suitable model representing both the steady-state and dynamic performance of the process. In most practical problems the complexity of the process usually dictates a complicated theoretical model which is not readily compatible with the need to design simple regulators. However, the majority of high order and stochastic effects that characterise the operation of a large dynamic complex system can frequently be represented in terms of simple dynamic models which can be readily used to design suitable controllers. Identification can often be used to estimate such models from input/output data records and gives further knowledge and insight of the process and its environment.
Effective data handling and estimation programs are necessary for efficient identification and the present study describes the development of an identification package SPAID-Sheffield Package for the Analysis and Identification of Data. The package which has been written for a CONPAC 4020 process computer, consists of several suites of programs for logging, data handling and modification, parameter estimation, model validity tests, simulation and plotting. The programs are interactive via a graphics display terminal with user intervention to control the identification procedure. Operational data from a production electric arc furnace is analysed and properties of the arc discharge, interaction between the regulators and a difference equation model of the electrode position controller are identified.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)