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By J F Herbst; International Federation of Automatic Control. Technical Committee on Applications

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Additional info for Automatic control in power generation, distribution, and protection : proceedings of the IFAC Symposium, Pretoria, Republic of South Africa, 15-19 September 1980

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Therefore other methods as - extended least squares (ELS ) - instrumental variables ( IV ) - maximum likelihood - correlation and least squares (ML) ( COR-LS ) have to be applied , s ee also Eykhoff ( 1 9 7 4 ) , I s ermann ( 1 9 7 4 ) . In the case of recursive es­ timation the methods RLS , RELS , RIV and RML can be written in the same form A as e q . ( 1 1 ) . 'f ( k + l ) and in µ ( k+ l ) . Recursive es­ timations allow also the identification of slowly timevariant proce sses after introducing a forgetting memory .

7 a ) . Applying i dentification method COR-LS leads to a TITO z-trans fer function model after about 1 30 min . Based on thi s model two para­ meter optimi zed main control lers for the s team temperature ( P I D ) and the s team pres­ sure (PI ) are des igned by numerical para­ meter optimization ( design time 5 to 10 min ) . 6 . 1 S i ng le i nput / s i ngJ_ e output i denti fi cation and c . a . d . of various feedback control algorithms for the fi nal superheater (program packages OLID-SISO and CADCA-SISO) Fig .

O Simulations of the closed loop behaviour wi th various control algorithms and control s chemes wi thout disturbing the proces s . Easy modi ficati on . o Saving of implementation and start-up time , especially for processes with lerge sett­ l i ng times or comp l i cated behaviour . R . I sermann xlvi i i o Improvement of control per formance by better adapted s imp le algori thms or more sophisti­ cated control algorithms . where T0 is the lead time and T r the integra­ tion time , corresponding to continous time PIO-controllers .

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