Model Identification of Continuous Fermentation under Noisy
Measurements
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ecei ed Septem er ccepted 3 o em er
Abstract:
The dynamic model concept play a central role in automatic control nder tanding the dynamic eha ior of chemical and iological proce e depend fir t on under tanding the teady tate eha ior of the e proce e then the dynamic characteri tic of the proce (e g the time con tant gain and deadtime) can e u ed to determine ho long it ta e to approach the ne teady tate and hat path the proce ta e The dynamic model can e u ed for ioproce de ign analy i of ioproce control approache operator training and tart-up hutdo n trategy de elopment Thi paper ill pre ent ioproce model identification of continuou fermentation for gluconic acid production under mea urement noi e In thi tudy the input and output data a generated from fir t principle dynamic ioproce model u ing Contoi inetic model and ma alance Simulated mea urement noi e ere then added to proce aria le The data a then analy ed u ing Sy tem Identification Tool o in atla The final re ult o tained are in the form of aplace-tran fer function
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