Abstract
A new identification technique (ATV+) for completely unknown processes is presented: it allows to build a parametric model from few experimental tests and to design a PID or Model Based Controller. It is also extended to open loop unstable processes and to multivariable processes. The method is compared with the original technique (ATV) and with simpler identification techniques in terms of ease of application, duration of tests and achievable performance.
Simulation results for the case of SISO processes, show that identification obtained by ATV+ technique allows superior performance, both for PID and for Model Based Controllers, thus compensating the longer identification times. In the MIMO case, ATV+ technique leads successfully to the design of decentralized controllers, but the improved knowledge of the system is not compensated by superiority in achievable performance.
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Scali, C. (2002). Identification of Chemical Processes for Control Purposes by Relay Techniques. In: Continillo, G., Giona, M., Crescitelli, S. (eds) Nonlinear Dynamics and Control in Process Engineering — Recent Advances. Springer, Milano. https://doi.org/10.1007/978-88-470-2208-9_18
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DOI: https://doi.org/10.1007/978-88-470-2208-9_18
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