Latin Abstract :
This paper presents a rational modelling procedure of a pilot heating process by using the grey box modelling method. A simplified
nonlinear continuous model, based on the conservation of energy, is formed and unknown parameters of the model are
estimated by using measured data from an experiment with the process. The model is expanded with a wider model structure by
testing formulated hypothesis about the process. The model is also expanded in an engineering way by considering the shape of the
residuals. During the model expansion the Likelihood ratio test is applied for falsification tests. The study uses the continuous
model for both estimating the states of the process and controlling the system. A continuous-discrete extended Kalman filter estimates
the model states and time varying disturbances. The model predictive controller is based on the continuous process model,
but the optimisation of the control performance index is made at discrete sampling instances. The control law compensates for
changing temperature references and compensate for varying load situations. Besides using the model for control purposes the case
demonstrate the possibility of using the grey box modelling technique to estimate physical process parameters such as the thermal
diffusivity of the process.
NaturalLanguageKeyword :
Heating process , Grey box modelling , Model predictive control , Extended Kalman Filter
