13.07.2015 Views

Assessment and Future Directions of Nonlinear Model Predictive ...

Assessment and Future Directions of Nonlinear Model Predictive ...

Assessment and Future Directions of Nonlinear Model Predictive ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

506 R. De Keyser <strong>and</strong> J. Donald III⎧⎪⎨ e(t) =white noise (uncorrelated noise with zero mean value)C(q −1 )=1+c 1 q −1 + ...+ c nc q −nc⎪⎩D(q −1 )=1+d 1 q −1 + ...+ d nd q −n dThe filter C(q −1 )/D(q −1 )isthedisturbance model. It is specified as a designfilter, mainly affecting the robustness <strong>of</strong> the control loop against non-measurabledisturbances <strong>and</strong> against modelling errors [4].RecipeNEPSACLampsREACTORWafer4 SCR4 TCFig. 2. Basic control structureThe model output x(t) represents the effect (as described by a process model)<strong>of</strong> the process input u(t) on the process output y(t) <strong>and</strong> is also a non-measurablesignal. The relationship between u(t) <strong>and</strong>x(t) is given by the generic dynamicmodel:x(t) =f[x(t − 1),x(t − 2), ...; u(t − 1),u(t − 2)...] (3)where f[.] represents a known function (process model), which can be a linearor a nonlinear function <strong>of</strong> x(.),u(.).The nonlinear multivariable model used in the RTCVD predictive controllerconsisted <strong>of</strong> 4 sub-models (one for each output i =1..4):x i (t) =c i x i (t − 1) 4 + a i 1 x i(t − 1) ...+ a i 3 x i(t − 3) + b i11 u 1(t − 1) + ...+b i13 u 1(t − 3) + ...+ b i41 u 4(t − 1) + ...+ b i43 u (4)4(t − 3) + d iFrom a theoretical st<strong>and</strong>point, the model (4) should include other nonlinearterms; indeed, the radiative heat flux is based on the temperature differencebetween heat source <strong>and</strong> wafer surface raised to the 4 th power. However, froman engineering st<strong>and</strong>point, a simplified yet accurate model was obtained duringthe identification phase. This simplified model (4) still contains 68 parameters.The parameters have been identified successfully from a multiple <strong>of</strong> real-lifeexperiments on a pilot-plant RTCVD-reactor. Some model responses can beobserved in Fig. 3, clearly illustrating the interactive multivariable <strong>and</strong> nonlinearcharacter <strong>of</strong> the process.3.2 EPSACThe fundamental step in MPC methodology consists in prediction <strong>of</strong> the processoutput y(t + k) attimeinstantt, indicated by y(t + k|t),k =1..N 2 over theprediction horizon N 2 <strong>and</strong> based on:

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!