The remaining two chapters consider applications of nonlinear multivariable controlMultivariable control design methods. This chapter covers the topics of power generation using wind energy, and metal processing involving rolling processes. It also includes design studies on process controlProcess control applications involving a heavy oil fractionator, control of stirred tank reactors and finally predictive control for evaporators. The main message from the results in this chapter is that it is practical to apply the advanced nonlinear controlNonlinear control design methods proposed and it is not unduly difficult to do so. The valuable role that LPV and state-dependent models have for industrial process modelling is also demonstrated. The results suggest performance benefits should be obtained by applying advanced controls, but whether these are really significant will depend upon the application and the time spent on system design and tuning.


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    Title :

    Nonlinear Industrial Process and Power Control Applications


    Contributors:

    Published in:

    Publication date :

    2020-05-20


    Size :

    53 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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