Most process control applications assume that the processes they control are âlinearâ. In other words, they should respond the same way at high or low rates, when moving in one direction or the other, and when incremental changes are small or large. Unfortunately, most âreal worldâ processes arenât so simple and exhibit nonlinear behavior in different ways and to varying degrees. In this presentation, we will review some common nonlinear process characteristics and the differences between traditional linear and true nonlinear control (NLC) applications. We will discuss various linearization techniques that are used to improve the performance of linear control applications, including their relative difficulty/complexity, potential benefits, and limitations.
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