Due to the increasing global demand for energy, and the potential dangers of relying too heavily on our fossil fuel reserves, more and more research is being directed towards alternative, and preferably reusable or sustainable forms of energy supply. Many of these real world systems have operating regions or regimes that exhibit varying degrees of non-lineararity. An example of this are the significant variations in the dynamic characteristics of a distributed collector field within a solar power plant. Here a gain-scheduled controller using pole placement with feedforward was chosen to control the more linear operating regimes of the plant. A study was then carried out to find the best-suited and most efficient evolutionary-tuned fuzzy logic based controller, for exclusive and concentrated use on the plant’s more non-linear regions.