Type-2 Fuzzy Logic System Applied to a Temperature Control of an Electric Oven

The control of non-linear systems is a difficult task, requiring efficient control algorithms and good accuracy. The control of these processes requires a good ability to deal with uncertainties, essentially caused by changes in the environment of the system. To address this problem, a prototype oven was built, connected to a PC through embedded electronics, allowing the test and validation of three different control algorithms. A comparison was done among the proposed models: rule-based control algorithm, type-1 fuzzy logic system, and type-2 fuzzy logic system. Also, it is analyzed their effectiveness based on their performance and ability to deal with uncertainties. Experimental results show that the type-2 fuzzy logic system has a better response having an improved rise time, minimum overshoot and the best performance. It also showed a continuous response, with a better approximation of the desired result, and an excellent ability to handle with uncertainties.