Hi @F. Paul
- The reason for the similarity lies in the fact that the performance of the Type-2 fuzzy logic controller behaves akin to a Type-1 fuzzy logic controller within certain conditions. However, without detailed information about your system's design, input data, or specific metrics being analyzed, pinpointing the exact reason for this similarity is challenging. It's worth noting that this observation doesn't necessarily indicate a technical problem.
- As for a solution, it's contingent upon identifying any technical issues related to the fuzzy control design that may be contributing to the observed similarity. Typically, exploring potential factors that could influence the results from the perspective of a fuzzy system design expert can enhance the performance of both types of fuzzy controllers.
- In fuzzy rule design, there's no definitive right or wrong approach, as it largely depends on the designer's interpretation of logical reasoning in accommodating uncertainty. However, conducting thorough validation and verification procedures, such as simulation testing with various scenarios, can help uncover any potential human errors and ensure the robustness of the design.
