A metaheuristic approach for interval type-2 fuzzy fractional order fault-tolerant controller for a class of uncertain nonlinear system*

A new optimum interval type-2 fuzzy fractional-order controller for a class of nonlinear systems with incipient actuator and system component faults is introduced in this study. The the (leak) are taken into account using an additive model. Interval Type-2 Fuzzy Sets (IT2FS) used to design optimal fractional order controller, two different nature inspired metaheuristic algorithms, Follower Pollination Algorithm (FPA) Genetic (GA), optimize parameters PID Tilt-Integral-Derivative Controller (IT2FTID) system. suggested control approach consists parts: Logic (IT2FLC) TID controller. Additionally, inputs IT2FLC also calibrated fine tuning β1 β2, respectively. stability proposed presented some conditions. In addition unknown dynamics, process disturbances, such as rapid changes variable, check efficacy scheme. Two conical two-tank level simulation case performance compared that widely recognized Proportional-Integral-Derivative (IT2FPID) Controller. Finally, scheme's fault-tolerant behaviour demonstrated fault-recovery time results statistical Z-tests both controllers, IT2FTID controller's effectiveness when IT2FPID existing passive fault tolerant controllers recent literature.