Perturbation Fuzzy Neural Fractional-order Sliding Mode Control of Micro Gyroscope

A perturbation fuzzy neural network (PFNN) fractional-order sliding mode control (FSMC)strategy is developed for a micro gyroscope system. The PFNN is used to identify the unknown system dynamics. A sine-cosine perturbation type membership function is employed to decrease the neural rule's uncertainty. The proposed controller includes a PFNN estimator and a FSMC, where the PFNN has two feedback loop, transmitting more complex information with the function of associative memory. Simulation results verified the validity of the proposed control method.