In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based control is proposed for the tracking of a Micro-Electro Mechanical Systems (MEMS) gyroscope sensor. The ANFIS is used to train parameters of the controller for tracking a desired trajectory. Numerical simulations for a MEMS gyroscope are looked into to check the effectiveness of the ANFIS control scheme. It proves that the system using the proposed ANFIS controller has better tracking performance than that using only a fuzzy control or Neural network approach to control over the existence of external perturbations.
Rakhshan, M., Shabani-nia, F., & ShaSadeghi, M. (2015). ANFIS Approach for Tracking Control of MEMS Triaxial Gyroscope. Modeling and Simulation in Electrical and Electronics Engineering, 01(1), 35-40. doi: 10.22075/mseee.2015.240
MLA
Mohsen Rakhshan; Faridoon Shabani-nia; Mokhtar ShaSadeghi. "ANFIS Approach for Tracking Control of MEMS Triaxial Gyroscope". Modeling and Simulation in Electrical and Electronics Engineering, 01, 1, 2015, 35-40. doi: 10.22075/mseee.2015.240
HARVARD
Rakhshan, M., Shabani-nia, F., ShaSadeghi, M. (2015). 'ANFIS Approach for Tracking Control of MEMS Triaxial Gyroscope', Modeling and Simulation in Electrical and Electronics Engineering, 01(1), pp. 35-40. doi: 10.22075/mseee.2015.240
VANCOUVER
Rakhshan, M., Shabani-nia, F., ShaSadeghi, M. ANFIS Approach for Tracking Control of MEMS Triaxial Gyroscope. Modeling and Simulation in Electrical and Electronics Engineering, 2015; 01(1): 35-40. doi: 10.22075/mseee.2015.240
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