Hybrid cheetah and artificial rabbits optimisation algorithm for micro electro mechanical system

In this manuscript, a hybrid cheetah and artificial rabbits optimisation algorithm fostered digital control systems for micro electro mechanical systems gyroscope (MEMS-GYS-HCO-ARO) is proposed. In this method, the design procedure starts by designing a closed loop control systems for the micro electro mechanical systems gyroscope and loop parameters are optimised using hybrid algorithms. Initially, the loop parameters are optimised using HCO and ARO. Then, the dwarf mongoose optimisation algorithm and LMS demodulator are utilised for demodulating the noise signal. The performance of the proposed MEMS-GYS-HCO-ARO method attains amplitude analysis of 39.25%, 33.36% and 32.99% of lower amplitude compared with existing methods, like a design of micro electro mechanical systems gyroscope using hybrid optimisation algorithm (MEMS-GYS-HOA), digital control and readout of MEMS gyroscope with second-order sliding mode control (MEMS-GYS-SOSMC) and a digital closed loop sense MEMS disk resonator gyroscope circuit design based on integrated analogue front-end (DCLS-MEMS-IAF) respectively.