Parameter optimization for a high-order band-pass continuous-time sigma-delta modulator MEMS gyroscope using a genetic algorithm approach

摘要: This paper describes a novel multiobjective parameter optimization method based on genetic algorithm (GA) for the design of sixth-order continuous-time, force feedback band-pass sigma-delta modulator (BP-ΣΔM) interface sense mode MEMS gyroscope. The procedure starts by deriving parameterized Simulink model BP-ΣΔM gyroscope interface. system parameters are then optimized GA. Consequently, is tested robustness Monte Carlo analysis to find solution that both optimal and robust. System level simulations result in signal-to-noise ratio (SNR) larger than 90 dB bandwidth 64 Hz with 200° s−1 angular rate input signal; noise floor about −100 dBV Hz−1/2. compared measured data from hardware implementation. For zero rotation operating at atmospheric pressure, spectrum output bitstream shows an obvious shaping deep notch resonant frequency. power spectral density (PSD) agrees well simulation model. bias stability, sensitivity nonlinearity controlled closed-loop 34.15° h−1, 22.3 mV °−1 s−1, 98 ppm, respectively. compares simple open-loop which corresponding values 89° 14.3 mV °−1 s−1, 7600 ppm, nonoptimized 60° 17 mV °−1 s−1, 200 ppm.