Application of fuzzy LS-SVM in dynamic compensation on accelerometer sensors

A design method of the dynamic compensation for micro-silicon accelerometer sensors was presented, which was based on the fuzzy least squares support vector machine(fuzzy LS-SVM). According to the measurement data of the step response of the sensor and the reference model, the compensator was constructed by fuzzy LS-SVM regression algorithm which reduced the dynamic errors because of the limited bandwidth of micro-silicon accelerometer sensors. The method can overcome the local minima problem in dynamic compensation of neural networks and reduce the effect on model precision because of some extra essential data in standard LS-SVM which has a potential future in the field of measurement.