Study on technique of measurement error compensation for position measurement device of the microwave chamber motion platform system based on fuzzy neural network

Taking the position measurement device of the microwave chamber motion platform system as object, this paper has analyzed the factors that influence the measurement accuracy of the position measurement device. To reduce the measurement error caused by these complicated and nonlinear factors, the measurement error compensator based on fuzzy neural network is developed. The fuzzy operations are performed to generate the learning error signal. In the learning process, the neural network approximates the measurement error by using the learning error signal. To avoid the possible oscillation and saturation in the learning process, the cut object learning method is used; to enhance the compensation precision, the cut subsection compensation method is developed.