Development of improved inverse compensator for two-dimensional sensor

In this paper, we developed an improved inverse compensator to ameliorate the dynamic performance of the two-dimensional sensor. The main feature of the improved compensator is the use of a special state observer, which is designed on the state-space model the two-dimensional sensor. As the state-space model can fully describe the complex sensor, the obtained compensator will be more effective in compensating the output of the sensor. Besides, the compensator uses an ANN (artificial neural network) to approximate the imprecisely known nonlinear function, which makes it more applicable for compensating real sensors.