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Abstract— Error analysis of a resistive sensor-to-microcon-troller interface based on pulse-width modulation and time–ratio measurement shows that internal input and output resistances in microcontroller digital ports produce zero, gain and nonlinearity errors.
Guay (1996) introduced a nonlinearity measure based on the evaluation of the in- duced local curvature of the process response assuming a process can be represented by a twice-differentiable process map.
28 Φεβ 2014 · The finite element method and particle swarm optimization are combined for the sensor design to get the minimal nonlinearity error. In the simulation, the nonlinearity error of the optimized sensor is 0.053% in the angle range from −60° to 60°.
trical circuits, mechanical systems, control systems, and other engineering disciplines, they need to be able to use a wide range of nonlinear analysis tools. Despite the fact that these tools have developed rapidly since the mid 1990s, nonlinear control is still largely a tough challenge.
1 Οκτ 2018 · This study has addressed the nonlinearity problem prevalent in analog voltage measurement of a single sensor based DIC by proposing an optimized error compensation technique. The proposed technique has been compared with the ideal ADC and promising results were achieved.
Some shortcomings of nonlinear systems with hysteresis are relatively big errors, e.g. linearity error, hysteresis error, etc. The paper deals with possible improvements in the methods of error suppression by using neural networks. Another aim of the paper is evaluation of measurement uncertainty.
28 Φεβ 2014 · Using the finite element method (FEM) and particle swarm optimization (PSO), a nonlinearity analysis based on parameter optimization is proposed to design an inductive angle sensor.
