Dynamic Modeling of Linear Actuator Using Fuzzy System to Approximate Magnetic Characteristics

摘要

This paper proposes a dynamic model of a linear actuator using a fuzzy system to approximate its magnetic subsystem. Magnetic characteristics of the linear actuators indicate a nonlinear behavior, making the whole system complex. Deriving an accurate and proper model, results in the implementation of different control methods in the simulation procedure. This research developed dynamic equations of linear actuator with closed type magnetic circuit. Due to high capabilities of fuzzy approximators in the modeling of nonlinear systems, they are employed to approximate the magnetic subsystem of the linear actuator. According to the results, the model described in this paper, shows significant improvements in comparison with the previous models. Moreover, the proposed model apart from the nominal area, could accurately predict the behavior of linear actuator for out of the nominal operation area. This matter is important in transient situations and short-term overloads. High accuracy and performance is obviously demonstrated by comparing experimental and simulation results both in static and dynamic features.