基于磁阻网络模型与PID控制的电磁作动器气隙自检测技术

在船舶隔振领域,目前大量使用电涡流传感器的做法增加了浮筏隔振系统失效的风险。在得到广泛应用的主被动混合隔振技术中,电磁作动器可被利用于气隙间距自检测技术以降低系统复杂度并可提升作动力输出稳定性。通过对实际作动器建立非线性磁阻网络模型并优化参数,衔铁与铁芯之间的气隙间距、流过线圈的电流与线圈两端电压的关系可以得到正确的描述。进一步,利用PID技术可避开求解非线性方程组的困难而得到气隙间距的估计值,实现浮筏装置各位置上作动器气隙间距测量的功能。

Air-gap displacement self-sensing technology based on reluctance network model and PID controller

To obtain higher reliability and less costs of active-passive vibration attenuation rafts including electromagnetic actuators as important devices,self-sensing technique based on reluctance network model and PID controller was developed.The structure of the model is built after looking carefully into the corresponding finite-element model(FEM)considering leakage.A system of nonlinear functions is formed with the same techniques as for an electric circuit.The parameters and the coefficients of the model are optimized by experiments,which guarantees the high accuracy of the output.To avoid nonlinearity of the functions,a PID controller was introduced to estimate the air-gap displacement.