Sensorless position detection of reluctance spherical motors based on inductive characteristics
To achieve rotor attitude detection of spherical motors usually requires the installation of position sensors on the rotor shaft or stator housing,these sensors occupy a large space and cause negative effects for the practical installation and application of spherical motors.A sensorless position detection method for reluctance spherical motors based on the structure and operating characteristics of reluctance spherical motors is proposed.The stator coil inductance data at different rotor attitude angles is detected in real-time,and then,the position prediction model is built using an extreme learning machine(ELM)algorithm.Through comparative validation,it is demonstrated that the rotor attitude angle obtained by this method has highly precision and provides a feasible idea for the control and application of reluctance spherical motors.
spherical motorthree-degrees-of-freedom(3-DoF)extreme learning machine(ELM)sensorless position detection
NETL
NSTL
万方数据
维普
