A Composite Control Method for Permanent Magnet Synchronous Motor System with Nonlinearly Parameterized-Uncertainties

In many industrial practices, it needs a permanent magnet synchronous motor to provide enough torque, such as autonomous vehicle driving. the operation of motor, nonlinearly parameterized-uncertainties degrade control performances, causing instability speed and output torques. Based on analysis temperature effects friction torque model, composite controller is proposed in this paper which considers model uncertainties external disturbances. An adaptive involving an online time-varying scaling gain employed eliminate influence parameterized-uncertainties. addition, extended state observer (ESO) used estimate disturbance system estimated value compensate for feed-forward. Numerical simulation experiment are performed results show that method may alleviate performance degradation due Simultaneously, improve stability anti-disturbance capacities system.