Adaptive neuron for moment of inertia and torque control based on state observer

Abstract

In this article, a simple self-adaptive neuron based on a position state observer has been proposed to inhibit the influence of load disturbances and accomplish a self-adaptive correction of the moment of inertia. In the process of inertial correction, the error of the position state observer is gradually reduced that facilitates the simultaneous optimisation of the position observer and moment of inertia. Furthermore, it allows accurate prediction of the position value by the position state observer in the subsequent control cycle. Simulations and experiments indicate that the designed controller performs with better adaptive response and robustness compared to the controller that does not implement the proposed method, and that the position state observer estimates the position accurately, a response associated with numerous advantages for practical applications.

Model-based model predictive control for a direct-driven permanent magnet synchronous generator with internal and external disturbances

“…Considering the principle about aerodynamics (Wang et al, 2017), wind turbine transforms wind energy into mechanical energy…”

Harmonic error observation of permanent magnet synchronous motor and its angle lag compensation method

“…Wang et al proposed a simple adaptive neuron of position state observer to suppress the influence of load disturbance and realize the adaptive correction of inertia moment. 24…”

“…Wang et al proposed a simple adaptive neuron of position state observer to suppress the influence of load disturbance and realize the adaptive correction of inertia moment. 24 During the operation of the motor, the lag caused by the torque fluctuation has an adverse effect on the response characteristics of the control system. In this paper, the response characteristics of control system caused by torque harmonics of 12 stage 18 slot motor are analyzed and compensated.…”