Dynamic parameter identification-based flywheel energy storage system rotor position detection method

Abstract

The invention discloses a dynamic parameter identification-based flywheel energy storage system rotor position detection method. The detection method comprises the steps of measuring a positioning torque value, a d-axis inductance value and a q-axis inductance value of an FSPM motor within an electric period, and importing the three values into off-line table of a control system firstly; next, performing online identification on the positioning torque value, the d-axis inductance value and the q-axis inductance value of the FSPM motor in an operating process by adopting a parameter self-learning identification algorithm-based <theta>-domain disturbance state observator; and finally, by taking the values obtained by online identification as known values, enabling the values to be matched with the off-line table to determine the rotor position information of the FSPM motor in an operating process. By enabling the off-line table, the nonlinear disturbance state observator and the self-learning identification algorithm to be combined together, the prediction value of the positioning torque of the FSPM motor can quickly and accurately follow an actual value, so that full-speed position-free accurate tracking of the FSPM motor for the flywheel energy storage system can be realized.

Description

technical field [0001] The invention relates to a rotor position detection method of a flywheel energy storage system based on dynamic parameter identification, which belongs to the FSPM motor control technology for the flywheel energy storage system. Background technique [0002] Energy is an important driving force for social progress and productivity development. With the rapid development of the global economy and the rapid growth of energy demand, traditional fossil energy consumption is huge and is going to be exhausted. Human beings are facing the severe test of energy crisis. In recent years, renewable energy technologies such as wind energy and solar power have developed rapidly, and renewable energy will occupy an extremely important position in the energy structure of the future power system. However, renewable energy itself is intermittent and random. If it is directly connected to the power system, it will seriously affect the power quality of the power system. ...

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Problems solved by technology

However, renewable energy itself is intermittent and random. If it is directly connected to the power system, it will seriously affect the power quality of the power system.

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