Turntable servo system self-adaptive identification method based on identification error limitation
A self-adaptive identification and servo system technology, applied in the field of nonlinear system identification, can solve the problems of not considering the impact and poor transient performance of the identification algorithm, so as to avoid violent fluctuations and improve the performance of parameter identification
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Embodiment 1
[0083] Embodiment 1: An adaptive identification method for a turntable servo system based on identification error limitation, which specifically includes the following steps:
[0084] Step 1, establish the dynamic model of the turntable servo system
[0085] The turntable servo system is an automatic control system that coordinates multiple components with different characteristics to complete a given goal. The components include drive motors, transmission components and loads. The drive system is driven by the transmission components, so that the system position or speed can accurately track the reference signal , according to its structural composition and first-principle modeling principles, the dynamic equation of the turntable servo system is:
[0086]
[0087] In the formula, q, Describe the displacement and speed of the motor respectively, and J describe the inertia kg / m of the motor 2 ,T f , T l , T m describe the friction, payload and torque respectively, R ...
Embodiment 2
[0141] Embodiment 2: This embodiment is a specific example. The adaptive identification method of the turntable servo system based on the identification error limitation described in Embodiment 1 is used to perform parameter identification on the system parameters, and the obtained model is verified and predicted based on the sinusoidal reference signal. Effect; the designed adaptive filter adjusts the filtering effect in real time according to the difference of the filtered signal, effectively eliminating the adverse effects of noise; the adaptive attenuation factor forgets the old data in real time, avoiding the problem of data flooding; design based on parameter identification error information The parameter adaptive law reduces the running time of the algorithm and improves the efficiency; based on the error limited technology, constraints are imposed on the identification error to improve the transient performance of the parameter identification.
[0142] The identificatio...
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