Input reshaper parameter self-tuning control method based on particle swarm optimization algorithm
A particle swarm optimization, parameter self-tuning technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve problems such as heavy load mass, drive shaft impact, and difficulty in tuning.
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[0027] The present invention is a control method for self-tuning of input shaper parameters based on particle swarm optimization, referring to figure 1 , when the input signal enters the mechanical system online, the velocity motion curve of the output shaft is collected, and then the particle swarm optimization algorithm is used to optimize the parameters of the input shaper offline according to the collected curve, and then the optimized input shaper is used for feedforward control of the mechanical system. In this way, the frequency point resonating with the actuator in the starting signal can be filtered out, and the torsional vibration of the system can be greatly suppressed while the dynamic performance can be relatively small sacrificed to achieve a fast vibration-free response of the system. .
[0028] Particle swarm offline optimization methods such as figure 2 As shown, the bridge between the particle swarm optimization algorithm and the simulink model is the parti...
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