Application of Adaptive Repeated Learning Algorithm In Dynamic Stress Test of Rock and Soil
The actuators of the geotechnical experiments machine and the pressured samples have the characteristics of non-linear and time-varying.So,for the periodicity tracking problem of the dynamic stress waveforms,an adaptive repetitive learning control algorithm is proposed based on the traditional PID control algorithm.Different calculation models and control parameters are added according to the different control processes.Furthermore,an adaptive repetitive learning controller is designed.The proportional difference method and the error mean method are used to adaptively adjust the proportional gain and the deviation,and the adaptive results are optimized by repetitive learning.The stability and convergence of the algorithm are verified by practical experiment,which ensures that the dynamic stress of the nonlinear load can accurately track the set dynamic waveform.At present,the algorithm has been applied to waveform tracking of sine wave and triangular wave for 1000 kN multi-function triaxial test instrument.
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维普
