PSD replication of a shaking table based on adaptive inverse control

Adaptive inverse control (AIC) method was introduced to identify the impedance function of a hydraulic shaking table online, it was also beneficial to improve the accuracy and real-time processing of its power spectral density (PSD) replication. The AIC system identification technology in both time domain and frequency domain was deduced after the introduction of power spectral density equalization principle. The inverse computation to obtain the system impedance function often applied in traditional methods was not employed in this technology. The control power spectral density was modified using the results of the system impedance function estimated with the proposed technology more efficiently than with traditional methods. A hardware platform with multi-processor was introduced to accomplish the proposed algorithm. The different real time tasks were assigned to different processors. The dual port RAM was applied to fulfill the data sharing among the processors. The results of simulation showed that the proposed algorithm is efficient in PSD replication process of the shaking table. Meanwhile, the result of AIC in frequency domain is more desirable than that in time domain.