An adaptive inverse control algorithm is proposed for shock testing an arbitrary specimen using an electrodynamic actuator. The purpose is to ascertain whether the specimen can survive and continue to function under s...
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An adaptive inverse control algorithm is proposed for shock testing an arbitrary specimen using an electrodynamic actuator. The purpose is to ascertain whether the specimen can survive and continue to function under severe shock conditions. The main difficulty in shock control is that the specimen dynamics vary significantly and a controlalgorithm is required that adapts to the characteristics of a new specimen. The controlalgorithm used is the adaptiveinversecontrol method, which approximates an inverse model of the loaded shaker with a finite impulse response adaptive filter, such that the reference input is reproduced at the shaker output. The standard filtered-x least mean square control structure used in the adaptive inverse control algorithm is modified to a block-processing structure, with the frequency-domain adaptive filter as the adaptation algorithm. Practical results show that the filtered-x frequency-domain adaptive filter controlalgorithm allows convergence of the shaker output to the assigned reference shock pulse.
An adaptive inverse control algorithm is proposed by combining fast online support vector machine regression (SVR) algorithm with straight inversecontrolalgorithm. Because training speed of standard online SVR algor...
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An adaptive inverse control algorithm is proposed by combining fast online support vector machine regression (SVR) algorithm with straight inversecontrolalgorithm. Because training speed of standard online SVR algorithm is very slow, a kernel cache-based method is developed to accelerate the standard algorithm and a new fast online SVR algorithm is obtained. Then the new algorithm is applied in straight inversecontrol for constructing the inverse model of controlled system online, and output errors of the system are used to control online SVR algorithm, which made the whole control system a closed-loop one. Simulation results show that the new algorithm has good control performance. (c) 2006 Elsevier B.V. All rights reserved.
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