4 research outputs found

    An instrumental variable method for robot identification based on time variable parameter estimation

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    This paper considers the data-based identiļ¬cation of industrial robots using an instrumental variable method that uses oļ¬€-line estimation of the joint velocities and acceleration signals based only on the measurement of the joint positions. The usual approach to this problem relies on a ā€˜tailor-madeā€™ preļ¬ltering procedure for estimating the derivatives that depends on good prior knowledge of the systemā€™s bandwidth. The paper describes an alternative Integrated Random Walk SMoothing (IRWSM) method that is more robust to deļ¬ciencies in such a priori knowledge and exploits an optimal recursive algorithm based on a simple integrated random walk model and a Kalman ļ¬lter with associated ļ¬xed interval smoothing. The resultant IDIM-IV instrumental variable method, using this approach to signal generation, is evaluated by its application to an industrial robot arm and comparison with previously proposed methods

    Special Issue on New Trends on Compex Systems:: Adaptation and Control

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    An instrumental variable method for robot identification based on time variable parameter estimation

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    summary:This paper considers the data-based identification of industrial robots using an instrumental variable method that uses off-line estimation of the joint velocities and acceleration signals based only on the measurement of the joint positions. The usual approach to this problem relies on a ā€˜tailor-madeā€™ prefiltering procedure for estimating the derivatives that depends on good prior knowledge of the system's bandwidth. The paper describes an alternative Integrated Random Walk SMoothing (IRWSM) method that is more robust to deficiencies in such a priori knowledge and exploits an optimal recursive algorithm based on a simple integrated random walk model and a Kalman filter with associated fixed interval smoothing. The resultant IDIM-IV instrumental variable method, using this approach to signal generation, is evaluated by its application to an industrial robot arm and comparison with previously proposed methods

    An instrumental variable method for robot identification based on time variable parameter estimation

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