Experimental investigations of mechanical and reaction responses for drop-weight impacted energetic particles 
期刊名称Acta Mechanica Sinica
作者Fabian Schnelle; Peter Eberhard
摘要This paper presents a novel adaptive nonlinear model predictive control design for trajectory tracking of flexible-link manipulators consisting of feedback linearization, linear model predictive control, and unscented Kalman filtering. Reducing the nonlinear system to a linear system by feedback linearization simplifies the optimization problem of the model predictive controller significantly, which, however, is no longer linear in the presence of parameter uncertainties and can potentially lead to an undesired dynamical behaviour. An unscented Kalman filter is used to approximate the dynamics of the prediction model by an online parameter estimation, which leads to an adaptation of the optimization problem in each time step and thus to a better prediction and an improved input action. Finally, a detailed fuzzy-arithmetic analysis is performed in order to quantify the effect of the uncertainties on the control structure and to derive robustness assessments. The control structure is applied to a serial manipulator with two flexible links containing uncertain model parameters and acting in threedimensional space.
关键词Model predictive control; Feedback linearization; Unscented Kalman filter; Flexible-link manipulator; Fuzzy-arithmetical analysis
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作者地址Institute of Engineering and Computational Mechanics, University of Stuttgart, 70569 Stuttgart, Germany

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