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Model-based control strategies for systems with constraints of the program type
Affiliation:1. School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, PR China;2. Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100088, PR China;3. State Key Laboratory of Explosion Science and Technology, Beijing Institute of Technology, Beijing 100081, PR China;4. Graduate School of China Academy of Engineering Physics, Beijing 100088, PR China
Abstract:The paper presents a model-based tracking control strategy for constrained mechanical systems. Constraints we consider can be material and non-material ones referred to as program constraints. The program constraint equations represent tasks put upon system motions and they can be differential equations of orders higher than one or two, and be non-integrable. The tracking control strategy relies upon two dynamic models: a reference model, which is a dynamic model of a system with arbitrary order differential constraints and a dynamic control model. The reference model serves as a motion planner, which generates inputs to the dynamic control model. It is based upon a generalized program motion equations (GPME) method. The method enables to combine material and program constraints and merge them both into the motion equations. Lagrange’s equations with multipliers are the peculiar case of the GPME, since they can be applied to systems with constraints of first orders. Our tracking strategy referred to as a model reference program motion tracking control strategy enables tracking of any program motion predefined by the program constraints. It extends the “trajectory tracking” to the “program motion tracking”. We also demonstrate that our tracking strategy can be extended to a hybrid program motion/force tracking.
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