In this thesis a holistic concept for the model-based trajectory tracking control of a special class of parallel robots - containing functional or structural redundancies (complex parallel robots) - is introduced. Since for these robots - due to the high complexity of their dynamic models - sophisticated model-based strategies for trajectory tracking control cannot be directly applied, a new concept is necessary. It mainly bases upon the derivation of real-time implementable compact dynamic models for the studied class of robots. But compact dynamic models are only a first step on the way to a model-based trajectory tracking control with high path accuracy and a low traveling time. Additionally, appropriate designed trajectories are required. For planning them a new strategy has been developed and successfully applied.
The holistic approach covering also aspects like parameter identification and velocity estimation has been successfully demonstrated at a planar parallel robot including experimental results.