Dynamic Models of Spherical Parallel Robots for Model-Based Control Schemes
This work provides essential dynamic models for improving control accuracy in spherical parallel robots, though it is incremental as it builds on existing formulation methods.
The paper derived explicit, linear, and Slotine-Li regressor dynamic formulations for spherical parallel robots to support model-based control and parameter identification, validated through case studies on ARAS-Diamond and 3-RRR robots using MSC-ADAMS software.
In this paper, derivation of different forms of dynamic formulation of spherical parallel robots (SPRs) is investigated. These formulations include the explicit dynamic forms, linear regressor, and Slotine-Li (SL) regressor, which are required for the design and implementation of the vast majority of model-based controllers and dynamic parameters identification schemes. To this end, the implicit dynamic of SPRs is first formulated using the principle of virtual work in task-space, and then by using an extension, their explicit dynamic formulation is derived. The dynamic equation is then analytically reformulated into linear and S-L regression form with respect to the inertial parameters, and by using the Gauss-Jordan procedure, it is reduced to a unique and closed-form structure. Finally, to illustrate the effectiveness of the proposed method, two different SPRs, namely, the ARAS-Diamond, and the 3-RRR, are examined as the case studies. The obtained results are verified by using the MSC-ADAMS software, and are shared to interested audience for public access.