Abstract
The proposed paper describes and experimentally validates a cascaded continuous and finite set model predictive control (CCF-MPC) algorithm for a mechatronic drive system. This approach is advantageous for the speed control of electrical drives in mechatronic systems with high requirements on the electrical and mechanical controlled system equally. CCF-MPC enables, on the one hand, the optimization of the steady-state current performance, as indicated by a reduced total harmonic distortion, and a highly dynamic current behavior by using the advantages and direct control nature of finite control set MPC. On the other hand, due to the integration of a continuous control set MPC concept, CCF-MPC allows a foresighted and active damping of mechanical oscillations in the load speed. This is beneficial for the overall predictive optimization of mechatronic systems (e.g., two-mass systems), which are present, e.g., for electrical drives in machine tools.11The research leading to these results has received funding from the Bavarian Ministry of Economic Affairs, Energy and Technology and is managed by VDI/VDE under grant agreement ESB048/004.
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