FOC-based Speed Control Algorithms of Induction Motor Drive with System Parameter Mismatch

The field oriented control algorithms (FOC) of induction motor (IM) drives are generally sensitive to model parameter mismatch. Especially, the proper flux orientation and flux amplitude is influenced by the rotor/stator resistance values. Moreover, the rotor and stator resistances are temperature dependent and thus time-varying variables. The real-time testing of different kinds of FOC algorithms to parameter mismatch robustness is a difficult task. The motor parameters such as resistances, inductances, inertia etc. are not commonly tunable in the laboratory experiments. Furthermore, the IM fluxes are not commonly directly measured. The hardware in the loop (HIL) IM simulators operating real-time could be the right choice to FOC algorithms robustness testing. This paper describes the conventional cascade based FOC, feedback linearization based FOC and novel adaptive FOC algorithm tested on self-developed IM HIL FPGA-based platform. The paper presents both HIL based results and experimental results.