An IPMSM Control Structure Based on a Model Reference Adaptive Algorithm

Traditional construction machinery has the disadvantages of low energy efficiency and poor emissions, which do not meet requirements environmentally friendly industrial development. Electric attracted more attention because its advantages zero emissions high efficiency, are considered to be important factors in future development machinery. Preliminary attempts introduce electric motors into usually only adopt motor for simulating working mode engine, with it providing power system. Because output needs matched actual load through transmission hydraulic torque converter, is difficult maximize drive. This paper studied direct drive technology within presents a model reference adaptive algorithm (MRAA) based on maximum per ampere (MTPA)-vector control an internal permanent magnet synchronous (IPMSM). The was established, real-time dynamic value obtained voltage current as inputs. Simulations MATLAB/Simulink verified feasibility this method. results indicate that MRAA can identify flux linkage d-q axis inductance 50 ms real time, error controlled 2%. Additionally, when operates at speed, compared traditional MTPA under fixed-parameter control, starting ripple IPMSM method adaptation reduced 23.8%, proves achieve good low-speed response characteristics stability.