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New design for the high‐performance drive system for DC brushless motor
Author(s) -
Itoh Yuzo,
Naitoh Yoshitaka,
Tsuchiya Takeshi
Publication year - 1994
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.4391140312
Subject(s) - dc motor , motor drive , control theory (sociology) , torque , motor controller , robustness (evolution) , control engineering , vector control , electronic speed control , control system , brushed dc electric motor , motor control , computer science , ac motor , component (thermodynamics) , synchronous motor , engineering , universal motor , direct torque control , electric motor , induction motor , control (management) , voltage , electrical engineering , power (physics) , mechanical engineering , artificial intelligence , chemistry , biology , biochemistry , quantum mechanics , thermodynamics , physics , neuroscience , gene
The dc brushless motor, permanent magnet‐type synchronous motor (PM motor), has been used widely in industrial robots, the machine tools for factory, and factory automations. Therefore, it is more desirable to improve the performance of the PM motor variable speed control system. Although only the torque component current is adjusted as the control method for the PM motor, so‐called Vector Control, it is expected that the developed characteristics will be added to the PM motor. In this paper, new driving methods for the PM motor and a new design method for the variable speed control system are presented. The new motor driving methods which bring to the PM motor a new driving performance, e.g., a quick transient response or high‐efficiency motor driving, can be implemented by controlling not only the torque component current, but also the magnetizing component current. A developed optimal control theory, i.e., the error system technique, is employed for designing the control system. The control law is endowed with a steady robustness against the variation of the system parameters and the ability of compensating the delay time due to the control processing. The effectiveness of the proposed method is confirmed by simulations and experiments.