Field-oriented control of induction motors using artificial neural networks

• Main Author: Miao, Hua Chun.
• Other Authors: W. W. L. Keerthipala
• Format: Theses and Dissertations
• Language: English
• Published: 2009
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
• Online Access: http://hdl.handle.net/10356/19672
• Institution: Nanyang Technological University

An induction motor is the undisputed workhorse of industry and thus becomes the preferred choice in the variable-speed drive business. Its cost is low, maintenance is easy and the technology required to manufacture it is not advanced, but it lacks in precise controllability as the field-producing and torque-producing components of its stator current are linked. It was not until the advent of the field-oriented control that the dynamic performance of the AC drive could be made to match that of the DC drives. The field-oriented control essentially allows separate control of the excitation-producing and torque-producing components of the stator current. Selecting a synchronously rotating frame of reference with the rotor magnetizing current being the reference phasor, it is mathematically possible to split the stator current into two independent components Id and Iq respectively controlling the field and the torque.