Application of conventional and AI-based techniques in sensorless high-performance torque-controlled induction motor drives

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Application of conventional and AI-based techniques in sensorless high-performance torque-controlled induction motor drives

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Discusses various techniques used in sensorless high-performance induction motor drives. The implementations use the TMS320C30 DSP. The techniques used include conventional and artificial intelligence-based methods and experimental results are shown for various sensorless vector and direct-torque-controlled drives. (7 pages)

Inspec keywords: fuzzy neural nets; velocity control; self-adjusting systems; induction motor drives; fuzzy control; neurocontrollers; digital signal processing chips; position control; observers; adaptive control; variable speed drives; machine control

Subjects: Fuzzy control; Neurocontrol; Digital signal processing; Simulation, modelling and identification; Self-adjusting control systems; Control of electric power systems; Spatial variables control; Asynchronous machines; Velocity, acceleration and rotation control; Power engineering computing; Neural nets (theory); Control engineering computing; Drives; Neural computing techniques

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