Neuro-genetic Input-output Linearization Control of Permanent Magnet Synchronous Motor
نویسندگان
چکیده
By rapid development of semiconductor and commands strategies as vector control (VC), direct torque control (DTC) and input-output linearization (IOL) a permanent magnet synchronous motors (PMSM) have gained variety industrial applications. This paper combines the application of neuro-genetic (NG) with input-output linearization techniques to control the PMSM. The use of a genetic algorithm is particularly appropriate to find the optimal values of placing pole. The neuro space vector modulation is also used to prove more the performance of soft computing. A comparative study between intelligent VC with a proposed approach shows that not only these techniques has been improved but also IOL control reduces speed, flux and stator current ripples.
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