![](bg7.png)
VSI
VMC + VSI
VSI
VMC + VSI
VSI
VMC + VSI
a) b) c)
Figure 7: Electromagnetic torque waveforms of PMSM fed by VSI and VMC + VSI in a steady-state for the related load
torque: a) ω
m
= 10rad/s, b) ω
m
= 50rad/s, c) ω
m
= 100rad/s.
5 CONCLUSIONS
It was found that neural network state feedback
controller can be successfully used to control non-
stationary and non-linear plant (i.e. PMSM fed by
VSI with VMC) in terms of torque ripple minimiza-
tion. Use of the proposed controller causes, that lin-
earization and decoupling process of the plant are not
needed. It was also found that DC voltage of the VSI
can be precisely controlled with the help of an addi-
tional VMC control system.
Based on 2 low-order low-pass filters adaptive for-
mula used to obtain an appropriate inverter gain with
respect to actual value of the reference velocity was
introduced.
Simulation test results confirm similar dynamic
performance and significant torque ripple minimiza-
tion of designed control system in comparison to
PMSM fed by VSI with stationary state feedback con-
troller - torque ripple factor is at least 30% smaller.
Experimental verification of the described con-
trol system with neural network based adaptive state
feedback controller and voltage matching circuit is
planned in the future.
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