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Vector Speed Control of PMSM based on Lunberger di
2.5
In this project a Vector Speed controller is simulated for a Permanent Magnet Synchronous Motor. simple PI controllers are used in the current loops, while an extended disturbance observer based controller is designed for the speed loop. the structure of the speed controller is as follows
iq*=k(w * -z 1 )-z 2 /b 0 where z 1,2 are dynamic state of an observer as follows
dz 1 
snl 2016-08-23
snl 1 0
1
Effect of time delay on System Identification
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The BJ(Box-Jenkins) method is used to identify a discrete system as G(z)=0.0181z -11 /(1-1.8006z -1 +0.8187z -2 ). To identify this system the model is considered as Gm(z)=f(z)/(a1+a2z -1 +a3z -2 )where a,b,c are assumed to be unknown and f(z) is as follows
f(z)=b1+b2z -1 +b3z -2 +...bn k z -n k
where b1-bn k are also unknown and also n k is unknown. the system is identified for different n k 's and the results are compared.
A unit feed back with a simple PI controller is used achieve a stable system and some input-out put samples are available for identification.
snl 2 0
1
Nonlinear sytem identification
5.0
Three cost functions including Least square(I=sum(e^2)), maximum absolute (I=max|e|) and sum of absolutes (I=sum(|e|)) are used to estimate the parameters of a static nonlinear system.. the considered system is y=t 1 +t 2 x+t 3 x 3 +t 4 x 6 +N(0,sig)
where N is a gussian noise and t 1 -t 4 are unknown parameters to be estimated using the cost functions. the actual value of parameters are t=[-0.5 0.6 0.1 2]. also 1000 input-output samples are available which are the train and the test data. Genetic Algorithem is used to estimate the system parameters for the last two cost functions and the results are compared.
snl 1 0
1
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