hello all,

I just get into a project about BLDC motor state and parameter estimation using Kalman Filter. And I have already finished the
calculation of KF, now the problem is to estimate or tune the KF
measurement error covariance R.

I read some materials and also my boss told me it is possible to estimation R in a practical way, and I assume, I should take some sample measurements and estimation of the motor states or parameters to determine the variace of the measurement noise, that is something like: varERROR=f(x-\hat x).

But I really dont know how to achieve this 'practical estimation of R' in PRACTIC.

Anyone knows how to deal with that??

I appreciate any help:-)

Emily

I just get into a project about BLDC motor state and parameter estimation using Kalman Filter. And I have already finished the

I read some materials and also my boss told me it is possible to estimation R in a practical way, and I assume, I should take some sample measurements and estimation of the motor states or parameters to determine the variace of the measurement noise, that is something like: varERROR=f(x-\hat x).

But I really dont know how to achieve this 'practical estimation of R' in PRACTIC.

Anyone knows how to deal with that??

I appreciate any help:-)

Emily