How to create custom Closed Loop Margin based on the Complementary Sensitivity Function in Systune TuningGoal?
I want to have a hard constraint for my system that puts a constraint on the dynamic margin (generalized delay margin) of the entire system. Mathemathically, the constraint is formulated as follows.
(1)
Where is the complementary sensitivity function of the systems input. I have a similar hard constraint on the sensitivity function:
(2)
And this should be implemented by using TuningGoal.LoopShape as follows.
Hardreq2 = TuningGoal.LoopShape("u",1/0.5,1)
The problem with the first requirement I think is the additional term in the norm. I do not know how to set up this constraint properly. Can anyone help me out?I want to have a hard constraint for my system that puts a constraint on the dynamic margin (generalized delay margin) of the entire system. Mathemathically, the constraint is formulated as follows.
(1)
Where is the complementary sensitivity function of the systems input. I have a similar hard constraint on the sensitivity function:
(2)
And this should be implemented by using TuningGoal.LoopShape as follows.
Hardreq2 = TuningGoal.LoopShape("u",1/0.5,1)
The problem with the first requirement I think is the additional term in the norm. I do not know how to set up this constraint properly. Can anyone help me out? I want to have a hard constraint for my system that puts a constraint on the dynamic margin (generalized delay margin) of the entire system. Mathemathically, the constraint is formulated as follows.
(1)
Where is the complementary sensitivity function of the systems input. I have a similar hard constraint on the sensitivity function:
(2)
And this should be implemented by using TuningGoal.LoopShape as follows.
Hardreq2 = TuningGoal.LoopShape("u",1/0.5,1)
The problem with the first requirement I think is the additional term in the norm. I do not know how to set up this constraint properly. Can anyone help me out? tuninggoal, tuninggoal.loopshape, systune, matlab, sltuner MATLAB Answers — New Questions