IF,DF — Integrator and filter methods
'ForwardEuler' | 'BackwardEuler' | 'Trapezoidal'
Integrator and filter methods for rate conversion of PID Controller block, each returned
as 'ForwardEuler', 'BackwardEuler', or 'Trapezoidal'. For continuous-time PID
blocks, the default methods are 'Trapezoidal' for both integrator and derivative filter.
For discrete-time PID blocks, IF and DF are determined by the Integrator method and
Filter method settings in the Simulink block. See the Discrete PID Controller and pid
reference pages for more details about integrator and filter methods.
Definitions
Tuned Blocks
Tuned blocks, used by the slTuner interface, identify blocks in a Simulink model whose
parameters are to be tuned to satisfy tuning goals. You can tune most Simulink blocks
that represent linear elements such as gains, transfer functions, or state-space models.
(For the complete list of blocks that support tuning, see “How Tuned Simulink Blocks Are
Parameterized” on page 10-36). You can also tune more complex blocks such as
SubSystem or S-Function blocks by specifying an equivalent tunable linear model
(Control System Toolbox).
Use tuning commands such as systune to tune the parameters of tuned blocks.
You must specify tuned blocks (for example, C1 and C2) when you create an slTuner
interface.
st = slTuner('scdcascade',{'C1','C2'})
You can modify the list of tuned blocks using addBlock and removeBlock.
To interact with the tuned blocks use:
- getBlockParam, getBlockValue, and getTunedValue to access the tuned block
parameterizations and their current values. - setBlockParam, setBlockValue, and setTunedValue to modify the tuned block
parameterizations and their values. - writeBlockValue to update the blocks in a Simulink model with the current values
of the tuned block parameterizations.
getBlockRateConversion