ahkab.bfpss¶
Brute-force periodic steady state analysis module
-
bfpss
(circ, period, step=None, points=None, autonomous=False, x0=None, mna=None, Tf=None, D=None, outfile=u'stdout', vector_norm=<function <lambda>>, verbose=3)[source]¶ Performs a PSS analysis employing the ‘brute-force’ algorithm
The time step is constant and IE will be used as DF.
Parameters:
- circ : Circuit instance
- the circuit to be simulated
- period : float
- the period of the solution
- step : float, optional
- the time step between consecutive points, it will be calculated if not provided
- points : int, optional
- the number of points to be used to sample one period, it will be calculated if not provided
- autonomous : bool, optional
- Is the circuit clocked or autonomously oscillating?
With the current implementation, setting
autonomous=True
will result in an exception being raised, autonomous circuits are not supported - x0 : ndarray, optional
- The initial guess to be used. (Experimental, needs work.)
- mna, D, Tf : ndarrays, optional
- The matrices describing the circuit may be supplied to speed up the solution, if available. If not supplied, they will be automatically calculated.
- vector_norm : function, optional
- The norm to be employed in the convergence checks. Defaults to the Inf norm.
- outfile : str, optional
- the output filename. Defaults to
'stdout'
. - verbose : int, optional
- Verbosity level on a scale from 0 (silent) to 6 (very verbose).
The
verbose
flag is automatically set is to zero ifdatafilename == 'stdout'
Note
step
andpoints
are mutually exclusive options:- if
step
is specified, the number of points will be automatically determined. - if
points
is set, the step will be automatically determined. - if none of them is set,
options.bfpss_default_points
will be used as value forpoints
andstep
computed accordingly.
Returns:
- sol : results.pss_solution
- The simulation results