Second-Order Filter

Discrete-time or continuous-time low-pass, high-pass, band-pass, or band-stop second-order filter

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Libraries:
Simscape / Electrical / Control / General Control

Description

The Second-Order Filter block implements different types of second-order filters. Filters are useful for attenuating noise in measurement signals.

The block provides these filter types:

• Low pass — Allows signals, $f$, only in the range of frequencies below the cutoff frequency, $f_c$, to pass.

• High pass — Allows signals, $f$, only in the range of frequencies above the cutoff frequency, $f_c$, to pass.

• Band pass — Allows signals, $f$, only in the range of frequencies between two cutoff frequencies, $f_{c1}$ and $f_{c2}$, to pass.

• Band stop — Prevents signals, $f$, only in the range of frequencies between two cutoff frequencies, $f_{c1}$ and $f_{c2}$, from passing.

Filter Type	Frequency Range, $f$
Low-Pass		$f<f_c$
High-Pass		$f>f_c$
Band-Pass		$f_{c1}<f<f_{c2}$
Band-Stop		$f_{c1}<f<f_{c2}$

Equations

The second order derivative state equation for the filter is:

$\frac{d^{2}x}{d{t}^2}=u-2\zeta {\omega }_n\frac{dx}{dt}-{\omega }_n^{2}x$

Where:

• x is the filter internal state.

• u is the filter input.

• ω_n is the filter natural frequency.

• ζ is the filter damping factor.

For each filter type, the table maps the block output, $y(x)$, as a function of the internal state of the filter, to the s-domain transfer function, $G(s)$.

Filter Type	Output, $y(x)$	Transfer Function, $G(s)$
Low-Pass	${\omega }_n^{2}x$	$\frac{{\omega }_n^2}{s^2+2\zeta {\omega }_{n}s+{\omega }_n^2}$
High-Pass	$\frac{d^{2}x}{d{t}^2}$	$\frac{s^2}{s^2+2\zeta {\omega }_{n}s+{\omega }_n^2}$
Band-Pass	$2\zeta {\omega }_n\frac{dx}{dt}$	$\frac{2\zeta {\omega }_{n}s}{s^2+2\zeta {\omega }_{n}s+{\omega }_n^2}$
Band-Stop	$\frac{d^{2}x}{d{t}^2}+x$	$\frac{s^2+{\omega }_n^2}{s^2+2\zeta {\omega }_{n}s+{\omega }_n^2}$

For Initialization:

$\dot{x}(0)={\frac{dx}{dt}|}_{t=0}$

$u\left(0\right)=u_1\left(0\right)+u_2(0)$

$u_1\left(0\right)=A_0{e}^{j{\phi }_0}$

$u_2\left(0\right)=b_0{e}^{j\frac{\pi }{2}}$

Where:

• $x(0)$ is the initial state of the filter.

• $u(0)$ is the initial input to the filter.

• $u_1(0)$ is the AC component of the steady-state initial input.

• $A_0$ is the initial amplitude.

• ${\phi }_0$ is the initial phase.

• $u_2(0)$ is the DC component of the steady-state initial input.

• $b_0$ is the initial bias.

In the s-domain $s=j{\omega }_0$. Therefore, for the initial frequency, ${\omega }_0$:

$\dot{x}(0)=Im\left(\frac{j{\omega }_0{u}_1\left(0\right)}{-{\omega }_0^2+j{\omega }_{0}2\zeta {\omega }_n+{\omega }_n^2}\right).$

$$x(0)=Im\left(\frac{\dot{x}\left(0\right){\omega }_n^2}{j{\omega }_0}+u_2\left(0\right)\right)$$

Examples

Three-Phase Matrix Converter with Venturini Modulation

Use Venturini modulation techniques to compute the duty cycles and logic statements of a three-phase matrix converter that drives a static load. The control subsystem implements three different modulation algorithms: Venturini modulation, third harmonic enhanced Venturini modulation, and third harmonic injection Venturini modulation with unity input displacement factor. The maximum voltage transfer ratio between input and output depends on the modulation technique and it is equal to either q=0.5 or q=0.866. The Scope blocks show the voltages and currents V_ABC, V_abc, I_ABC, and I_abc, where _UPPERCASE is used for inputs and _LOWERCASE for outputs.

• Open Model

Ports

Input

u — Filter input

scalar

Filter input.

Data Types: single | double

Output

y — Filtered output

scalar

Filtered output.

Data Types: single | double

Parameters

Main

Filter type — Filter type

Low-pass (default) | High-pass | Band-pass | Band-stop

Type of second-order filter.

Natural frequency (Hz) — Natural frequency

60 (default) | positive scalar

Natural frequency, in Hz.

Initial Conditions

Damping factor — Damping factor

0.707 (default) | nonnegative scalar

Damping factor of the filter.

Sample time (-1 for inherited) — Block sample time

-1 (default) | 0 | positive scalar

Time between consecutive block executions. During execution, the block produces outputs and, if appropriate, updates its internal state. For more information, see What Is Sample Time? and Specify Sample Time.

For inherited discrete-time operation, set this parameter to -1. For discrete-time operation, set this parameter to a positive integer. For continuous-time operation, set this parameter to 0.

If this block is in a masked subsystem or a variant subsystem that supports switching between continuous operation and discrete operation, promote this parameter to ensure correct switching between the continuous and discrete implementations of the block. For more information, see Promote Block Parameters on a Mask.

Initial amplitude — Initial amplitude

0 (default) | nonnegative scalar

Amplitude at the start of simulation.

Initial phase (rad) — Initial phase

0 (default) | nonnegative scalar

Phase, in rad, at the start of simulation.

Initial frequency (Hz) — Initial frequency

0 (default) | scalar

Frequency, in Hz, at the start of simulation.

Initial bias — Initial bias

0 (default) | nonnegative scalar

Bias at the start of simulation.

References

[1] Agarwal, A. and Lang, J. H. Foundations of Analog and Digital Electronic Circuits. New York: Elsevier, 2005.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using Simulink® Coder™.

Version History

Introduced in R2018b