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In
physics and engineering, the
time constant usually denoted by the Greek language letter
\tau, (tau), characterizes the
frequency response of a first-order, LTI system theory (LTI) system. Examples include electrical
RC circuits and RL circuits. It is also used to characterize the frequency response of various signal processing systems –
magnetic tapes,
radio transmitters and
radio receivers, record cutting and replay equipment, and
digital filters – which can be modelled or approximated by first-order LTI systems.
Other examples include time constant used in
control systems for integral and derivative action controllers, which are often pneumatic, rather than electrical.
Physically, the time constant represents the time it takes the system's
step response to reach approximately 63% of its final (asymptotic) value, ie about 37% below its final value.
Differential equation
First order LTI systems are characterized by the differential equation
{dV \over dt} = - \alpha V \,
where \ \alpha represents the
exponential decay constant and
V is a function of time
t
V \ = \ V(t) \,
The time constant is related to the exponential decay constant by
\tau = \ { 1 \over \alpha } \,
General Solution
The general solution to the differential equation is
V(t) \ = \ V_o e^{-\alpha t} \ = \ V_o e^{-t / \tau} \,
where
V_o \ = \ V(t=0) \,
is the initial value of
V.
Control Engineering
The diagram below depicts the exponential function y=Ae^{at} in the specific case where a
then
\tau={ 1 \over a}
The term \tau (tau) is referred to as the "time constant" and can be used (as in this case) to indicate how rapidly an exponential function decays.
Where:
t = time (generally always t>0 in control engineering)
A = initial value (see "specific cases" below).
Specific cases
1). Let t=0, hence y=Ae^0, and so y=A
2). Let t= \tau, hence y=Ae^{-1}, ≈ 0.37A
3). Let y=f(t)=Ae^{-{t \over \tau-->, and so \lim_{t \to \infty}f(t) = 0
4). Let t=5 \tau, hence y=Ae^{-5}, ≈ 0.0067A
After a period of one time constant the function reaches e-1 = approximately 37% of its initial value. In case 4, after five time constants the function reaches a value less than 1% of its original. In most cases this 1% threshold is considered sufficient to assume that the function has decayed to zero - Hence in control engineering a stable system is mostly assumed to have settled after five time constants as a rule of thumb.
Examples of time constants
Time constants in electrical circuits
In an
RL circuit, the time constant
\tau (in
seconds) is
\tau \ = \ { L \over R } \,
where
R is the resistance (in ohms) and
L is the inductance (in
henry (inductance)).
Similarly, in an
RC circuit, the time constant
\tau (in seconds) is:
\tau \ = \ R C \,
where
R is the resistance (in ohms) and
C is the
capacitance (in farads).
===Thermal time constant===
See discussion page.
Time constants in neurobiology
In an
action potential (or even in a passive spread of signal) in a neuron, the time constant
\tau is
\tau \ = \ r_{m} c_{m} \,
where
rm is the resistance across the membrane and
cm is the capacitance of the membrane.
The resistance across the membrane is a function of the number of open ion channels and the capacitance is a function of the properties of the
lipid bilayer.
The time constant is used to describe the rise and fall of the
action potential, where the rise is described by
V(t) \ = \ V_{max} (1 - e^{-t /\tau}) \,
and the fall is described by
V(t) \ = \ V_{max} e^{-t /\tau} \,
Where voltage is in millivolts, time is in seconds, and
\tau is in seconds.
Vmax is defined as the maximum voltage attained in the action potential, where
V_{max} \ = \ r_{m}I \,
where
rm is the resistance across the membrane and
I is the current flow.
Setting for
t =
\tau for the rise sets
V(
t) equal to 0.63
Vmax. This means that the time constant is the time elapsed after 63% of
Vmax has been reached.
Setting for
t =
\tau for the fall sets
V(
t) equal to 0.37
Vmax, meaning that the time constant is the time elapsed after it has fallen to 37% of
Vmax.
The larger a time constant is, the slower the rise or fall of the potential of neuron. A long time constant can result in temporal summation, or the algebraic summation of repeated potentials.
Radioactive half-life
The
half-life THL of a
radioactive decay isotope is related to the exponential time constant
\tau by
T_{HL} = \tau \cdot \mathrm{ln2} \,
See also
External links
- Conversion of time constant τ to cutoff frequency fc and vice versa
- All about circuits - Voltage and current calculations
de:Zeitkonstante
ja:時定数sv:Tidskonstant