A1: By using a transfer function (that makes use of phasors).
Suppose you know that x(t)=Kcos(\omega t) and the linear differential equation with constant coefficients that relates your input to the output that you want to find.
First, we manipulate the differential equation:
a_n\frac{d^m}{{dt}^m}y(t)+a_{m-1}\frac{d^{m-1}}{{dt}^{m-1}}y(t)+...+a_1\frac{d}{dt}y(t)+a_0y(t)=
b_n\frac{d^n}{{dt}^n}x(t)+b_{n-1}\frac{d^{n-1}}{{dt}^{n-1}}x(t)+...+b_1\frac{d}{dt}x(t)+a_0y(t)
In a more compact form:
\sum\limits_{i=0}^ma_i\frac{d^i}{dt^i}y(t)=\sum\limits_{k=0}^nb_k\frac{d^k}{dt^k}x(t)
Now, you can use the fact that x(t)=Kcos(\omega t) by plugging in the corresponding phasor B multiplied by e^{j\omega t}. As you'd expect, taking the real part of the phasor gives you back the original sinusoidal input.
After substitution:
\sum\limits_{i=0}^ma_i\frac{d^i}{dt^i}y(t)=\sum\limits_{k=0}^nb_k\frac{d^k}{dt^k}Be^{j\omega t}
Even though there are complex coefficients, the equation is still linear. Hence, you can use the guess and check method to determine a solution.
Suppose that the real part of Ae^{j\omega t} corresponds to the output y(t).
After substitution:
\sum\limits_{i=0}^ma_i\frac{d^i}{dt^i}Ae^{j\omega t}=\sum\limits_{k=0}^nb_k\frac{d^k}{dt^k}Be^{j\omega t}
\sum\limits_{i=0}^ma_i(j\omega)^iAe^{j\omega t}=\sum\limits_{k=0}^nb_k(j\omega)^nBe^{j\omega t}
A\sum\limits_{i=0}^ma_i(j\omega)^i=B\sum\limits_{k=0}^nb_k(j\omega)^k
For neatness, you can define to polynomials:
1. P_D(j\omega)\equiv\sum\limits_{i=0}^ma_i(j\omega)^i
2. P_N(j\omega)\equiv\sum\limits_{k=0}^nb_k(j\omega)^k
AP_D(j\omega)=BP_N(j\omega)
We now define the transfer function, which captures the relationship between input and output:
H(j\omega)\equiv\frac{P_N}{P_D}
A=BH(j\omega)
Converting from the complex phasor corresponding to the output to the real output:
y(t)=Re\left\{Ae^{j\omega t}\right\}
y(t)=Re\left\{BH(j\omega)e^{j\omega t}\right\}
Q3: I noticed that A1 assumes the sinusoid input is a cosine. What about a sine input? Or a combination of the two?
A3: The following table relates sinusoid inputs to output of a dissipative, LTI system:
For neatness, you can define to polynomials:
1. P_D(j\omega)\equiv\sum\limits_{i=0}^ma_i(j\omega)^i
2. P_N(j\omega)\equiv\sum\limits_{k=0}^nb_k(j\omega)^k
AP_D(j\omega)=BP_N(j\omega)
We now define the transfer function, which captures the relationship between input and output:
H(j\omega)\equiv\frac{P_N}{P_D}
A=BH(j\omega)
Converting from the complex phasor corresponding to the output to the real output:
y(t)=Re\left\{Ae^{j\omega t}\right\}
y(t)=Re\left\{BH(j\omega)e^{j\omega t}\right\}
Q2: I thought the transfer function was ratio of the output to input. Is this new definition in A1 just the same way of saying this?
A2: No, the transfer function as defined in A1 is the ratio of the complex polynomial associated with the output to the complex polynomial associated to the input.
Q3: I noticed that A1 assumes the sinusoid input is a cosine. What about a sine input? Or a combination of the two?
A3: The following table relates sinusoid inputs to output of a dissipative, LTI system:
Input: x(t) | Output: y(t) |
---|---|
Acos(\omega t) =Re\left\{Ae^{j\omega t}\right\} | Re\left\{AH(j\omega)e^{j\omega t}\right\} |
Bsin(\omega t) =Re\left\{-jBe^{j\omega t}\right\} | Re\left\{-jBH(j\omega)e^{j\omega t}\right\} |
Acos(\omega t)+Bsin(\omega t) =Re\left\{(A-jB)e^{j\omega t}\right\} | Re\left\{(A-jB)H(j\omega)e^{j\omega t}\right\} |
Q4: Couldn't I write Bsin(\omega t) as Im\left\{Be^{j\omega t}\right\}?
A4: Yes, you could. And then y(t) would be Im\left\{BH(j\omega)e^{j\omega t}\right\}.
But for the sake of consistency, we will adopt the convention that uses the real part of the complex number.
No comments:
Post a Comment