Analysis of the Boss MT2 Metal zone pedal (1)

I create a model of the Boss SD1 and the Ibanez TS9 some time ago. Now it’s time to get on modelling another pedal, the famous Boss MT2 Metal Zone.

There are many pages online that also analyse this pedal, but I’d like to start from the schema, split in independent pieces and analyze them with my Modelling  Lite tool. The end result will probably end up as a new plugin, but this is currently outside the scope of this new subserie.


Let’s start first with the full schema of this pedal.

Boss MT2 Metal Zone pedal schema
Boss MT2 Metal Zone pedal schema

When looking at the schema, there are two things that we can notice, which are repeated everywhere in the schema, and these are known as gyrators:


The transistor version is a low cost version of the opamp version and they are designed to replace an equivalent coil. But how much equivalent are they?

The perfect gyrator

 Let’s have a look at the perfect gyrator again:

The perfect gyrator

As there is only two resistors, one capacitor and one opamp, we can derive the equivalent complex impedance of the circuit and check it against a coil impedance.

We start from the Kirchhoff voltage equation, replace the voltages with the complex impedance, combine this with the equivalence between the voltage at the capacitor and the resistor around the opamp. Then we obtain: V = \frac{1+R_2Cjw}{1+R_1Cjw}R_1i.

This means that for small w, the perfect gyrator is equivalent to a resistor R_1 in series with a coil of value R_1R_2C, then for higher values of w, it turns back to a resistance of value R_2.

Let’s see the evolution of the amplitude and the phase of this impedance for C=47p, R_1=2.2k, R_2=100k. First the code:

import numpy as np
from scipy.signal import freqs
import matplotlib.pyplot as plt
c = 47.0e-9
r1 = 2.2e3
r2 = 100.0e3
a1 = [1.]
b1 = r1 * np.array((1., r2*c))[::-1]
a2 = np.array((1., r1*c))[::-1]
b2 = r1 * np.array((1., r2*c))[::-1]
w1, h1 = freqs(b1, a1, worN=np.logspace(1, 4.2, 10000))
w2, h2 = freqs(b2, a2, worN=np.logspace(1, 4.2, 10000))
plt.semilogx(w1, 20 * np.log10(abs(h1)), label="coil")
plt.semilogx(w2, 20 * np.log10(abs(h2)), label="gyrator")
plt.ylabel('Amplitude response [dB]')
plt.semilogx(w1, np.angle(h1), label="coil")
plt.semilogx(w2, np.angle(h2), label="gyrator")
view raw hosted with ❤ by GitHub

And now the results:

Amplitude comparison of the gyrator impedance
Angle comparison of the gyrator impedance

We can see that the gyrator starts deteriorating after a few hundred Hz, which is quite early in the audio spectrum. This will have an impact on the filters that are designed around it, even for a guitar.


So the perfect gyrator is similar to a resistor and a coil in low frequencies and to a resistor in high frequencies (instead of an open circuit). The question is: how does this impact the actual circuits in the MT2 circuit, and let’s at the same time compare it to the imperfect gyrator? Answer in the next post in this series!

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