- The over-whole MT2 tone (and the bass variation)
- The MT2 pedal sections: analysis
- Analysis of the Boss MT2 Metal Zone pedal (2)
- How to model an opamp? (the implications on simulation)
- Should I invert my matrix or not?
- Analysis of the Boss MT2 Metal zone pedal (1)
- From netlist to code: strategies to implement schematics modelling results
- From netlist to code: strategies to implement schematics modelling
- Analog modelling: The Moog ladder filter emulation in Python
- Analog modelling: A prototype generic modeller in Python
- Comparing preamps
- Triode circuit
- SD1 vs TS9

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.

###### Schema

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

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:

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: .

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

Let’s see the evolution of the amplitude and the phase of this impedance for , , . 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.xlabel('Frequency') | |

plt.ylabel('Amplitude response [dB]') | |

plt.legend() | |

plt.grid() | |

plt.figure() | |

plt.semilogx(w1, np.angle(h1), label="coil") | |

plt.semilogx(w2, np.angle(h2), label="gyrator") | |

plt.xlabel('Frequency') | |

plt.ylabel('Angle') | |

plt.legend() | |

plt.show() |

And now the results:

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.

###### Conclusion

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!