Difference between revisions of "MATLAB amplifier in detail"
| Line 15: | Line 15: | ||
=== Unknown variables === | === Unknown variables === | ||
| − | There are twenty-four unknown variables. The locations (and directions in the case of currents) are labeled on the circuit diagram. | + | There are twenty-four unknown variables. The locations (and directions in the case of currents) are labeled on the circuit diagram. All unknowns are assumed to be of the form |
| + | : <math>X(t) = X_0 e^{i \omega t} + X_1</math>, | ||
| + | where <math>X_0</math> gives the amplitude of oscillation, or the AC component, and <math>X_1</math> gives the DC offset. | ||
* Node voltages: <math>V_1</math>, <math>V_2</math>, <math>V_3</math>, <math>V_4</math>, <math>V_5</math>, <math>V_7</math>, <math>V_{out}</math> | * Node voltages: <math>V_1</math>, <math>V_2</math>, <math>V_3</math>, <math>V_4</math>, <math>V_5</math>, <math>V_7</math>, <math>V_{out}</math> | ||
** Note: there is no <math>V_6</math> on this circuit; it was a redundant variable with <math>V_c</math>. | ** Note: there is no <math>V_6</math> on this circuit; it was a redundant variable with <math>V_c</math>. | ||
| Line 87: | Line 89: | ||
| RE || emitter resistance || 0.37<math>\Omega</math> || 1<math>\Omega</math> | | RE || emitter resistance || 0.37<math>\Omega</math> || 1<math>\Omega</math> | ||
|} | |} | ||
| + | |||
| + | == Equations == | ||
| + | |||
| + | There are five categories of equations, which give a set of twenty-four equations in total. Two categories of equations are non-linear and need to be linearized to solve this system as a linear model using matrices. | ||
| + | |||
| + | === Resistor voltage drop === | ||
| + | |||
| + | The resistor voltage drop equations all take the form | ||
| + | : <math>\Delta V = IR</math> | ||
| + | or | ||
| + | : <math>V_\alpha - IR = V_\beta</math>. | ||
Revision as of 18:35, 2 July 2007
The model of the SiPM amplifier is a system of 24 equations in 24 variables that has been linearized so that it can be solved by MATLAB.
Parameters and variables
The MATLAB model has a number of parameters and variables to describe the amplifier circuit, including the 24 unknowns, 4 inputs, and numerous constants.
Input parameters
There are four input parameters:
- Input current: (A)
- Bias voltage: (V)
- Power voltage: (V)
- Frequency: (Hz)
Unknown variables
There are twenty-four unknown variables. The locations (and directions in the case of currents) are labeled on the circuit diagram. All unknowns are assumed to be of the form
- ,
where gives the amplitude of oscillation, or the AC component, and gives the DC offset.
- Node voltages: , , , , , ,
- Note: there is no on this circuit; it was a redundant variable with .
- Resistor currents: , , , , , , ,
- Transistor currents: , , , , ,
- Capacitor currents: , ,
Constants
Resistors
The resistance values are mostly the same as those marked on the actual amplifier itself, however and were changed for better agreement of the model with the desired responses. See the article on the actual SiPM Amplifier for details on that circuit.
| Component | Resistance |
Capacitors
The capacitors are not labeled on the amplifier itself or in the documentation supplied with the amplifier, so the following values are guesses as to the capacitances. Note that does not exist.
| Component | Capacitance |
Transistors
The transistor parameters used are selections from the Gummel-Poon SPICE model parameters for these two parts.
| Parameter | Description | value | value |
| VT | temperature voltage | 0.0259 | 0.0259 |
| BF | ideal forward maximum | 93 | 34 |
| NF | forward current emission coefficient | 0.99 | 1.0 |
| IS | transport saturation current | 0.24 fA | 0.44 fA |
| ISE | B-E leakage saturation current | 2.4 fA | 87 fA |
| NE | B-E leakage emission coefficient | 1.46 | 1.94 |
| RB | zero-bias base resistance | 21 | 5 |
| RE | emitter resistance | 0.37 | 1 |
Equations
There are five categories of equations, which give a set of twenty-four equations in total. Two categories of equations are non-linear and need to be linearized to solve this system as a linear model using matrices.
Resistor voltage drop
The resistor voltage drop equations all take the form
or
- .