How to Derive a Transfer Function for a Fuel Cell Air Flow System?

In summary, the conversation discusses deriving a transfer function for a fuel cell air flow system. The equations and attempt at a solution involve the ideal gas law, mass flow rate, and pressure. A guide for creating a state space model is also provided for converting into a transfer function. Further assistance is offered if needed.
  • #1
ookt2c
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0

Homework Statement



Derive a transfer function relating the input(volts) to the out put (pressure) of a fuel celll air fllow system.

Homework Equations


P(gage)=P(abs)-P(atm)

Ideal gas law(PV=mRT)

[itex]dm/dt=mdot(in)-mdot(out)[/itex]

q=k(P(in)-P(out)) mass flowrate for a linear restriiction

The Attempt at a Solution


[itex]dm/dt=mdot(in)-mdot(out)[/itex]

m=(RT)/(PV)

[itex](dRT/PV)/dt=mdot (in)-K(p(in)-P(out))[/itex]
take out constants
[itex]RT/V*(d*1/p)/dt=Mdont(in)-K(p(in)-P(out))[/itex] units for pressure is in seconds ( Pascal = 1 kg/(m*s^2))
 
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  • #2
Here is a nice guide for creating a state space model of your system, which can be easily converted into a transfer function:

http://www.me.cmu.edu/ctms/modeling/tutorial/statespace/mainframes.htm

Dont hesitate to ask if you need further assistance.
 
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1. What is a transfer function?

A transfer function is a mathematical representation of the relationship between the input and output of a system. It describes how the input signal is transformed into the output signal by the system.

2. Why is it important to derive a transfer function?

Deriving a transfer function allows us to understand and analyze the behavior of a system. It provides a mathematical model that can be used to predict the output of the system for different inputs, and to design controllers for the system.

3. How is a transfer function derived?

To derive a transfer function, we use mathematical tools such as Laplace transforms to convert the differential equations that describe the system into algebraic equations. These equations can then be rearranged to express the output in terms of the input, resulting in the transfer function.

4. What are the key assumptions made when deriving a transfer function?

The key assumptions made when deriving a transfer function include linearity of the system, time invariance, and zero initial conditions. These assumptions allow for the use of mathematical tools and simplifications to derive the transfer function.

5. Can a transfer function be derived for any system?

No, a transfer function can only be derived for linear time-invariant systems. Nonlinear systems or systems with time-varying parameters do not have a transfer function. In these cases, other methods such as state-space representation may be used to model the system.

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