| ??? 10/25/07 00:21 Read: times |
#146162 - Abstract? Responding to: ???'s previous message |
Christoph Franck said:
Depends. Back at the university, I had classes in both simulation engineering and signal processing, and the professors made a point of explaining why some things that are good for one of these (4th order ODE solvers are nice for precise simulations ...) will fail miserably when used on the other (... but 4th order ODE solvers require results at fractions of the step size, which you don't have in a signal processing application). Likewise, you won't see a lot of z domain stuff when you're designing simulations, since you're going to do stuff in the simulations (change the "sampling rate" / simulation step size, even dynamically while the simulation is ongoing, for example, or dealing with nonlinear equations) which the z domain analysis is fairly badly suited for. It's all a matter of choosing the right set of tools for the job at hand. Yes, Z transforms maybe more neat and tidy than my method, but you have to agree, Z transforms are more abstract. The thing is, I have figured out(without using Z transforms) how run 1st or 2nd order (non homogenous) differential equations in my '51, which allows me to develop (and have done) multi channel real time PID control with the ability to change the PID parameters during run time.If only it was easy to get this stuff on the market and sell it? What I am trying to understand at the moment though, is two dependant variable differential equations. Unfortunately, I do not understand the physical relationships between length and time, i.e., f(x,t) By the way, and my apoligies, if you wondering what it is I'm developing, it's a on line process pH meter(4..20mA). However, now that I have low cost and reasonably accurate measuring device, I can plug it into anything that requires measurement for future projects. Cheers for now Jason |
