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Team:KULeuven/Design/Integrated Model
From 2009.igem.org
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[[Image:Proportional10.JPG|750px|center|thumb|Block model of the system with proportional controller (Simulink)]] | [[Image:Proportional10.JPG|750px|center|thumb|Block model of the system with proportional controller (Simulink)]] | ||
| - | ==Proportional and | + | ==Proportional and Integral design (PI controller)== |
Because without integral action the steady state error on a step input signal will be nonzero, we considered to add some integral action. But because of the limited amount of time and resources we stuck with the P controller design, which is orders of magnitudes simpler to implement effectively biological systems. | Because without integral action the steady state error on a step input signal will be nonzero, we considered to add some integral action. But because of the limited amount of time and resources we stuck with the P controller design, which is orders of magnitudes simpler to implement effectively biological systems. | ||
Revision as of 19:37, 28 September 2009
Controller design
Proportional design (P controller)
Because we want to optimize the design of the feedback loop in our system, we developed a more abstract block scheme of the bacteria. It shows each component as a block performing a specific task. The diagram is used to develop some theories about the performance of the feedback loop.
Because the controller has to be implemented in 'biological technology', we choose the simplest possible design of controller, the proportional controller. The gain in the feedback loop can be adjusted by the use of low/high copy plasmids for the genes involved in production of vanillin.
Proportional and Integral design (PI controller)
Because without integral action the steady state error on a step input signal will be nonzero, we considered to add some integral action. But because of the limited amount of time and resources we stuck with the P controller design, which is orders of magnitudes simpler to implement effectively biological systems.
Simulations
In order to check the set-up of the model and to estimate the behaviour of the real bacterium, we performed a number of simulations.
