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The proposed control method searches the best controller parameters domain subject to minimize a stochastic expected value of cost function.
The proposed control strategy uses past and present process information to design the best controller, as well as to generate the new control actions.
The focus of this article is to present a new method for optimal PID control design that automatically picks the best controller type for the process at hand.
The aim of the proposed control strategy is to choose the best controller parameters in such a way that the dominant eigenvalues of the closed-loop system are shifted to the left-hand side of s-plane as far as possible.
In this paper, unlike the theory of switching control, a similar structure which focus on choosing the best controller at a given moment is proposed.
May the best controller win!
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The best controllers lead to limited overshoot (less than 1 MPa), a response time of 200 s (within ±1% of set point) and little oscillatory behaviour.
The methodology main idea is to obtain the best controllers with the lowest gains as possible placing the poles in the left-half s-plane region, resulting in fast responses with reduced oscillations.
Patients receiving therapy in this narrow period are likely to turn out to be best controllers.
We observe that there are two regimens, one for t s < 20 days and one for t s > 30 corresponding to what clinicians call respectively best controllers (with undetectable HIV RNA levels) and rebounders (whose HIV viremia load returns, approximately, to the pre-HAART level).
It is found that the self-tuning fuzzy PID with bias controller shows the best control response compared to other controllers for control of the heave, pitch and combined heave and pitch motion.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com