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The Virtual CNC includes both analytical tuning methods for linear controllers, as well as Fuzzy Logic based expert auto-tuning system for Adaptive Sliding Mode Control.
For illustration purposes, the method is applied to analytical tuning of PI compensators.
Analytical tuning rules for bullwhip effect avoidance are developed for both strategies.
Analytical tuning rules for digital PID type–I controllers are presented regardless of the process complexity.
This strategy is inspired by the lack of analytical tuning guideline of weighting matrices for state space model based controller design.
Analytical tuning rules are developed for the controller parameters for different time delay to time constant ratios with desired level of robustness.
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This communication addresses the analytical PID tuning rules for integrating processes.
An analytical controller tuning method is then developed using an asymptotic constraint established thereby for reducing the influence of the slow process time constant on load disturbance rejection.
One algorithm determines the optimal time delay in the reference model by solving an optimization problem, whereas the other algorithm avoids the nonlinear optimization by using a simple approximation for the time delay term, enabling derivation of analytical PID tuning formulas.
A second-generation contrast agent composed of sulphur hexafluoride microbubbles (SonoVue 8 mcl/ml, Bracco Imaging S.p.A., Milan, Italy) and a dedicated contrast-enhanced ultrasound analytical software (Contrast Tuned Imaging, Contrast Tuned Imaging technology, Esaote, Genova, Italy) were used.
Analytical PID controller tuning rules are proposed by a correct approximation function using desired closed-loop response technique.
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