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Chemical Process Control a First Course with Matlab

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6 - 17<br />

The ITAE, <strong>with</strong> about 14% overshoot, is more conservative. Ciancone and Marlin tuning relations<br />

are ultra conservative; the system is slow and overdamped.<br />

With the IMC tuning setting in Example 5.7B, the resulting time response plot is (very nicely)<br />

slightly underdamped even though the derivation in Example 6.4 predicates on a system response<br />

<strong>with</strong>out oscillations. Part of the reason lies in the approximation of the dead time function, and<br />

part of the reason is due to how the system time constant was chosen. Generally, it is important to<br />

double check our IMC settings <strong>with</strong> simulations.<br />

At this point, one may be sufficiently confused <strong>with</strong> respect to all the different controller<br />

tuning methods. Use Table 6.3 as a guide to review and compare different techniques this chapter<br />

and also Chapters 7 and 8.<br />

Table 6.2. Summary of PID controller settings based on IMC or direct synthesis<br />

<strong>Process</strong> model <strong>Control</strong>ler K c τ I τ D<br />

K p<br />

τ p s+1<br />

PI<br />

τ p<br />

K p τ c<br />

τ p —<br />

K p<br />

(τ 1 s + 1) (τ 2 s+1)<br />

PID<br />

τ 1 + τ 2<br />

K p τ c<br />

τ 1 + τ 2<br />

τ 1 τ 2<br />

τ 1 + τ 2<br />

PID <strong>with</strong><br />

τ 1 > τ 2<br />

τ 1<br />

K p τ c<br />

τ 1 τ 2<br />

PI<br />

(underdamped)<br />

τ 1<br />

τ 1 —<br />

4K p ζ 2 τ 2<br />

K p<br />

τ 2 s 2 +2ζτs+1<br />

PID<br />

2ζτ<br />

K p τ c<br />

2ζτ<br />

τ<br />

2ζ<br />

K p<br />

s(τ p s+1)<br />

PD 1<br />

K p τ c<br />

— τ p<br />

K p e – t d s<br />

τ p s+1<br />

PI<br />

τ p<br />

K p (τ c +t d )<br />

τ p —<br />

PID<br />

1 2ττ p t d<br />

+1<br />

K p 2ττ c t d<br />

+1<br />

τ p<br />

+ t d 2 τ p<br />

2ττ p t d<br />

+1<br />

K p<br />

s<br />

P 1<br />

K p τ c<br />

— —

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