Chapter 2 Classical Analysis Methods 4口，+@，4定4=定0C Zhang.W.D..CRC Press.2011 Version 1.0 1/64
Chapter 2 Classical Analysis Methods Zhang, W.D., CRC Press, 2011 Version 1.0 1/64
Classical Analysis Methods 12.1 Process Dynamic Responses 2 2.2 Rational Approximations for Time Delay 3 2.3 Time Domain Performance Indices 42.4 Frequency Response Analysis 52.5 Transformation of Two Commonly Used Models 62.6 Design Requirements and Method Comparison 4口，4@，4定4定0C Zhang.W.D..CRC Press.2011 Version 1.0 2/64
Classical Analysis Methods 1 2.1 Process Dynamic Responses 2 2.2 Rational Approximations for Time Delay 3 2.3 Time Domain Performance Indices 4 2.4 Frequency Response Analysis 5 2.5 Transformation of Two Commonly Used Models 6 2.6 Design Requirements and Method Comparison Zhang, W.D., CRC Press, 2011 Version 1.0 2/64
Section 2.1 Process Dynamic Responses 2.1 Process Dynamic Responses Plant Description Different plants may be described by the same model: Distillation column,paper-making machine,disk,maglev, Description:Linear time-invariant causal model G(t),where t is the continuous time variable.G(s)denote its transfer function. Causality:G(t)=0 for t<0.Implication:the output depends only on the current and the previous inputs Properness: Proper-G(s)ls=joo is finite(the degree of denominator is greater than or equals the degree of numerator) ② Strictly proper-G(s)ls=j=0(the degree of denominator is greater than the degree of numerator) ③ Bi-proper-G(s)ls=jo is a nonzero constant(the degree of denominator equals the degree of numerator) ④Improper--Not proper 定9QC Zhang.W.D..CRC Press.2011 Version 1.0 3/64
Section 2.1 Process Dynamic Responses 2.1 Process Dynamic Responses Plant Description Different plants may be described by the same model: Distillation column, paper-making machine, disk, maglev, ... Description: Linear time-invariant causal model G(t), where t is the continuous time variable. G(s) denote its transfer function. Causality: G(t) = 0 for t < 0. Implication: the output depends only on the current and the previous inputs Properness: 1 Proper—G(s)|s=j∞ is finite (the degree of denominator is greater than or equals the degree of numerator) 2 Strictly proper—G(s)|s=j∞ = 0 (the degree of denominator is greater than the degree of numerator) 3 Bi-proper—G(s)|s=j∞ is a nonzero constant (the degree of denominator equals the degree of numerator) 4 Improper—Not proper Zhang, W.D., CRC Press, 2011 Version 1.0 3/64
Section 2.1 Process Dynamic Responses Stable Plants with Time Delays When the original mass or energy equilibrium is upset by a change at the input,the output will eventually reach a new equilibrium. Feature:Do not have closed RHP poles 2.0 1.3 1.0 0.5 0.0 Time 4口+0：4定4生定9QC Zhang.W.D..CRC Press.2011 Version 1.0 4/64
Section 2.1 Process Dynamic Responses Stable Plants with Time Delays When the original mass or energy equilibrium is upset by a change at the input, the output will eventually reach a new equilibrium. Feature: Do not have closed RHP poles Zhang, W.D., CRC Press, 2011 Version 1.0 4/64
Section 2.1 Process Dynamic Responses Models of Stable Plants K 6=n9+2s+.m5+de: K-Real constant denoting the static gain 0-Positive real constant denoting the time delay Ti(i =1,2,...n)-Have positive real parts and denote time constants The first-order model frequently used in practice: G(s)= e-s rs+1 The model can well be illustrated by utilizing a shower 4口，+@，4定4=定0C Zhang.W.D..CRC Press.2011 Version 1.0 5/64
Section 2.1 Process Dynamic Responses Models of Stable Plants G(s) = K (τ1s + 1)(τ2s + 1)...(τns + 1) e −θs K—Real constant denoting the static gain θ—Positive real constant denoting the time delay τi(i = 1, 2, ..., n)—Have positive real parts and denote time constants The first-order model frequently used in practice: G(s) = K τ s + 1 e −θs The model can well be illustrated by utilizing a shower Zhang, W.D., CRC Press, 2011 Version 1.0 5/64
Section 2.1 Process Dynamic Responses Models of Stable Plants K 6=ns+2s+.m5+de-: K-Real constant denoting the static gain 0-Positive real constant denoting the time delay Ti(i =1,2,...n)-Have positive real parts and denote time constants The first-order model frequently used in practice: K G(s)= Ts+ e-0s The model can well be illustrated by utilizing a shower 4口4@4定42：定QC Zhang.W.D..CRC Press.2011 Version 1.0 5/64
Section 2.1 Process Dynamic Responses Models of Stable Plants G(s) = K (τ1s + 1)(τ2s + 1)...(τns + 1) e −θs K—Real constant denoting the static gain θ—Positive real constant denoting the time delay τi(i = 1, 2, ..., n)—Have positive real parts and denote time constants The first-order model frequently used in practice: G(s) = K τ s + 1 e −θs The model can well be illustrated by utilizing a shower Zhang, W.D., CRC Press, 2011 Version 1.0 5/64
Section 2.1 Process Dynamic Responses The Model of a Shower At t,turn up the valve of hot water by a small increment Ag At the time ti the increment is 0.632△c At t2 the increment of the warm Warm water water temperature is Ac and does not increase anymore Hot water Cold water The warmer water flows to the outlet at t3 K=△c/△q T =t1-t Figure: Shower 0=t3-t2. Zhang.W.D..CRC Press.2011 Version 1.0 6/64
Section 2.1 Process Dynamic Responses The Model of a Shower At t, turn up the valve of hot water by a small increment ∆q At the time t1 the increment is 0.632∆c At t2 the increment of the warm water temperature is ∆c and does not increase anymore The warmer water flows to the outlet at t3 K = ∆c/∆q τ = t1 − t θ = t3 − t2. Figure: Shower Zhang, W.D., CRC Press, 2011 Version 1.0 6/64
Section 2.1 Process Dynamic Responses Unstable Plants with Time Delays When the original mass or energy equilibrium is upset by a change at the input,the output will increase or decrease faster and faster until the physical limit is reached. Feature:Have RHP poles 2.0 l.5 1.0 44+4444 0.5 0.0 0 5 Time 4口，+心4定4生定分QC Zhang.W.D..CRC Press.2011 Version 1.0 7/64
Section 2.1 Process Dynamic Responses Unstable Plants with Time Delays When the original mass or energy equilibrium is upset by a change at the input, the output will increase or decrease faster and faster until the physical limit is reached. Feature: Have RHP poles Zhang, W.D., CRC Press, 2011 Version 1.0 7/64
Section 2.1 Process Dynamic Responses Models of Unstable Plants K G(s)= (-T1s+1)(-25+1)(-Tms+1)× (Tm+1s+1).(Tn5+1) K-Real constant denoting the static gain 0-Positive real constant denoting the time delay Ti(i =1,2,...m,...,n)-Have positive real parts and denote time constants The first-order model frequently used in practice: G(s= 4口：4@424色定90C Zhang.W.D..CRC Press.2011 Version 1.0 8/64
Section 2.1 Process Dynamic Responses Models of Unstable Plants G(s) = K (−τ1s + 1)(−τ2s + 1)...(−τms + 1)× (τm+1s + 1)...(τns + 1) e −θs K—Real constant denoting the static gain θ—Positive real constant denoting the time delay τi(i = 1, 2, ..., m, ..., n)—Have positive real parts and denote time constants The first-order model frequently used in practice: G(s) = K τ s − 1 e −θs Zhang, W.D., CRC Press, 2011 Version 1.0 8/64
Section 2.1 Process Dynamic Responses Models of Unstable Plants K G(5)= (-T1s+1)(-25+1)(-Tms+1)× (Tm+1s+1).(Tn5+1) K-Real constant denoting the static gain 0-Positive real constant denoting the time delay Ti(i =1,2,...m,...,n)-Have positive real parts and denote time constants The first-order model frequently used in practice: G(s)= K 4口：4@4242定90C Zhang.W.D..CRC Press.2011 Version 1.0 8/64
Section 2.1 Process Dynamic Responses Models of Unstable Plants G(s) = K (−τ1s + 1)(−τ2s + 1)...(−τms + 1)× (τm+1s + 1)...(τns + 1) e −θs K—Real constant denoting the static gain θ—Positive real constant denoting the time delay τi(i = 1, 2, ..., m, ..., n)—Have positive real parts and denote time constants The first-order model frequently used in practice: G(s) = K τ s − 1 e −θs Zhang, W.D., CRC Press, 2011 Version 1.0 8/64
