Presentation on theme: "Chapter 10 Stability Analysis and Controller Tuning ※ Bounded-input bounded-output (BIBO) stability ＊ Ex. 10.1 A level process with P control."— Presentation transcript:
Chapter 10 Stability Analysis and Controller Tuning ※ Bounded-input bounded-output (BIBO) stability ＊ Ex A level process with P control
(S1) Models (S2) Solution by Laplace transform where
Note: (1)Stable if K c <0 (2)Unstable K c >0 (3)Steady state performance by
＊ Ex A level process without control (1)Response to a sine flow disturbance (2)Response to a step flow disturbance
※ Stability analysis
Note: Assume G d (s) is stable.
＊ Stability of linearized closed-loop systems Ex The series chemical reactors with PI controller
@ Known values 1.Process 2.Controller
@ Formulation& stability Stable
◎ Criterion of stability ※ Direct substitution method
The response of controlled output: P1. P2.
﹪ Ultimate gain (K cu ): The controller gain at which this point of marginal instability is reached ﹪ Ultimate period (T u ): It shows the period of the oscillation at the ultimate gain ＊ Using the direct substitution method by in the characteristic equation
Example A.1 Known transfer functions
Find: (1) Ultimate gain (2) Ultimate period S1. Characteristic eqn.
S2. Let at K c =K cu
Example A.2 S1.
Example A.3 Find the following control loop: (1) Ultimate gain (2) Ultimate period
S1. The characteristic eqn. for H(s)=K T /( T s+1) S2. G c =-K c to avoid the negative gains in the characteristic eqn.
S3. By direct substitution of at K c =K cu
＊ Dead-time Since the direct substitution method fails when any of blocks on the loop contains deadt-ime term, an approximation to the dead-time transfer function is used. First-order Padé approximation:
Example A.4 Find the ultimate gain and frequency of first- order plus dead-time process S1. Closed-loop system with P control
S2. Using Pade approximation
S3. Using direct substitution method
Note: 1.The ultimate gain goes to infinite as the dead-time approach zero. 2.The ultimate frequency increases as the dead time decreases.
※ Root locus A graphical technique consists of roots of characteristic equation and control loop parameter changes.
＊ Definition: Characteristic equation: Open-loop transfer function (OLTF): Generalized OLTF:
Example B.1: a characteristic equation is given S1. Decide open-loop poles and zeros by OLTF
S2. Depict by the polynomial (characteristic equation) K c :1/3
Example B.2: a characteristic equation is given S1. Decide poles and zeros
S2. Depict by the polynomial (characteristic equation)
Example B.3: a characteristic equation is given S1. Decide poles and zeros S2. Depict by the polynomial (characteristic equation)
@ Review of complex number c=a+ib
P1. Multiplication for two complex numbers (c, p) P2. Division for two complex numbers (c, p)
@ Rules for root locus diagram (1)Characteristic equation (2)Magnitude and angle conditions
(3)Rule for searching roots of characteristic equation Ex. A system have two OLTF poles (x) and one OLTF zero (o) Note: If the angle condition is satisfied, then the point s 1 is the part of the root locus
Example B.4 Depict the root locus of a characteristic equation (heat exchanger control loop with P control) S1. OLTF
S2. Rule for root locus (i)From rule 1 where the root locus exists are indicated. (ii)From rule 2 indicate that the root locus is originated at the poles of OLTF. (iii)n=3, three branches or loci are indicated. (iv)Because m=0 (zeros), all loci approach infinity as K c increases. (v)Determine CG= and asymptotes with angles, =60°, 180 °, 300 °. (vi)Calculate the breakaway point by
s= – and –0.063 S3. Depict the possible root locus with ω u =0.22 (direct substitution method) and K cu =24
Example B.5 Depict the root locus of a characteristic equation (heat exchanger control loop with PI control) S1. OLTF
S2. Following rules
S3. Depict root locus
＊ Dynamic responses for various pole locations
◎ ＊ Which is good method for stability analysis
※ Bode method A brief review: (1)OLTF (2)Frequency response
◎ Stability criterion
Ex. C.1 Heat exchanger control system (Ex. A.1) ＊ Frequency response stability criterion Determining the frequency at which the phase angle of OLTF is –180°(–π) and AR of OLTF at that frequency
S2. Find MR and θ S3. Bode plot in Fig to estimate ω=0.219 by θ= –180° and decide MR= S1. OLTF
S4. Decide K c as AR=1 ＃ ＊ Stability vs. controller gain In Bode plot, as θ= –180° both ω and MR are determined. Moreover, ω = ω u and K cu can be obtained.
Ex. C.2 Analysis of stability for a OTLF S1. MR and θ
S2. Show Bode plot (MR vs. & vs. )
S3. Find ω u and K cu ω u =0.16 by = –π K cu =12.8 Ex. C.3 The same process with PD controller and =0.1 (S1) OLTF
(S2) By Fig u =0.53 and MR=0.038 K cu =33 and u =0.53
Ex (S1) Bode plot (AR vs. & vs. ) for K c =1
(S2) Stability vs. controller gain K c Ex Determine whether this system is stable.
(S1) Bode plot for K c =15 and T I =1 (S2) Since the AR>1 at, the system is unstable.
P1. Bode plot for the first-order system
P2. Bode plot for the second-order system
Ex Determine AR and of the following transfer function at
＊ Controller tuning based on Z-N closed-loop tuning method S1. Calculating c by setting K c =1 and then determine K u and P u where AR c =
S2. Controller tuning constants Ex Calculate controller tuning constants for a process, G p (s)=0039/(5s+1) 3, by uning the Z-N method S1.
S2. Bode plot
S3. Tuning constants
S4. Closed-loop test
Ex Integral mode tend to destabilize the control system
(1)Gain margin (GM): Total loop gain increase to make the system just unstable. The controller gain that yields a gain margin ＊ Typical specification: GM 2 If P controller with GM=2 is the same as the Z-N Effect of modeling errors on stability
(2) Phase margin (PM): ＊ Typical specification: PM>45° Ex. D.1 Consider the same heat exchanger to tune a P controller for specifications (Ex. C.2) (a) While GM=2
(b) PM= 45° θ= –135°. By Fig. in Ex. C.2, we can find and
※ Polar plot The polar plot is a graph of the complex-valued function G(i ) as goes from 0 to . Ex. E.1 Consider the amplitude ratio and the phase angle angle of first-order lag are given as
Ex. E.2 Consider the amplitude ratio and the phase angle angle of second-order lag are given as
Ex. E.3 Consider the second-order system with tuning K c
Ex. E.4. Consider the amplitude ratio and the phase angle angle of pure dead time system are given as
※ Conformal mapping
※ Nyquist stability criterion (Nyquist plot) Ex. E.5 Consider a closed-loop system, its OLTF is given as
Marginal stable K c =23.8 stable K c <23.8 Unstable stable K c >23.8