Abstract
A novel Proportional-Integral-Derivative (PID) controller is proposed for stable and unstable first order processes with time delay. The controller is cascaded in series with a second order filter. Polynomial approach is employed to derive the controller and filter parameters. Simple tuning rules are derived by analysing the maximum sensitivity of the control loop. Formulae are provided for initial guess of tuning parameter. The range of tuning parameter around the initial guess and the corresponding range of maximum sensitivity is specified based on time delay to time constant ratio. Promising results are obtained with the proposed method is compared against recently proposed methods in the literature. The comparison is made in terms of various performance indices for servo and regulatory responses separately. The proposed method is implemented for an isothermal chemical reactor at an unstable equilibrium point.
Appendix A
Consider an isothermal chemical reactor as shown in Figure 15.

Block diagram of an isothermal chemical reactor.
Mass balance equation can be written as
{Accumulation of = {Component A in}−{Component A out}+{Generation of A}Component A}
Where
MWA= molecular weight of component A
V=Volume of chemical reactor (l)
CAo=Inlet concentration of Component A (mol/l)
CA= Out let concentration of component A(mol/l)
F=Inflow rate (l/s)
rA= Reaction rate
Dividing the equation with MWAVΔt and considering Δt→0
Under non ideal mixing conditions [21], rA can be modelled as
Where k1 and k2 are constants. Substituting eqs (32, 33),
At steady state
This isothermal chemical reactor is studied by various researchers [8, 18, 19] for values F=0.0333l/s, V=1l, CAo=3.288mol/l, k1=10l/s, k2=10l/mol. Substituting the above values and solving eq. (36) results three steady states at
.
Linearizing the eq. (34) at steady state CA=1.3065mol/l using Taylor’s series expansion (Neglecting higher order terms) gives following transfer function
Considering a measurement lag of 20s due to concentration transducer,
References
1. Ziegler JG, Nichols NB. Optimum settings for automatic controllers. Am Soc Mech Eng. 1942;64:759–768.10.1115/1.2899060Search in Google Scholar
2. De Paor AM. A modified Smith predictor and controller for unstable processes with time delay. Int J Control. 1985;41:1025–1036.10.1080/0020718508961181Search in Google Scholar
3. De Paor AM, Egan RP. Extension and partial optimization of a modified Smith predictor and controller for unstable processes with time delay. Int J Control. 1989;50:1315–1326.10.1080/00207178908953435Search in Google Scholar
4. Kwak HJ, Sung SW, Lee IB, Park JY. A modified Smith predictor with a new structure for unstable processes. Ind Eng Chem Res. 1999;38(2):405–411.10.1021/ie980515nSearch in Google Scholar
5. Majhi S, Atherton DP. Obtaining controller parameters for a new Smith predictor using auto tuning. Automatica. 2000;36:1651–1658.10.1016/S0005-1098(00)00085-6Search in Google Scholar
6. Zhang W, Gu D, Wang W, Xu X. Quantitative performance design of a modified Smith predictor for unstable processes with time delay. Ind Eng Chem Res. 2004;43:56–62.10.1021/ie020732vSearch in Google Scholar
7. Liu T, Cai YZ, Gu DY, Zhang WD. New modified Smith predictor scheme for integrating and unstable processes with time delay. IEE Proc Control Theory Appl. 2005;152(2):238–246.10.1049/ip-cta:20041232Search in Google Scholar
8. Rao AS, Chidambaram M. Enhanced Smith predictor for unstable processes with time delay. Ind Eng Chem Res. 2005;44(22):8291–8299.10.1021/ie050316lSearch in Google Scholar
9. Rao AS, Rao VSR, Chidambaram M. Simple analytical design of modified smith predictor with improved performance for unstable first-order plus time delay (FOPTD) processes. Ind Eng Chem Res. 2007;46:4561–4571.10.1021/ie061308nSearch in Google Scholar
10. Yang XP, Wang QG, Hang CC, Lin C. IMC based control system design for unstable processes. Ind Eng Chem Res. 2002;41:4288–4294.10.1021/ie010812jSearch in Google Scholar
11. Tan W, Marquez HJ, Chen T. IMC design for unstable processes with time delays. J Process Control. 2003;13:203–213.10.1016/S0959-1524(02)00058-6Search in Google Scholar
12. Shamsuzzoha M, Lee M. Analytical design of enhanced PID filter controller for integrating and first order unstable processes with time delay. J Chem Eng Sci. 2008;63(10):2717–2731.10.1016/j.ces.2008.02.028Search in Google Scholar
13. Vijayan V, Panda RC. Design of PID controllers in double feedback loops for SISO systems with set-point filters. ISA Trans. 2012;51:514–521.10.1016/j.isatra.2012.03.003Search in Google Scholar PubMed
14. Wang Q, Lu C, Pan W. IMC PID controller tuning for stable and unstable processes with time delay. Chem Eng Res Des. 2016;105:120–129.10.1016/j.cherd.2015.11.011Search in Google Scholar
15. Liu T, Zhang W, Gu D. Analytical design of two degree of freedom control scheme for open loop unstable processes with time delay. J Process Control. 2005;15(5):559–572.10.1016/j.jprocont.2004.10.004Search in Google Scholar
16. Lu X, Yang YS, Wang QG, Zheng WX. A double two degree of freedom control scheme for improved control of unstable delay processes. J Process Control. 2005;15(5):605–614.10.1016/j.jprocont.2004.09.002Search in Google Scholar
17. Tan W. Analysis and design of a double two-degree-of-freedom control scheme. ISA Trans. 2010;49:311–317.10.1016/j.isatra.2010.03.004Search in Google Scholar PubMed
18. Ajmeri M, Ali A. Two degree of freedom control scheme for unstable processes with small time delay. ISA Trans. 2015;56:308–326.10.1016/j.isatra.2014.12.007Search in Google Scholar PubMed
19. Begum KG, Rao AS, Radhakrishnan TK. Maximum sensitivity based analytical tuning rules for PID controllers for unstable dead time processes. Chem Eng Res Des. 2016;109:593–606.10.1016/j.cherd.2016.03.003Search in Google Scholar
20. Weidong Z. Optimal design of the refined Zigler Nichols proportional-integral-derivative controller for stable and unstable processes with time delays. Ind Eng Chem Res. 2006;45:1408–1419.10.1021/ie0507981Search in Google Scholar
21. Liou CT, Chien YS. The effect of non-ideal mixing on input multiplicities in a CSTR. Chem Eng Sci. 1991;46(8):2113–2116.10.1016/0009-2509(91)80168-XSearch in Google Scholar
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