Abstract
In the two-degree of freedom control, the performance of good command following and disturbance rejection are considered separately. Qualitatively, good performance is equivalent to minimizing the energy of the error for any inputs. In this work, usingH ∞-formulation in the frequency domain, robust stability and robust performance specifications have been analyzed for the two-degree of freedom control structure with a dynamic controller. When the two-degree of freedom system having a feed-forward loop is controlled by a dynamic controller, two different performance weight functions are imposed and the robust performance specification is proposed in terms of the return ratio and feed-forward loop. The design algorithm in the frequency domain is illustrated for the simplified retail model of Industrial Dynamics to compare three kinds of control laws, which are the output feedback control scheme and two additional dynamic control ones. Numerical simulation results show that the dynamic control laws provide a larger robust stability margin than the output feeback control one and has good performance robustness for disturbance rejection at low frequencies.
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Abbreviations
- IESF:
-
Integrated-Error with State-Feedback controller
- ISFF:
-
Integrated-Error with State-Feedback and Filtering controller
- H ∞ :
-
Hardy space
- ε j (s):
-
Sensitivity transfer function in the s-domain forj = 1, 2, 3
- η j (s):
-
Complementary sensitivity transfer function in the s-domain forj = 1, 2, 3
- μ j (s):
-
Pseudo-sensitivity transfer function in the s-domain forj = 1, 2, 3
- subscript 1, 2, 3:
-
1 stands for output feedback, 2 for IESF, and 3 for ISFF
- w(s) :
-
Performance weighting function
- l m :
-
Multiplicative uncertainty
- Δ:
-
Uncertainty
- DUD:
-
Delay due to unfilled orders at distributor
- UOD:
-
Unfilled orders at distributor
- IAR:
-
Actual inventory at retailer
References
Doyle, J., 1982, “Analysis of Feedback Systems with Structured Uncertainties,”IEE Proc., Vol. 129, pp. 242–250.
Forrester, J. W., 1961, “Industrial Dynamics,” MIT Press, John Wiley and Sons, NY.
Freudenberg, J. S. and Looze, D. P., 1986, “An Analysis ofH ∞-Optimization Design Methods,”IEEE Trans. Automat. Control, Vol. 31, pp. 194–200.
Jeong, S., 1992, “Dynamic Control of Multiechelon Production-Distribution Systems with Decision Variable Constraints.” Ph. D. dissertation. North Carolina State Univ., Raleigh, NC.
Jeong, S. and Maday, C. J., 1993, “Dynamic Information Management for Uncertain Multiechelon Production-Distribution Systems with Parameter Uncertainties and Decision Variable Constraints,”Proc. for ASME MAM, DSC-Vol. 50/PED-Vol. 63, Symposium on Mechatronics, pp. 165–170, New Orleans, Lousiana, Nov. 28–Dec. 3.
Jeong, S. and Maday, C. J., 1993, “Frequency Domain Analysis of Two-Degree-of-Freedom Control Structure usingH ∞-Formulation”,Proc. for ASME WAM, DSC-Vol. 53, Advanced in Robust and Nonlinear Control Systems, pp. 45–52, New orleans, Louisiana, Nov. 28–Dec. 3.
Jeong, S. and Maday, C. J., 1994, “Supervisory Control for Industrial Systems with Saturation Decisions,”Proc. American Control Conference, Vol. 1, pp. 294–298, Baltimore, Maryland, June 19–July 1.
Jeong, S. and Maday, C. J., 1994, “Supervisory Control of Production-Distribution System with Saturating Decisions,”Systems and Control Letters, Vol. 22, No. 4, pp. 245–256.
Jeong, S., 1994, “on Robust Dynamic Controller Design,”KSME Journal, Vol. 8, No. 2, pp. 127–135.
Laughlin, D. L., Jordan, K. G. and Morari, M., 1986, “Internal Model Control and Process Uncertainty: Mapping Uncertainty Regions for SISO Controller Design,”Int. J. Control, Vol. 44, pp. 1675–1698.
Lewin, D. R. and Morari, M., 1988, “Robex: An Expert System for Robust Control Synthesis,”Compt. Chem. Eng., Vol. 12, pp. 1187–1198.
Lewin, D. R., 1991, “Robust Performance Specifications for Uncertain State SISO Systems,”Int. J. Control, Vol. 53, pp. 1263–1281.
Lunze, J., 1989, “Robust Multivariable Feedback Control,” Prentice Hall, Englewood Cliffs, NJ.
MacFarlane, A. G. J., 1970, “Return-difference and Return-ratio Matrices and Their Use in Analysis and Design of Multivariable Feedback Control systems,”IEE Proc. Vol. 117, pp. 2037–2049.
Maciejowski, J. M., 1989, “Multivariable Feedback Design,” Addison-wesley, Great Britain.
Morari, M. and Zafiriou, E., 1989, “Robust Process Control,” Prentice Hall, Englewood Cliffs, NJ.
Rivera, D. E. and Morari, M., 1987, “Control-relavant Model Reduction Problems for SISOH 2,H ∞ and μ-Controller Synthesis,”Int. J. Control, Vol. 46, pp. 505–527.
Rivera, D. E. and Morari, M., 1992, “Plant and Controller Reduction Problem for Closed-Loop Performance,”IEEE Trans. Auto. Control, Vol. 37, pp. 398–404.
Zafiriou, E. and Morari, M., 1991, “Internal Model Control: Robust Digital Controller Systhesis for Multivariable Open-Loop Stable or Unstable Process,”Int. J. Control, Vol. 54, pp. 665–704.
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Jeong, S. Analysis of robust stability and performance for two-degree of freedom control structure with dynamic controller. KSME Journal 10, 128–137 (1996). https://doi.org/10.1007/BF02953652
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DOI: https://doi.org/10.1007/BF02953652