Real-time preventive sensor maintenance using robust moving horizon estimation and economic model predictive control

AIChE Journal

Volumn 61, Issue 10, 2015, Pages 3374-3389

  Lao, Liangfeng ^a   Ellis, Matthew ^a   Durand, Helen ^a   Christofides, Panagiotis D ^a,b  

^a University of California   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Economic model predictive control; Moving horizon estimation; Process control; Process economics; Sensor preventive maintenance; Smart manufacturing; State estimation

Indexed keywords

CHEMICAL STABILITY; CLOSED LOOP SYSTEMS; MAINTENANCE; OBSERVABILITY; PROCESS CONTROL; ROBUST CONTROL; STATE ESTIMATION;

CLOSED LOOP STABILITY; ECONOMIC MODELING; ECONOMIC PERFORMANCE; MAINTENANCE SCHEDULES; MOVING HORIZON ESTIMATION; PROCESS ECONOMICS; SENSORS AND ACTUATORS; SMART MANUFACTURING;

MODEL PREDICTIVE CONTROL;

EID: 84940791906     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.14960     Document Type: Article

References (34)

1. American Institute of Chemical Engineers. Center for Chemical Process Safety. Guidelines for Implementing Process Safety Management Systems, 1st ed. New York, NY: Wiley-AIChE, 1994.
2. American Institute of Chemical Engineers. Center for Chemical Process Safety. Guidelines for Safe Automation of Chemical Processes, 1st ed. New York, NY: Wiley-AIChE, 1993.
3. Crowl DA, Louvar JF. Chemical Process Safety: Fundamentals with Applications, 3rd ed. Upper Saddle River, NJ: Prentice Hall, 2001.
4. Dutta R, Saha S, Mukhopadhyay AK. Replacement strategies for minimizing maintenance cost and maximizing sensor network lifetime. In International Conference on Communication and Industrial Application. Kolkata, West Bengal, India: Institute of Electrical and Electronics Engineers, 2011:1-6.
5. Deshpande AP, Zamad U, Patwardhan SC. Online sensor/actuator failure isolation and reconfigurable control using the generalized likelihood ratio method. Ind Eng Chem Res. 2009;48:1522-1535.
6. Kim W, Ji K, Srivastava A. Network-based control with real-time prediction of delayed/lost sensor data. IEEE Trans Control Syst Technol. 2006;14:182-185.
7. Mhaskar P, Gani A, McFall C, Christofides PD, Davis JF. Fault-tolerant control of nonlinear process systems subject to sensor faults. AIChE J. 2007;53:654-668.
8. Schenato L. Optimal estimation in networked control systems subject to random delay and packet drop. IEEE Trans Autom Control. 2008;53:1311-1317.
9. Muñoz de la Peña D, Christofides PD. Lyapunov-based model predictive control of nonlinear systems subject to data losses. IEEE Trans Autom Control. 2008;53:2076-2089.
10. Christofides PD, Davis JF, El-Farra NH, Clark D, Harris KRD, Gipson JN. Smart plant operations: vision, progress and challenges. AIChE J. 2007;53:2734-2741.
11. Davis J, Edgar T, Porter J, Bernaden J, Sarli M. Smart manufacturing, manufacturing intelligence and demand-dynamic performance. Comput Chem Eng. 2012;47:145-156.
12. Ciccarella G, Dalla Mora M, Germani A. A Luenberger-like observer for nonlinear systems. Int J Control. 1993;57:537-556.
13. El-Farra NH, Christofides PD. Bounded robust control of constrained multivariable nonlinear processes. Chem Eng Sci. 2003;58:3025-3047.
14. Khalil HK, Esfandiari F. Semiglobal stabilization of a class of nonlinear systems using output feedback. IEEE Trans Autom Control. 1993;38:1412-1415.
15. Ahrens JH, Khalil HK. High-gain observers in the presence of measurement noise: a switched-gain approach. Automatica. 2009;45:936-943.
16. Rao CV, Rawlings JB, Mayne DQ. Constrained state estimation for nonlinear discrete-time systems: stability and moving horizon approximations. IEEE Trans Autom Control. 2003;48:246-258.
17. Rawlings JB, Ji L. Optimization-based state estimation: current status and some new results. J Process Control. 2012;22:1439-1444.
18. Liu J. Moving horizon state estimation for nonlinear systems with bounded uncertainties. Chem Eng Sci. 2013;93:376-386.
19. Müller MA, Angeli D, Allgöwer F. On the performance of economic model predictive control with self-tuning terminal cost. J Process Control. 2014;24:1179-1186.
20. Grüne L, Stieler M. Asymptotic stability and transient optimality of economic MPC without terminal conditions. J Process Control. 2014;24:1187-1196.
21. Zhang J, Liu S, Liu J. Economic model predictive control with triggered evaluations: state and ouptut feedback. J Process Control. 2014;24:1197-1206.
22. Ellis M, Zhang J, Liu J, Christofides PD. Robust moving horizon estimation-based output feedback economic model predictive control. Syst Control Lett. 2014;68:101-109.
23. Jäschke J, Yang X, Biegler LT. Fast economic model predictive control based on NLP-sensitivities. J Process Control. 2014;24:1260-1272.
24. Ellis M, Durand H, Christofides PD. A tutorial review of economic model predictive control methods. J Process Control. 2014;24:1156-1178.
25. Lao L, Ellis M, Christofides PD. Proactive fault-tolerant model predictive control. AIChE J. 2013;59:2810-2820.
26. Lao L, Ellis M, Christofides PD. Smart manufacturing: handling preventive actuator maintenance and economics using model predictive control. AIChE J. 2014;60:2179-2196.
27. Christofides PD, El-Farra NH. Control of Nonlinear and Hybrid Process Systems: Designs for Uncertainty, Constraints and Time-Delays. Berlin, Germany: Springer-Verlag, 2005.
28. Lin Y, Sontag ED, Wang Y. A smooth converse Lyapunov theorem for robust stability. SIAM J Control Optim. 1996;34:124-160.
29. Khalil HK. Nonlinear Systems, 3rd ed. Upper Saddle River, NJ: Prentice Hall, 2002.
30. Heidarinejad M, Liu J, Christofides PD. Economic model predictive control of nonlinear process systems using Lyapunov techniques. AIChE J. 2012;58:855-870.
31. Mhaskar P, Liu J, Christofides PD. Fault-Tolerant Process Control: Methods and Applications. London, England: Springer-Verlag, 2013.
32. Ellis M, Christofides PD. Real-time economic model predictive control of nonlinear process systems. AIChE J. 2015;61:555-571.
33. Sontag ED. A 'universal' construction of Artstein's theorem on nonlinear stabilization. Syst Control Lett. 1989;13:117-123.
34. Wächter A, Biegler LT. On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming. Math Program. 2006;106:25-57.