Efficient implementation of simplified model predictive control

Journal Article · Sun Jul 01 04:00:00 EDT 1990 · A.I.Ch.E. Journal (American Institute of Chemical Engineers); (USA)

DOI:https://doi.org/10.1002/aic.690360718· OSTI ID:6502694

Kew, J W; Krishnaswamy, P R; Rangaiah, G P ^[1]

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1. Dept. of Chemical Engineering, National Univ. of Singapore (SG)

One of the recent digital control algorithms is known as the simplified model predictive control (SMPC) algorithm. The SMPC algorithm has many attractive features, such as zero offset, a single tunable parameter, some dead time compensation, and others. One disadvantage of SMPC compared with PID (proportional-integral-derivative) control is the computational effort; it involves N + 2 multiplications (and relatively inexpensive N additions) where N is the number of sampling periods in the settling time. This paper describes a simple yet effective implementation of SMPC that significantly reduces the required computational effort. Furthermore, the proposed modification improves the performance of SMPC for many applications of practical importance.

• OSTI ID: 6502694
• Journal Information: A.I.Ch.E. Journal (American Institute of Chemical Engineers); (USA), Journal Name: A.I.Ch.E. Journal (American Institute of Chemical Engineers); (USA) Vol. 36:7; ISSN AICEA; ISSN 0001-1541
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
990200* -- Mathematics & Computers
ALGORITHMS
COMPUTERIZED CONTROL SYSTEMS
CONTROL SYSTEMS
DIGITAL SYSTEMS
FORECASTING
MATHEMATICAL LOGIC
PERFORMANCE
PERFORMANCE TESTING
STRUCTURAL MODELS
TECHNOLOGY UTILIZATION
TESTING