NDLI: Simulated annealing-Particle Swarm Optimization (SA-PSO): Particle distribution study and application in Neural Wiener-based NMPC

Content Provider	IEEE Xplore Digital Library
Author	Sudibyo, S. Murat, M.N. Aziz, N.
Copyright Year	2015
Description	Author affiliation: Sch. of Chem. Eng., Univ. Sains Malaysia, Perai, Malaysia (Murat, M.N.; Aziz, N.) \|\| Miner. Process. Div., Indonesian Inst. of Sci. (LIPI), Lampung, Indonesia (Sudibyo, S.)
Abstract	Good nonlinear optimization plays a vital role in advanced controller such as nonlinear model predictive control (NMPC). Particle swarm optimization (PSO) is one of nonlinear optimization which has a good potential to be implemented in the NMPC. Even though PSO can determine global optimum value, it is less superior in determining a local minimum value. Meanwhile, another optimizer known as simulated annealing (SA), has an opposite capability of PSO in determining the local and global values. Consequently, in this work, the SA and PSO optimizers have been combined to form SA-PSO which expected to cater both local and optimum point searching. From the particle distribution study, the result shows that the SA-PSO has better particle distribution than the original PSO. The proposed SA-PSO optimizer has also successfully applied in NMPC to control temperatures in the MTBE reactive distillation. The set point tracking test show that the NMPC using SA-PSO have good performance with small amount of overshoot, low settling time and small amount of error.
Starting Page	1
Ending Page	6
File Size	350016
Page Count	6
File Format	PDF
ISBN	9781479978625
DOI	10.1109/ASCC.2015.7244567
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-31
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Neural Wiener Simulated annealing optimization Nonlinear Model Predictive control Simulated annealing Predictive models Temperature control PSO Predictive control
Content Type	Text
Resource Type	Article

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