Implementation of Multi-Core Parallel Computation for Real-Time Turning of PID Parameters Based on Genetic Algorithm

Shuang Shi Zhang; Xu Ben Wang; Wei Hua Wang

doi:10.4028/www.scientific.net/AMM.159.132

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Implementation of Multi-Core Parallel Computation for Real-Time Turning of PID Parameters Based on Genetic Algorithm
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 159Implementation of Multi-Core Parallel Computation...

Implementation of Multi-Core Parallel Computation for Real-Time Turning of PID Parameters Based on Genetic Algorithm

Abstract:

The aim of the work described in this paper is to investigate the implementation of Multi-core Parallel Genetic Algorithm (McPGA) for real-time turning of PID parameters based on it using OpenMP. The performance of our scheme is discussed in comparison with that of the Sequential Genetic Algorithm (SGA) program running on the same computer. Numerical experimental results clearly show that McPGA is much better than SGA on convergence, premature and optimized speed. It can be used for PID parameter real-time turning in Industry Process Control Computer (IPC).

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Periodical:

Applied Mechanics and Materials (Volume 159)

Pages:

132-136

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.159.132

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Online since:

March 2012

Authors:

Shuang Shi Zhang, Xu Ben Wang, Wei Hua Wang

Keywords:

Multi-Core Parallel Computation, Parallel Genetic Algorithm (PGA), PID, Real-Time Tuning

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