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| Application of the PID Parameters Self-tuning Based on IPSO in Headbox Total Pressure Control |
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| DOI：10.11980/j.issn.0254-508X.2015.11.008 |
| Key Words:headbox total pressure PID self-turning improved particle swarm optimization |
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| Abstract:The control of dilution hydraulic headbox total pressure is directly related to the paper’s quality. However, the accuracy of traditional PID turning is low, while the standard particle swarm optimization algorithm(PSO) could improve the accuracy but it had a disadvantage of slow convergence speed.Aiming at those problems, an improved particle swarm optimization algorithm(IPSO) was adopted to self-tune PID parameters in this paper. The speed and accuracy of optimization were improved by using the nonlinear decreasing inertia coefficient and dynamic acceleration factors. Simulation results showed that the headbox total pressure PID controller turned by IPSO algorithm had a better response speed and robustness. |
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