Thermal Power Plants Main Steam Temperature System Control Based on Implicit PIGPC

Authors

Zhongda Tian, School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China;
Shujiang Li, School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China;
Yanhong Wang, School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China;

Abstract

Abstract: Aiming at the large inertial time-delay characteristic of main steam temperature control system on the thermal power plants, a control method based on Implicit PI-based generalized predictive controller (GPC) was proposed. The implicit PIGPC algorithm with PI structure was proposed based on implicit GPC, implicit PI-based GPC combined the advantages of PI control and implicit GPC, the feedback structure of PI and prediction function of GPC was combined. The predictive control algorithm with PI structure was obtained through a new objective function, the performance of controller was improved. At the same time, the stability of the compensation algorithm was analyzed. Simulation results show that the proposed method has a good control effect in the response time, overshoot, anti-interference and other indicators.

Recommended Citation

Tian, Zhongda; Li, Shujiang; and Wang, Yanhong (2020) "Thermal Power Plants Main Steam Temperature System Control Based on Implicit PIGPC," Journal of System Simulation: Vol. 29: Iss. 2, Article 29.
DOI: 10.16182/j.issn1004731x.joss.201702029
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss2/29

First Page

445

Revised Date

2015-07-06

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201702029

Last Page

452

CLC

TP273

Recommended Citation

Tian Zhongda, Li Shujiang, Wang Yanhong. Thermal Power Plants Main Steam Temperature System Control Based on Implicit PIGPC[J]. Journal of System Simulation, 2017, 29(2): 445-452.

DOI

10.16182/j.issn1004731x.joss.201702029