Journal of System Simulation
Abstract
Abstract: The linear active disturbance rejection control is difficult to obtain good control effect as its parameters are not easy to get. A gravitational search algorithm based on Nelder-Mead (NM) simplex search was presented. The replace mechanism of NM simplex search and the particles update method of gravitational search algorithm were combined together in this algorithm. Simplex method has strong local search ability, therefore, the algorithm can overcome the shortcomings of gravitational search algorithm plunging into the local optimal. The proposed algorithm was applied to the parameter optimization of linear active disturbance rejection controller of hydraulic turbine governor system. Simulation results show that: the optimized linear active disturbance rejection control can well suppress overshoot, reduce the negative tone and shorten adjustment time. When system conditions change, control results are still satisfactory. The control performance is much better than PID controller in anti-interference as it has strong robustness.
Recommended Citation
Yu, Huang and Wang, Jiarong
(2020)
"Optimized Linear Active Disturbance Rejection Controller Design for Hydraulic Turbine Governing Systems,"
Journal of System Simulation: Vol. 28:
Iss.
12, Article 22.
DOI: 10.16182/j.issn1004731x.joss.201612022
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol28/iss12/22
First Page
3033
Revised Date
2016-04-13
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201612022
Last Page
3040
CLC
TK730
Recommended Citation
Huang Yu, Wang Jiarong. Optimized Linear Active Disturbance Rejection Controller Design for Hydraulic Turbine Governing Systems[J]. Journal of System Simulation, 2016, 28(12): 3033-3040.
DOI
10.16182/j.issn1004731x.joss.201612022
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