Hydraulic turbine governing optimal control system research
| Autor: | Yong-ling Li, Zuo-liang Yang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
business.industry 020209 energy Open-loop controller PID controller Control engineering 02 engineering and technology Control theory Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Optimal control system Quantum particle swarm optimization business Control effect Hydraulic turbines |
| Zdroj: | 2017 29th Chinese Control And Decision Conference (CCDC). |
| DOI: | 10.1109/ccdc.2017.7978642 |
| Popis: | A linear active disturbance rejection controller is used to control the running hydro-generating unit with large disturbances. Because there is non-minimum phase in hydraulic turbine regulating system, it is hard to adjust the linear active disturbance rejection controller parameters which depended on experience to a large extent. In order to solve the problem, the high speed convergence quantum particle swarm optimization (QPSO) algorithm is put forward to optimize the LADRC controller parameters. At first, it used the typical test functions to verify the effectiveness of the proposed algorithm, and then it was utilized to optimize LADRC controller parameters of hydraulic turbine regulating system. The simulation results show that the optimized linear disturbance rejection controller can restrain overshoot, reduce negative regulation and shorten adjustment time, it still has strong robustness, and can achieve better control effect than the PID controller especially when the system conditions change. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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