Research on Fault Judgment and Motor Control Method of Stuck Resistance in Lifting Groove
In order to solve the problem of the stuck resistance in the lifting load of the gate hoist in hydropower station, a method of the stuck resistance in the lifting load groove with tension difference closed-loop fuzzy control is used. Based on the difference of wire rope tension, the state of stuck resistance in the lifting groove is judged. Taking the tension difference between the two sides of the wire rope as input and the motor control model as output,a fuzzy controller is established to control the operation of the lifting motor, and the real-time detection of the stuck resistance in the groove and the synchronous control of the operation of the lifting motor are realized. The mechanical and electrical co-simulation method is used to verify the fuzzy control of the stuck resistance in the lifting tank. The input variables and output variables of the opening and closing mechanical model are defined in RecurDyn, and the closed loop is formed between the fuzzy controller and the control system in Matlab/Simulink, and the joint simulation of the dynamic model and the control system is realized. The test platform is established to carry out the test verification. The simulation and test results show that the scheme can realize the fault shutdown function in the intelligent transformation of hydropower station gate hoist and hoist, and has engineering application value in the key intelligent technology of hydropower station gate hoist and hoist.
Authors
- Zifan Fang
- Jian‐Xin Shen (ORCID: https://orcid.org/0000-0001-9652-8894)
- Jiwen Tan (ORCID: https://orcid.org/0000-0002-6937-0523)
- Ching-Wen Hou
Institutions
- China Three Gorges University (CN)
- Yangtze River Pharmaceutical Group (China) (CN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/iaecst64597.2024.11117913
- Primary Topic
- Simulation and Modeling Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- China Three Gorges Corporation
- National Natural Science Foundation of China