Design of Coordinated Control Algorithm for Excitation and Valve of New Energy Generator Set Based on Artificial Neural Network

The existing design methods of integrated controller will be difficult to implement when the mathematical model of the system is inaccurate or the specific parameters are unknown, which leads to the difficulty in ensuring the control effect and some limitations, which limits the practical engineering application of these design methods to some extent. In this paper, an algorithm for coordinated control of excitation and valve of new energy generator set based on ANN (artificial neural network) is proposed. FNN(Fuzzy neural network) combines the advantages of fuzzy control technology and ANN theory, so FNN is applied to coordinated control of excitation and valve of new energy generator set. Because the neural network has the function of learning and association, in the actual control process, when the error and its change rate match with the sample points, the controller directly reproduces the memorized principle, and when it does not match with the sample, the controller handles it with similar principle through association to realize the fuzzy control of the system. The simulation results show that the coordinated controller based on FNN has good artificial damping, small oscillation amplitude and adjustment time of only about 3.5s when the mechanical power input by 5s generator takes a 5% step. After the fault, FNN coordinated control method has a relatively small fluctuation range compared with the optimal coordinated control method, and can enter the stable operation state relatively early, showing good adaptability and robustness.