MATEC Web Conf.
Volume 306, 2020The 6th International Conference on Mechatronics and Mechanical Engineering (ICMME 2019)
|Number of page(s)||5|
|Section||Control Theory and Control Engineering|
|Published online||14 January 2020|
Research on load simulator control strategy based on BP neural network and PID method
School of Aeronautics, Northwestern Polytechnical University, Xi’an, China
* Corresponding author: firstname.lastname@example.org
In the research of load simulator control method, PID control is the most widely used control strategy, but PID controller’s three parameters is difficult to set. This paper proposes a BP neural network feedforward PID controller system which uses BP neural network for setting these parameters, and in order to make the network learning speed up the convergence speed and not fall into local minimum, the adaptive vector method is adopted to improve the algorithm. The simulation and experimental results show that this method is good at avoiding the primeval shock and the sine tracking performance of the system has also been improved.
© The Authors, published by EDP Sciences 2020
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