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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 experimentaldoi:10.1051/matecconf/202030603002 fatcat:cnyahrob2ngb3iwa336j2aiwky