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为设计有效的阀控液压马达转速控制系统,采用AMESim和Matlab_Simiulink联合仿真技术来建立准确的模型,以更好地反应实际系统。将神经元控制应用于PID参数在线调整中,提高了系统的准确性、快速性和稳定性。仿真结果表明,所设计的系统偏差减小,准确性提高;对于阶跃信号、正弦信号的响应速度加快,快速性提高;在系统施加干扰的情况下,能够恢复到控制值,稳定性提高。
In order to design an effective valve control hydraulic motor speed control system, AMESim and Matlab_Simiulink co-simulation technology is used to establish an accurate model to better reflect the actual system. Applying neuron control to PID parameter online adjustment improves the accuracy, speed and stability of the system. The simulation results show that the system deviation is reduced and the accuracy is improved. For the step signal, the response speed of the sinusoidal signal is quicker and the speed is faster. When the system is disturbed, the control value can be recovered and the stability can be improved.