摘要
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 hydraulic motor speed control system, Matlab_Simiulink and AMESim co-simulation technology is adopted to establish more accurate model and reflect the actual system. The neural network proportion-integration-differentiation (PID) control parameters on-line adjustment is utilized to improve system accuracy, celerity and stability. Simulation results indicate that with the control system proposed in this paper, the system deviation is reduced, therefore accuracy is improved; response speed for step signal and sinusoidal signal gets faster, thus acceleration is rapidly improved; and the system can be restored to the control value in case of interfering, so stability is improved.
关键词
转速控制系统
联合仿真
神经元网络
PID控制
speed control system
co-simulation
neural network
proportion-integration-differentiation (PID) control