论文部分内容阅读
通过总结和分析各国现有振动压路机振动轮调幅装置的不足,提出能够实现智能控制的电液无级调幅系统方案,详述了其组成和调幅原理。针对电液调幅系统具有非线性、大时滞的特点,提出了神经网络自适应PID控制策略,将神经网络自适应补偿器与PID控制器并联,补偿系统参数摄动、非线性和外界扰动对系统控制性能的影响,提高系统的响应速度和控制精度。基于DSP芯片TMS320LF2407A设计了硬件控制器,实现了神经网络自适应PID控制的数字化。结果表明:提出的控制策略相比于传统的PID控制在快速性、准确性方面均具有一定的优越性,为开发智能化振动压路机奠定了基础。
By summing up and analyzing the shortcomings of vibration amplitude modulation devices of vibratory wheels in various countries, the scheme of electro-hydraulic stepless amplitude modulation with intelligent control is put forward. The principle of its composition and amplitude modulation is described in detail. Aimed at the characteristics of electro-hydraulic AM system with nonlinearity and large time delay, a neural network adaptive PID control strategy is proposed. The adaptive PID neural network controller is connected in parallel with the PID controller to compensate for the perturbation of the system parameters, nonlinearity and disturbance System control performance, improve system response speed and control accuracy. Based on the DSP chip TMS320LF2407A designed a hardware controller to achieve neural network adaptive PID control of digital. The results show that compared with the traditional PID control, the proposed control strategy has some advantages in terms of fastness and accuracy, which lays the foundation for the development of intelligent vibratory roller.