倪 军, 毛罕平, 程秀花. 脱粒滚筒自调整模糊控制及VLSI实现技术[J]. 农业工程学报, 2010, 26(4): 134-138.
    引用本文: 倪 军, 毛罕平, 程秀花. 脱粒滚筒自调整模糊控制及VLSI实现技术[J]. 农业工程学报, 2010, 26(4): 134-138.
    Self-adjustment fuzzy control for threshing cylinder and its VLSI implementation[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(4): 134-138.
    Citation: Self-adjustment fuzzy control for threshing cylinder and its VLSI implementation[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(4): 134-138.

    脱粒滚筒自调整模糊控制及VLSI实现技术

    Self-adjustment fuzzy control for threshing cylinder and its VLSI implementation

    • 摘要: 为了提高脱粒滚筒调速系统的动态性能,研究了轴流脱粒滚筒的控制及其硬件实现问题。介绍了脱粒滚筒自调整模糊控制策略并设计了相应模糊控制器;建立了4LZ-2.0型全喂入联合收获机脱粒滚筒计算机仿真模型和控制仿真系统;提出了一种基于单片FPGA脱粒滚筒自调整模糊控制器的设计方法,并实现了该控制器。结果表明,自调整模糊控制器具有良好的动态性能,并对滚筒负荷突变具有较强的适应性,当负荷突然增加40%时,与常规模糊控制器相比,系统调整时间从0.9 s缩短到0.4 s,最大超调误差从1.5 rad/s降低到1 rad/s。用单片FPGA实现其控制器,方便可行,推理速度快,而且集成度高,是实现智能控制策略的一种有效方法

       

      Abstract: In order to improve transient performance about speed-regulating system of threshing cylinder, the problems about control of axial threshing cylinder and its hardware implementation were discussed. Self-adjustment fuzzy control algorithm about cylinder was introduced and the fuzzy controller was designed. Simulation model about threshing cylinder of 4LZ-2.0 combine and the simulation system about self-adjustment fuzzy control were set up. A hardware implementation about self-adjustment fuzzy controller of cylinder based on a single FPGA (field programmable gate array) was proposed. Results indicated that the self-adjustment fuzzy controller had better dynamic characteristic and adaptability to the abrupt changes about the load of threshing cylinder. Compared with ordinary fuzzy control, when the load increased by 40% abruptly, the system adjusting time reduced to 0.4 s from 0.9 s and overshoot reduced to 1 rad/s from 1.5 rad/s. FPGA technology of self-adjustment fuzzy control about combine cylinder has many advantages, such as convenient timing test, high inference speed and great system integration. It is an efficient method to implement intelligent control strategy.

       

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