Authors

Abstract

In order to improve the level of forage harvester automation and reduce damage, blockage and efficiency, based on the principle of minimum energy, fuzzy prediction theory and external characteristics of power, the mathematical model of the whole machine and each operating unit is established, and a set of forage harvester operating load adaptive feedback control system is designed; in order to make the power more scientifically and effectively distributed in real-time, the system adopts the simplified algorithm of operating unit efficacy threshold load splitting optimization control, with constant power and high efficiency. In order to make the power distribution more scientific and effective in real-time, the system adopts the simplified algorithm of operating unit efficacy threshold load splitting control to increase the load threshold of cutting and other operating units under constant power conditions, so that the operating efficiency of the whole machine can be improved. In the simulation test, the efficacy chopping load threshold ratio is about 1.08:1.01:1 for the three operation control methods of optimized control, fuzzy predictive control and PID control of the forage harvester, with 40% of the original feeding amount perturbation applied respectively. production efficiency was significantly improved.

Abstract in Chinese

为提高饲草收获机自动化作业水平和减损减堵提效，基于最小能量原理、模糊预测理论及动力外特性，建立整机及各作业单元的数学模型，并设计一套饲草收获机作业负荷自适应反馈控制系统；为使动力更加科学有效地实时分配，系统采用作业单元功效阈值负荷分割优化控制简化算法，恒动力条件下，提高切碎等作业单元的负荷阈值，从而使整机作业效能得到提升。仿真试验中，对饲草收获机的优化控制、模糊预测控制及PID控制三种作业控制方式，分别施加40%的原喂入量扰动，功效切碎负荷阈值比约为1.08:1.01:1。经现场试验，切碎负荷阈值比实际约为1.078:1.004:1，该控制算法，使收获机的最大作业能力及其饲草生产效率都得到了明显提高。