RESEARCH ON OPTIMAL CONTROL ALGORITHM FOR POWER CHARACTERISTICS SEGMENTATION OF FORAGE HARVESTER
DOI : https://doi.org/10.35633/inmateh-69-02
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