DPF再生入口温度模糊控制研究
Exploring Fuzzy Control of Inlet Temperature of Diesel Particle Filter During Regeneration

柴油车颗粒捕集技术可以有效降低黑烟排放量，但是随着捕集量的增大，排气背压也相应增大。采取喷油助燃再生方式可以去除过滤器内沉积颗粒，降低排气背压。针对目前喷油助燃再生控制系统难以开发、成本高的特点，采用STC89C52单片机设计了一套自动高效的闭环控制系统。本系统应用模糊控制算法实时调整喷油量与补气量，以智能调控柴油颗粒过滤器入口温度，从而达到减少再生二次污染，提高再生效率及延长过滤体使用寿命的目的。
The diesel particulate trap technology can effectively reduce black smoke emissions. But as the amount of trap increases, exhaust back pressure increases accordingly. Adopting the regeneration of fuel injection combustion mode, we can remove deposited particles and lower exhaust back pressure. Aiming at reducing the high cost and difficulty in developing the current regeneration control system of injection combustion, we adopt the STC89C52 single-chip microcomputer to design an automatic and efficient closed loop control system. With the control system,the fuzzy control algorithm is applied to adjusting the quantity of fuel injection and air compensation timely to realize the intelligent control of the inlet temperature of the DPF (diesel particle filter) so as to reduce the secondary pollution during regeneration and to improve the regeneration efficiency and prolong the service life of the diesel particle filter