Abstract:To meet the special requirement of the transient air-fuel ratio control for lean burn engine, a sliding mode-neural network control scheme was presented. The sliding variable structure control strategy has been provided as feedback to control the air-fuel ratio. At the same time, the neural network method was applied to build the intake air flow observer and realize the instantaneous fuel compensation as feedforward. By way of employing the engine control system that developed by ourselves, the lean burn engine air-fuel ratio control experiments were carried out on a lean burn gasoline engine. The experiments results showed that the maximal overshoot of air-fuel ratio is one AFR unit and the longest transient period is less than 3 seconds when the throttle body moves rapidly. The more slowly the engine worked, the more rapidly the throttle body moved; the bigger the overshoot of air-fuel ratio was, the longer the transient period would be. |
Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.
|