By analogue experiment of exhaust gas, the sensitive characteristics of titania to air/fuel ratio was investigated. The effects of some impuri- ties on the electric conductivity of TiO_2, the deviation of (A/F)c from ...By analogue experiment of exhaust gas, the sensitive characteristics of titania to air/fuel ratio was investigated. The effects of some impuri- ties on the electric conductivity of TiO_2, the deviation of (A/F)c from (A/F)s in nonequilibrium gas system and the self-catalytic oxidation of TiO_2 were explained respectively. The effects of ca- talyst, porosity and thickness of sensor element on the response time was also analyzed.展开更多
The fuzzy neural networks has been used as means of precisely controlling the air-fuel ratio of a lean-burn compressed natural gas (CNG) engine. A control algorithm, without based on engine model, has been (utilized) ...The fuzzy neural networks has been used as means of precisely controlling the air-fuel ratio of a lean-burn compressed natural gas (CNG) engine. A control algorithm, without based on engine model, has been (utilized) to construct a feedforward/feedback control scheme to regulate the air-fuel ratio. Using fuzzy neural networks, a fuzzy neural hybrid controller is obtained based on PI controller. The new controller, which can adjust parameters online, has been tested in transient air-fuel ratio control of a CNG engine.展开更多
文摘By analogue experiment of exhaust gas, the sensitive characteristics of titania to air/fuel ratio was investigated. The effects of some impuri- ties on the electric conductivity of TiO_2, the deviation of (A/F)c from (A/F)s in nonequilibrium gas system and the self-catalytic oxidation of TiO_2 were explained respectively. The effects of ca- talyst, porosity and thickness of sensor element on the response time was also analyzed.
文摘The fuzzy neural networks has been used as means of precisely controlling the air-fuel ratio of a lean-burn compressed natural gas (CNG) engine. A control algorithm, without based on engine model, has been (utilized) to construct a feedforward/feedback control scheme to regulate the air-fuel ratio. Using fuzzy neural networks, a fuzzy neural hybrid controller is obtained based on PI controller. The new controller, which can adjust parameters online, has been tested in transient air-fuel ratio control of a CNG engine.
