3000W electric start gasoline generator silent generator Ito power

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3000W electric starting gasoline generator generator power




line in brand name: Ito


3KW digital frequency conversion generator YT4000UME-2 product label YT4000UME-2 size (L * W * H) (mm) 575 x 430 x 440 boot recoil, recoil electric packing size (L * W * H) (mm) 600 x 455 x 480 rated frequency (Hz) 5060 weight (kg) (45 of rated voltage V) 220 gross weight (kg) 50 rated current (A) of 12.7 lubricating oil type (CC or above) rated speed (r/min) 3600 engine model special for digital generator rated power (kVA) 2.8 type single cylinder four stroke engine, maximum power (kVA) 3.3 bore X stroke 68X50 DC output 12V-8.3A shift (ML) the 181 phase single-phase compression ratio of 8.5 types of portable rated power [kW (Hp) (r/min) 3.3/3600  (L); fuel tank capacity 12 L T.C.I fuel ignition system set (g/kW.h) 500 spark plug F6RTC/WR7DC continuous operation time (HR) 6.5 h minimum fuel consumption (g/kW.h) 395 noise level dB (A) /7m68-7520 container 144 noise Level (ISO 8528) (full load) 4m/96dB (A) 4/40 feet 304 brand Ito power design and maintenance of the year 2010 low cost, with a certain practical value. Introduces the principle and topologies of SPWM inverter, selection of single-phase voltage type SPWM inverter as the main object of study, the bipolar SPWM, unipolar SPWM and unipolar SPWM three control strategies in detail, and the sampling method is modeled by the asymmetry rule. In addition, the hardware system of single phase inverter based on DSP TMS320LF2407A and IPM intelligent power module is designed.
by the characteristics of chaos random uncertainty and particle swarm optimization space fast convergence, the first round of optimization platform based on data, check emission model. Second wheel optimization based on the development platform and the emission model for virtual calibration, optimization of control parameters, the operating point of the Ito generator control parameters optimization. Compared with the traditional 13 point method, the optimization efficiency of the optimization is greatly improved, and the optimization cost is reduced. />