RESUMEN
This paper proposes a novel adaptive-gain generalized super twisting algorithm for permanent magnet synchronous motors. The stability of this algorithm is strict proof using the Lyapunov method. Both controllers of the speed-tracking loop and the current regulation loop are designed according to the proposed adaptive-gain generalized super twisting algorithm. Dynamically adjusted gains in the controllers can improve the transient performance and system's robustness while reducing chattering. A filtered high-gain observer is applied in the speed-tracking loop to estimate the lumped disturbances, including parameter uncertainties and external load torque disturbances. The estimates feeding forward to the controller further improve the robustness of the system. Meanwhile, the linear filtering subsystem reduces the sensitivity of the observer to the measurement noise. Finally, experiments are constructed using the adaptive gain generalized super twisting sliding mode algorithm and the fixed gain one, showing the effectiveness and advantages of the proposed control scheme.
RESUMEN
The ozone variation led by biomass burning in Spring 2000 over South East Asia and South of China region was simulated with a combined regional climate model and atomospheric chemical model. It was found that ozone was added by the pollutant of biomass burning both over source area and down wind area. The ozone of lower troposphere was affected by the pollutant over source area, so did the ozone in middle troposphere over down wind area. An ozone increase of 9.0-12.0 x 10(-2) g/m2 over South of China was found. The range of ozone increase between 1000-900 hPa over source area was more than 36 x 10(-9) m3/m3.