| 1 | Seasonal variability of ambient NH_3, NO, NO_2 and SO_2 over Delhi显示文摘We present the diurnal and seasonal variability of ambient NH3, NO, NO2 and SO2 over Delhi, India. Ambient NH3, NO and NO2 were measured continuously during winter, summer and autumn seasons using NH3- and NOx-analyzer, which operates by chemiluminescence method with a higher estimation efficiency (> 90%) than the chemical trap method (reproducibility 4.7%). Prominent diurnal, day-to-day and seasonal variations of ambient mixing ratio of NH3, NO, NO2 and SO2 were observed during the study period. Seasonal variation with higher mixing ratio in winter was observed for all measured trace gases except NO. Day-night variation of all measured trace gases observed was higher in winter in comparison with summer. Late morning increase in NO2 mixing ratio might be attributed to conversion of NO to NO2 with the interaction of O3. | S.K.Sharma A.Datta T.Saud M.Saxena T.K.Mandal Y.N.Ahammed B.C.Arya | 2010 | Journal of Environmental Sciences2010，22，7： | 2 |
| 2 | Measurement-based control approach for tuning PID controllers:application to induction machines显示文摘This paper presents an approach to design proportional-integral-derivative controllers for inductionmachines usingmeasurements.Most controlmethods developed for induc-tion machines are generally based on mathematical models.Due to complex dynamics of induction machines,identified models are often unable to perfectly describe their behaviour.Thus,the system performance will be limited by the quality of the identified model.Hence,developing control methods that do not require the availability of system model is advantageous.Here,we propose an approach that uses the frequency response data to directly design controllers.The main idea here is to find controller parameters so that the closed-loop frequency response fits a desired frequency response.Its main advantage is that errors associated with the modelling process are avoided.Moreover,the control design process does not depend on the order and complexity of the plant.A practical application to induction machines illustrates the efficacy of the proposed approach. | S.Khadraoui M.A.Fnaiech H.N.Nounou M.N.Nounou J.Guzinski H.Abu-Rub A.Datta S.P.Bhattacharyya | 2016 | Journal of Control and Decision2016，3，3： | 1 |
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