No abstract

<p>This paper explains an adaptive method for estimation of unknown parameters of transfer function model of any system for finding the parameters. The transfer function of the model with unknown model parameters is considered as the adaptive model whose values are adapted with the experimental data. The minimization of error between the experimental data and the output of the adaptive model have been realised by choosing objective function based on different error criterions. Nelder-Mead optimisation Method is used for adaption algorithm. To prove the method robustness and for students learning, the simple system of separately excited dc motor is considered in this paper. The experimental data of speed response and corresponding current response are taken and transfer function parameters of  dc motors are adapted based on Nelder-Mead optimisation to match with the experimental data. The effectiveness of estimated parameters with different objective functions are compared and validated with machine specification parameters.</p>

In this paper, an overall comparison between the Quadratic Boost Converter (QBC) & Cascaded Converter or Cascaded Boost Converter (CBC) is given in terms of ideal condition, as well as with the consideration of Equivalent Series Resistance (ESR) of inductor-capacitor. The differences in the voltage gain due to the individual effect of inductive and capacitive ESR is shown in this paper. The parameters of the converters are found out with a consideration of per unit ripple quantity of inductor current and capacitor voltage. It is seen that in QBC & CBC voltage gain is same but the power stress rating of the switch in prior one is more compared to the later. At the end, the simulation results of both the converters are given for a 20V/98V, 100 W output. The analysis and simulation results are presented in this paper for the verification of the feasibility.

No abstract

No abstract

No abstract

No abstract

No abstract