Switching nonlinear model predictive control of collaborative railway vehicles in catenary grids

This article contributes to the railway control field by proposing a novel approach capable of making trains collaborate, while also minimizing both traction energy and power line losses in catenary grids. The train dynamics are captured by a combination of four operating modes, so that the formulation of a switched control problem naturally applies. This model is interfaced with that of the catenary grid, consisting of the electrical substations and transmission lines over the track. Relying on these models, an eco-drive control system is proposed based on an original switching nonlinear model predictive control (SNMPC). Being collaborative-conceived, the new SNMPC is compared and evaluated against a noncollaborative version of the controller by means of simulation case studies relying on real-world test data, a validated train model, and measured track topology. We obtain that the proposed SNMPC outperforms the noncollaborative counterpart both in terms of traction energy and energy losses on the train rheostats and over the electrical lines. Thus, we demonstrate that the proposed SNMPC for collaborative eco-drive, based on the energy exchange between trains, has a potential positive impact on railway systems in catenary grids

Sensored and sensorless speed control methods for brushless doubly fed reluctance motors

The study considers aspects of scalar V/f control, vector control and direct torque (and flux) control (DTC) of the brushless doubly fed reluctance machine (BDFRM) as a promising cost-effective alternative to the existing technological solutions for applications with restricted variable speed capability such as large pumps and wind turbine generators. Apart from providing a comprehensive literature review and analysis of these control methods, the development and results of experimental verification, of an angular velocity observerbased DTC scheme for sensorless speed control of the BDFRM which, unlike most of the other DTC-concept applications, can perform well down to zero supply frequency of the inverter-fed winding, have also been presented in the study

Stability of Systems with Stochastic Delay

Stability of systems with stochastic delays is addressed in this dissertation. A linear delay differential equation is considered where the delay takes values from a finite set of numbers according to a probability distribution function. Exact stability conditions for the resulting system are obtained. These conditions depend on the parameters of the system, the delay values and the probability distribution function governing the delay. The stability criteria are first obtained in a discretetime setting after discretizing the continuous-time system. Then, the stability conditions are obtained in a continuous-time setting where an operator description of delay differential equations is used. The stability results are applied to models of gene regulatory networks. The results can determine whether a steady state protein production is stable or oscillations in protein levels may arise as a result of stochastic fluctuations in reaction times. Finally, the interplay between noise in the gene expression level and noise in the population level in microbial consortia is investigated. The results suggest a mechanism for creating robust oscillations in multicellular environments.PHDMechanical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/144051/1/mehsad_1.pd

Nonlinearly perturbed stochastic processes

This paper is a survey of results presented in the recent book [25]). This book is devoted to studies of quasi-stationary phenomena in nonlinearly perturbed stochastic systems. New methods of asymptotic analysis for nonlinearly perturbed stochastic processes based on new types of asymptotic expansions for perturbed renewal equation and recurrence algorithms for construction of asymptotic expansions for Markov type processes with absorption are presented. Asymptotic expansions are given in mixed ergodic (for processes) and large deviation theorems (for absorption times) for nonlinearly perturbed regenerative processes, semi-Markov processes, and Markov chains. Applications to analysis of quasi-stationary phenomena in nonlinearly perturbed queueing systems, population dynamics and epidemic models, and risk processes are presented. The book also contains an extended bibliography of works in the area

Asymptotic Expansions for Stationary Distributions of Perturbed Semi-Markov Processes

New algorithms for computing of asymptotic expansions for stationary distributions of nonlinearly perturbed semi-Markov processes are presented. The algorithms are based on special techniques of sequential phase space reduction, which can be applied to processes with asymptotically coupled and uncoupled finite phase spaces.Comment: 83 page

A wideband supply modulator for 20MHz RF bandwidth polar PAs in 65nm CMOS

A wideband modulator for a 20MHz bandwidth polar modulated PA is presented which achieves a maximum efficiency of 87.5% and a small signal -3dB bandwidth of 285MHz. Realized in 65nm CMOS, it consists of a cascoded nested Miller compensated linear amplifier and a class D switching amplifier. It can deliver 22.7dBm output power to a 5.3Ω load. With a switching frequency of 118MHz, the output switching ripple is 4.3mVrms. Keywords: supply modulator, power amplifier, CMOS and cascoded nested Miller

Application of advanced on-board processing concepts to future satellite communications systems: Bibliography

Abstracts are presented of a literature survey of reports concerning the application of signal processing concepts. Approximately 300 references are included