There is estrimated more than 750 (public and privat) hospitals active In Poland. In spite that there is legal regulation concerning hospital projects, realization and equipment – permanent financial problems concerning a public health service, results in standards of hospitals, much worse then represented in hospitals in highly developed countries. A long – term practice of authors, concerning both, design and implementation of hospitals, let them to formulate a set of remarks about disfunction, influalcing growth of a danger, risks and mistakes in medical practice, also unexpected accidents.
The paper deals with the application of the extended Kalman filters in the control structure of a two-mass drive system. In the first step only linear extended Kalman filter was used for the estimation of mechanical state variables of the drive including load torque value. The estimation algorithm showed good robustness to mechanical parameters variations. For the system with some parameters changing in the wide range, simultaneous estimation of the state variables and chosen system parameters is required. For this reason the non-linear extended Kalman filter, which estimates simultaneously state variables and mechanical parameters of the two-mass drive system, was developed. Parameters of covariance matrices of used Kalman filters were set using the genetic algorithm. Both proposed estimators were investigated in simulation and experimental tests, in the open-loop operation and in the state-feedback control system of the two-mass system.
In this paper, an analysis of the induction motor control scheme based on the Direct Rotor Flux Oriented Control (DRFOC) for a whole speed range, including fieldweakening (FW) regions is presented. Two field-weakening algorithms have been compared and verified through simulation with a 3.0 [kW] induction motor drive.