The application of vector control techniques in a.c. drives demands accurate position and speed feedback information for the current control and servo-control loops. The paper describes a digital sensorless speed control system for Interior Permanent Magnet Synchronous Machines (IPMSM). A Kalman filter is used to estimate the mechanical state of the motor.

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The control system for position control of the drive employing PMSM based on the principles of sliding mode control and respecting the principles of vector control is presented. Designed controller is chattering free and complies with demanded control precision. Described control technique divides PMSM into two channels, which enable to control motor flux and torque separately. The controller is of the parallel structure, comprising a control loop for control of machine magnetic flux and parallel loop for control of the machine torque and rotor angle. To achieve demanded precision and to eliminate control chattering a smoothing integrator is introduced into both parallel controllers and furthermore the signum function is replaced by a proportional high gain in the final version of the controllers. The simulations and preliminary experimental results indicate that the control systems yield the desired robustness and more complex investigations are recommended.

Geofencing is one of the components in the wider spectra of Ambient Assisted Living related applications. Such applications are meant to provide support to persons with disabilities or to those impaired, as well as to their caretakers. Within this context, geofencing targets the safe mobility of such persons. As mobility related data can be translated into events with a temporal dimension, we have developed a geofencing service based on the Complex Event Processing paradigm. This decision was supported also by the fact that Ambient Assisted Living applications, in general, are often considered for integration into event rich environments, such as those resulting from smart cities infrastructure. The ability of Complex Event Processing to handle vast amounts of time correlated events from multiple sources meets the requirements imposed by the geofencing service. This paper presents the architecture of a Complex Event Processing based geofencing service along with the results obtained during the evaluation phase of the first prototype.

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