Accurate position information of an agent (i.e. robot, animal, or people) is a requirement to accomplish several tasks. Some sensors like GPS provide global position estimation but it is restricted to outdoor environments and has an inherent imprecision of a few meters. In indoor spaces, other sensors like lasers and cameras can be used for position estimation, but they require landmarks (or ma...

This paper proposes an extended-flux model with core-loss resistance of SynRMs (synchronous reluctance motors) and precise torque estimation without core-loss measurement and position encoder. The proposed torque estimation is useful for precise MTPA (maximum torque per ampere) control of position sensorless controlled SynRMs, which is achieved with the assistance of active and reactive powers.

In this work a novel method is introduced for the estimation of the position of a self-sensing magnetic levitation system, based on a least squares identification strategy. In the first step, a detailed mathematical model of the magnetic levitation system is derived and the properties of this system are analyzed for the case of a pulse-width modulated control. Based on this model, an estimation...

Requirement for low operating and deployment costs of cellular networks motivate the need for self-organisation in cellular networks. To reduce operational costs, self-organising networks are fast becoming a necessity. One key issue in this context is self-organised coverage estimation that is done based on the signal strength measurement and reported position information of system users. In th...

The accurate information of the initial rotor position is very critical for successful starting of the Surface-mounted Permanent Magnet Synchronous Motor (SPMSM). In order to solve the problems of low accuracy and unreliability in the conventional estimation strategy, in this paper, an improved initial rotor position estimation strategy without any position sensor for SPMSM at standstill is pro...

One of the main problems in the field of mobile robotics is the estimation of the robot’s position in the environment. Position probability grids have been proven to be a robust technique for the estimation of the absolute position of a mobile robot. In this paper we describe an application of position probability grids to the tracking of the position of the robot. The main difference of our me...

This paper proposes a novel heading estimation approach for indoor pedestrian navigation using the built-in inertial sensors on a smartphone. Unlike previous approaches constraining the carrying position of a smartphone on the user's body, our approach gives the user a larger freedom by implementing automatic recognition of the device carrying position and subsequent selection of an optimal str...

This paper describes a simple way to control the Brush Less DC Motor (BLDCM) for electrical applications. To control this machine it is generally required to measure the speed and position of rotor by using the sensor because the inverter phases, acting at any time, must be commutated depending on the rotor position. The position sensors make the motor system more complicated and mechanically u...

This paper presents a talker’s head orientation estimation method using only a single microphone, where phoneme HMMs (Hidden Markov Models) of clean speech are introduced to separate the acoustic transfer function at the user’s position and head orientation. The frame sequence of the acoustic transfer function is estimated by maximizing the likelihood of training data uttered from a given posit...

This paper investigates GPS satellite position estimation and infers conclusions from the analysis performed. The position estimation is done by evaluating a system of equations under both ideal and noisy conditions. A minimum mean squared error filter is then applied to the resulting position data. Additive noise is then applied to the received ephemeris data to simulate a selective availabili...