Simple, cheap and reliable echo-based ultrasonic ranging systems such as the Polaroid ranging unit are easily applied to indoor applications. However, to measure the range between an unmanned helicopter and a moving ship deck at sea using ultrasound requires a more robust ranging system, because rushing air and breaking water are known ultrasound noise sources. The work of designing, constructing and testing such a system is described in this dissertation. The compact, UAV ready ultrasound transmitter module provides high power, broadband arbitrary signal generation. The separate field-ready receiver is based on a modern embedded Digital Signal Processor (DSP), providing high speed matched-filter correlation processing. Large time-bandwidth signalling is employed to maximise the signal to noise ratio of the ranging system. Synthesised experiments demonstrate the ability of the correlation processing to reliably recover timing from signals buried in noise. Real world experiments demonstrate decimetre accuracy with two centimetre resolution, ten metre range and 32Hz refresh rate. A maximum boresight range of up to 38m is supported.

This thesis uses TMS320LF2407A DSP from T.I. as the control kernel .It proposes a method of sensorless driver and variable speed driver with current feedback for the rotary compressor. By detecting the back electromotive force signals, the information of rotor position can be detected by the commutation process and the speed estimation can also be achieved. In order to make the system more robust and the improve the power consumption, adaptive controller and close loop structure are adapted. At last, the experimental system structure is built, and the advantages improvement efficiency of the system with sensorless driver¡Bspeed and current feedback were be verified by experiment.

This study aims to design a Shunt Semi-Active Power Factor Correction Circuits , which can be applied to high power circuit by low switching frequency. The designed circuit can avoid power loss working with high switching frequency when using the method of active power factor correction .The experimental configuration based on DSP is applied to a compressor of air conditioner with varied load. The simulation check the developed circuit using Ispice . Both of the experimental and simulation results have guaranteed the derived configuration reach the expected goals.

Due to the differences in batteries of a series-connected battery bank, the restored capacity in each battery may not be the same when being charged. In order to extend battery cycle life, the charger for the battery bank must have the capability of charging equalization. This thesis proposes a non-dissipative balance charging circuit based on buck-boost topology for a series-connected battery bank. Each battery in a battery bank is associated with a buck-boost converter. This topology can efficiently alleviate the unbalance of charge among batteries by taking off the charge from the affluently charged batteries and then allotting to those insufficient ones. To accomplish this complicated and accurate control, a digital signal processor (DSP) with sensors and interface circuits is adopted. It monitors the variations of battery voltages, activates the associated buck-boost converter, and adjusts the duty ratio of the converter to regulate the energy to be released. In virtue of the adoption of digital control kernel, the control circuit can be simple and the control flexibility can be favored. A battery bank with four series connected lead-acid batteries is used for illustrating the operating behavior and describing the operation modes of the balance charging circuit. The results of experiments convincingly advocate the applicability of the proposed approach.

The objective of this thesis is to design and implement a velocity-stabilizing driver for permanent magnet synchronous motor. The research presents how to achieve high efficiency in stabilizing overall velocity for a permanent magnet synchronous motor. In order to drive the integral system, there are six steps square-wave starting device, sine-wave driver, estimation of magnetic angle, velocity feedback and current feedback control circuits designed. A test platform is built by Microchip-made dsPIC33FJ128MC804 digital signal processor used as a control core. ¡§Simulink¡¨ simulator is used during the laboratory test. The simulation results are compared with those of experiments in order to verify the achievement of excellent performance of Robust Integral Velocity-stabilizing Controller on Permanent Magnet Synchronous Motor Driver.

1.1 Objectius de la tesi.En els últims anys el control del parell i de la velocitat del motor d'inducció ha estat llargament estudiat. Un cop s'ha considerat que les prestacions dinàmiques assolibles eren ja suficientment satisfactòries, els diferents investigadors han reorientat els seus esforços cap a altres enfocs relacionats, ja no únicament amb el MI estrictament parlant, sinó amb tot el sistema que constitueix l'accionament amb si mateix.L'objectiu principal d'aquesta tesi és posar en evidència, l'existència d'unes idealitzacions i limitacions dels controls tradicionals de parell i velocitat del motor d'inducció (bàsicament del Control Vectorial i del DTC), així com a proposar mètodes i algorismes alternatius que superin a les mateixes.1.2 Estructura i contingutEl Capítol 1 conté una introducció al treball.El segon capítol Modelització del motor d'inducció, presenta les principals tècniques i equacions, que porten a descriure d'una forma dinàmica al MI.El tercer capítol, Control de parell i velocitat del MI, es descriuen els Control Vectorial i el Control Directe de Parell (DTC), ja que són els més estudiats en la literatura.El quart capítol, Estudi dels bucles de corrent, tracta més en profunditat una de les limitacions que presenta el Control Vectorial, l'estudi de les interaccions que hi ha entre els dos llaços de regulació de les intensitats de l'estator (la seva component directa i en quadratura).En el cinquè capítol, OSVPWM (Optimized Space Vector PWM), es presenta un estudi detallat dels diferents mètodes d'ondulació (DC/AC) que existeixen. D'entre tots aquests, s'estudia amb molt més deteniment el Space Vector PWM (SVPWM), aportant un nou algorisme d'implementació del mateix (optimitzat per DSP's), així com posant en evidència la negativa influència dels temps morts sobre el mateix.El sisè capítol presenta l'ODTC (Optimized Direct Torque Control), com a resum de tots els capítols anteriors.1.3 Aportacions d'aquesta tesi.En la modelització matemàtica del Motor d'Inducció, s'ha arribat a la formulació d'una equació genèrica, que engloba totes les possibles referències, i totes les definicions d'intensitats magnetitzants.En l'estudi del DTC s'ha presentat una nova taula de commutació, que permet disminuir l'excessiu arrissat de parell que presenta la taula de commutació tradicional.En l'estudi del SVPWM s'ha presentat una nova formulació molt més apta per a la seva implementació en DSP (Digital Signal Processor). Igualment, s'ha posat en evidència la important influència dels temps morts dels interruptors, en la THD (Tasa de Distorsió Harmònica) de l'ona de tensió de sortida de l'ondulador proposant un algorisme de compensació (OSVPWM).S'ha proposat un nou algorisme de control del parell del MI, incorporant les prestacions del DTC en règim transitori (ràpida resposta del parell), i les prestacions del Control Vectorial en règim permanent (petit arrissat de parell), amb la incorporació de l'OSVPWM com a estratègia de modulació.Finalment destacar, l'aportació d'un equip experimental basat en DSP, de disseny molt versàtil i robust, i que incorpora tota una sèrie d'eines de desenvolupament que el fan molt útil per a l'experimentació de noves lleis de control, referides principalment al motor d'inducció, però que també s'ha demostrat eficient alhora de treballar amb altres plantes com és el cas dels SAI's (Sistemes d'Alimentació Ininterrompuda).1.4 Futures línies de recerca.Seguir treballant en l'estudi del OSVPM, però en el cas de la sobremodulació, és a dir, quan la tensió de consigna superi o surti fora dels rangs d'aplicabilitat del mateix.Amb l'obtenció de l'equació que ens permet estimar l'arrissat màxim de parell, associat al conjunt motor-ondulador, estudiar el disseny de controladors per histèresi de banda d'histèresi variable (funció de l'estat de l'accionament).Finalment destacar, que amb el constant augment de la potència de càlcul dels DSP, les possibilitats de noves lleis de control del MI ("fuzzy logic" i "passivity control") són cada dia més possibles, i per tant s'han convertit en una línia de treball molt interessant.

Spacecraft missions such as spacecraft docking and formation flying require high precision relative position and attitude data. Although Global Positioining Systems can provide this capability near the earth, deep space missions require the use of alternative technologies. One such technology is the vision-based navigation (VISNAV) sensor system developed at Texas A&M University. VISNAV comprises an electro-optical sensor combined with light sources or beacons. This patented sensor has an analog detector in the focal plane with a rise time of a few microseconds. Accuracies better than one part in 2000 of the field of view have been obtained. This research presents a new approach involving simultaneous activation of beacons with frequency division multiplexing as part of the VISNAV sensor system. In addition, it discusses the synchronous demodulation process using digital heterodyning and decimating filter banks on a low-power fixed point DSP, which improves the accuracy of the sensor measurements and the reliability of the system. This research also presents an optimal and computationally efficient six-degree-of-freedom estimation algorithm using a new measurement model based on the attitude representation of Modified Rodrigues Parameters.

Spacecraft missions such as spacecraft docking and formation flying require high precision relative position and attitude data. Although Global Positioining Systems can provide this capability near the earth, deep space missions require the use of alternative technologies. One such technology is the vision-based navigation (VISNAV) sensor system developed at Texas A&M University. VISNAV comprises an electro-optical sensor combined with light sources or beacons. This patented sensor has an analog detector in the focal plane with a rise time of a few microseconds. Accuracies better than one part in 2000 of the field of view have been obtained. This research presents a new approach involving simultaneous activation of beacons with frequency division multiplexing as part of the VISNAV sensor system. In addition, it discusses the synchronous demodulation process using digital heterodyning and decimating filter banks on a low-power fixed point DSP, which improves the accuracy of the sensor measurements and the reliability of the system. This research also presents an optimal and computationally efficient six-degree-of-freedom estimation algorithm using a new measurement model based on the attitude representation of Modified Rodrigues Parameters.

This master thesis is focused on the theoretical description and practical implementation of software defined transmitter. The main aim of this thesis was made the prototype of software defined transmitter in FM band. Theoretical part is determined to description of basic parts of equipment and working principles to understand the basic principle of digital transmitters and define the appropriate component base for construction. Discussed are used types of A/D and D/A converters, blocks of digital signal processing and the roles, which these components performs. The second part is focused practical. Specified are suitable types of components and block diagram is proposed for following electrical connection and printed circuit board in Eagle program as a plug-in modul for developmental platform Arduino. The main point is program, which sets and controls the transmitter. Next important part is impedance match and antenna tuning, which is explain in practical part of thesis. The result is prototype of software defined transmitter compatible with Arduino Uno platform.

Machine learning is rapidly being integrated into all areas of society, however, that puts a lot of pressure on resource costraint hardware such as embedded systems. The company Ericsson is gradually integrating machine learning based on neural networks, so-called deep learning, into their radio products. One promising product is their vectorized Digital Signal Processor (DSP) that are based upon the machine learning suitable Single Instruction, Multiple Data (SIMD) paradigm and Very Long Instruction Word (VLIW) architecture. However, despite the suitability of the SIMD paradigm, the embedded system needs to efficiently execute a computation-intensive deep learning algorithm with proper use of its limited resources. Therefore commonly used methods of implementing each layer of the computation-intensive Convolutional Neural Network (CNN), a type of Deep Neural Network (DNN), have been used and evaluated its implementation on the hardware and to assess the vectorized DSP’s deep learning suitability and capabilities. Despite the suitability of the hardware, the implementation utilized less than half of the available resources at all times during the execution. The main limitations were identified to be the limited 16-bit element instructions. To enhance the performance and improve the utilization of the available resources, easy-to-implement hardware instructions have been suggested. This work has made the first steps of implementing an efficiently performing CNN implementation on the examined vectorized DSP. / Integreringen av maskininlärning in i alla samhällsområden sker idag i rusande fart, men det sätter stor press på begränsad hårdvara som inbyggda system. Företaget Ericsson integrerar successivt maskininlärning baserad på neurala nätverk, så kallad djupinlärning, i sina radioprodukter. En lovande produkt är deras vektoriserade DSP som är baserade på maskininlärningspasset SIMD-paradigm och VLIW-arkitektur. Men trots lämpligheten av SIMD-paradigmet, är den största utmaningen att utnyttja de begränsade resurserna i inbyggda systemet för att effektivt exekvera en beräkningsintensiv djupinlärningsalgoritm. Därför har vanligt använda metoder för att implementera varje lager av den beräkningsintensiva CNN, en typ av DNN, använts och utvärderats på hårdvaran för att bedöma den vektoriserade DSP:s djupinlärningslämplighet samt förmågor. Trots hårdvarans lämplighet använde alla implementeringar mindre än hälften av de tillgängliga resurserna vid alla tidpunkter under exekveringen. De huvudsakliga begränsningarna identifierades vara den begränsade tillgången på 16-bitars element instruktioner. För att förbättra prestandan för ett närmare fullt utnyttjande av tillgängliga resurser har hårdvaruinstruktioner som är enkla att implementera föreslagits. Detta arbete har tagit de första stegen för att implementera ett effektivt förformande CNN på den undersökta vekotriserade DSP.