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Modeling of soot emission for heavy-duty diesel engines in transient operation

The soot emissions from diesel engines are much higher in transient operation than during steady state operation. In this thesis, a method for estimating the soot mass flow emission in transient drive cycles is presented. The proposed method uses stationary emission maps in combination with step responses. Bandpass filters are used to filter the engine torque/power to provide transient detection a

Deriving and implementing a model of the fifth generation Haldex AWD actuator

The objective for this master thesis has been to develop a mathematical model of the actuator parts of the fifth generation Haldex AWD system. The parts to be modeled are the DC-Machine and the pump. Also a model of the elasticity of the clutch has to be derived as well as a model for the hydraulic fluid. These models were then to be implemented in Matlab Simulink. The model was derived by means o

Lean Production - Identification of essential KPIs in a medical production process and design of a visual interface

Introduction: Rockwell Automation needs to understand how a lean company wants to visualize different KPIs. Ambu wants to see the value of using such visualization in their company and the effect it might have.Thus the two parts fulfill each other's needs and are the perfect match. Purpose: The purpose of the master thesis is to identify essential KPIs in a medical production process and desi

Resource reservation and power management in Android

Saving battery time for mobile devices has been a goal for the industry for many years. With the advent of smartphones, reduction of energy consumption is even more important since they consume a lot more energy than the generation of mobile phones before them. Consumers are demanding longer battery life and greener electronics. One way to meet these demands is to reduce energy consumption. In ord

Function of Cerebellar Microcircuitry within a Closed-loop System during Control and Adaptation

The human motor control is both robust and stable, despite large delays and highly complex motor systems with an abundance of actuators, sensors and degrees of freedom. The cerebellum is thought help accomplish this by compensating for external loads and internal limitations and disturbances through adaptation, creating inverse models of the motor system dynamics. The cerebellum does also exhibit

Design and evaluation of a distributed control architecture over switched Ethernet in active filters

The area of power quality has received more and more attention during the last decade. Poor power quality is a growing problem, especially for the industry because it has a negative effect on production efficiency, power consumption and equipment life-span. Active filters are one of the more widespread solutions to these problems. An active filter is often sized and installed to compensate a speci

Automatic exposure control in network video cameras

The overall objective of this study is to describe, analyse and suggest improvements on existing automatic exposure control systems in selected network video cameras. Since an image sensor has a limited dynamic range compared to a real scene, it is necessary to automatically control the exposure level and thus adapt to the amount of light in the scene. This can be done by adjusting parameters such

Design of an Energy-Efficient Climate Control Algorithm for Electric Cars

A climatisation controller for a car with multiple objectives is developed, implemented and tested in simulations. The design focuses on electric cars and their specific characteristics. In this context the goal has been to fulfil common comfort and safety standards while having a low energy consumption. The main idea of the control in order to achieve this is to use a simplified model predictive

Distributed Control of Wind Farm

The growing use of wind energy as major energy source, has led to the construction of large wind farms. The control of such wind farms is typically separated into control at wind turbine level and at wind farm level. The wind farm controller assures that the wind farm produces the demanded amount of power, by providing set-points for the turbines in the farm. The local turbine control assures that

Modeling, Control and Automatic Code Generation for a Two-Wheeled Self-Balancing Vehicle Using Modelica

The main goal of this project was to use the Modelica features on embedded systems, real-time systems and basic mechanical modeling for the control of a two-wheeled self-balancing personal vehicle. The Elektor Wheelie, a Segway-like vehicle, was selected as the process to control. Modelica is an object-oriented language aimed at modeling of complex systems. The work in the thesis used the Modelica

Haptic Interface for a Contact Force Controlled Gantry-Tau robot

Robotic science points to integrate the robot in the normal life and operations, with the scope to help humans and improve their performance. Haptic is the field that tries to insert the sense of touch in the computer applications. It is easy to understand the modern interest to mix the robotic with haptic. One possible problem with this configuration could be the delay in the communication betwee

Adaptive Control of Arm Movement based on Cerebellar Model

This study is an attempt to take advantage of a cerebellar model to control a biomimetic arm. Aware that a variety of cerebellar models with different levels of details has been developed, we focused on a high-level model called MOSAIC. This model is thought to be able to describe the cerebellar functionality without getting into the details of the neural circuitry. To understand where this model

Model Predictive Control for Stock Postfolio Selection

The motivation behind the thesis lies in some interesting results in the article 'Portfolio Optimization Applications of Stochastic Receding Horizon Control' written by James Primbs, regarding applying control theory to problems in the financial market. The purpose will be to implement a method called Model Predictive Control, MPC, for selecting optimal portfolio weights in two portfolios

Identification and Modeling of Sensory Feedback Processing in a Brain System for Voluntary Movement Control

The body shows impressive control capabilities in terms of the speed and the precision with which movements can be carried out under a wide variety of circumstances. The cerebellum and brainstem nuclei, including the cuneate nucleus, are believed to play a crucial role in this control. If these control mechanisms can be unveiled, this could yield important insights in not only medicine and neuroph

Kinematic and Force Control for a Gantry-Tau Robot

This master thesis present a simulation environment developed in Matlab/Simulink, which can be used for control design and code generation for real-time control experiments for the Gantry-Tau parallel robot. The Gantry-Tau is a new parallel robot concept which offers great rigidity, high speeds and large workspace. The kinematics library presented in this thesis is developed for the 5 degrees of f

Truck Differential and Rear Axle Modeling

Physical modeling of the driveline is crucial in many areas within the commercial vehicle industries. To have an accurate model helps the understanding of physical phenomena and is important when performing computational tests and when designing, for example, traction controllers. The differential gear is often modeled as simple as possible, neglecting more complex behaviour. The main goal with th

Probing Control in B. licheniformis Fermentations

In industrial biotechnical processes in fed-batch mode it is desirable to keep a high feed rate in order to achieve a high production rate, while simultaneously avoiding overflow metabolism. This means that the optimum of the process is close to the point where it risks crashing due to the effects of overflow metabolites. Probing control of feed rate is a control strategy for microbial processes w

Real-Time Trajectory Generation and Control of a Semi-Omnidirectional Mobile Robot

When controlling a wheeled mobile robot with four independently steerable driving wheels, the control of the wheel coordination must be handled. Both the direction and velocity of the wheels must be coordinated to allow for proper operation of the robot. The focus of this work is on the coordination of the wheel directions. Such coordination is mostly done by solving constraint equations of the sy

Larmhantering i processindustrin

The objective of this thesis is to reduce the alarms in the control rooms of the processing industry and to investigate a strategy for working with the alarms. The problem with the alarms in the automation system is a result of the highly automated production and failure to design the alarms for the operator. The situation analysis showed problems with badly tuned alarms and cascade of alarms. The

Road Slope Estimation Using a Longitudinal Accelerometer and Kalman Filtering

Heavy-duty vehicles of today consist of much electronics and many sensors. One of these sensors is a longitudinal accelerometer. This Master's thesis investigates the possibilities to determine the road slope angle with a longitudinal accelerometer. With the knowledge of current road slope angle, many other control systems in the trucks can be improved. The optimization of these control system