Sökning: "Model Predictive Control"

Visar resultat 1 - 5 av 288 uppsatser innehållade orden Model Predictive Control.

  1. 1. Physics-Enhanced Machine Learning for Energy Systems

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Henrik Lindström; Emil Sundström; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Building operations account for a large amount of energy usage and the HVAC (Heating, Ventilation and Air Conditioning) systems are the largest consumer of energy in this sector. To reduce this demand, more energy-efficient control algorithms are implemented and a popular choice for a controller is the model predictive control. LÄS MER

  2. 2. Supervised Machine Learning Modeling in Secondary Metallurgy : Predicting the Liquid Steel Temperature After the Vacuum Treatment Step of the Vacuum Tank Degasser

    Master-uppsats, KTH/Materialvetenskap

    Författare :Roberto Vita; [2022]
    Nyckelord :Industy 4.0; Machine Learning; Statistical Modeling; Temperature Prediction; Vacuum Tank Degasser; Vacuum Treatment Step.; Industri 4.0; Maskininlärning; Statistisk modellering; Temperaturförutsägelse; Vakuumbehandlingssteg; Vakuumtankavgasare;

    Sammanfattning : In recent years the steelmaking industry has been subjected to continuous attempts to improve its production route. The main goals has been to increase the competitiveness and to reduce the environmental impact. The development of predictive models has therefore been of crucial importance in order to achieve such optimization. LÄS MER

  3. 3. Real-time Model Predictive Control with Complexity Guarantees Applied on a Truck and Trailer System

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Edvin Bourelius; [2022]
    Nyckelord :Real-time; Model Predictive Control; Quadratic Programing; Active-set method; Complexity Certification; Truck; Trailer;

    Sammanfattning : In model predictive control an optimization problem is solved in every time step, which in real-time applications has to be solved within a limited time frame. When applied on embedded hardware in fast changing systems it is important to use efficient solvers and crucial to guarantee that the optimization problem can be solved within the time frame. LÄS MER

  4. 4. Toward Adaptation of Data Enabled Predictive Control for Nonlinear Systems

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Hashem Ghasemi; [2022]
    Nyckelord :DeePC; Data Driven Control; Nonlinear System; Non-holonomic Ground Robot; Double Integrator Model; Inverted Pendulum.; DeePC; Datadriven Kontroll; Icke-linjärt System; Icke-holonomisk Markrobot; Dubbelintegratormodell; Inverterad Pendel;

    Sammanfattning : With the development of technology and availability of data, it is sometimes easier to learn the control policies directly from the data, rather than modeling a plant and designing a controller. Modeling a plant is not always possible due to the complexity of the plant. LÄS MER

  5. 5. Banfoljning och Styrning av en Autonom Hjullastare medelst Modell-prediktiv Reglering

    Master-uppsats, KTH/Maskinkonstruktion (Inst.)

    Författare :Lucas Jacobsson Falcon; [2022]
    Nyckelord :;

    Sammanfattning : Framsteg inom teknik gör maskinintelligens möjlig med fördelar i kostnad, säkerhet och hållbarhet. Volvo CE har introducerat ett autonomt hjullastarkocept, då de rör sig mot automation och maskinintelligens inom byggbranchen. LÄS MER