Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 117 for “"Model Predictive Control (MPC)"”.
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INDOOR ENVIRONMENTAL QUALITY (IEQ) AND BUILDING ENERGY OPTIMIZATION THROUGH MODEL PREDICTIVE CONTROL (MPC)
… a novel and systematic approach to apply Model Predictive Control (MPC) to improve energy efficiency and indoor environmental quality in office buildings. Model predictive control is one of the advanced optimal control approaches that use models to predict the behavior of the process …
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Multi-objectives model predictive control of multivariable systems
… MOO [Multi-Objective Optimization] design for Model Predictive Control (MPC) and Proportional Integral (PI) control are investigated for a multivariable process.
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Model Predictive Control Approaches for Dynamic Table Tennis Swinging
This thesis presents three model predictive control (MPC) formulations for robotic table tennis swinging, addressing the challenge of generating precise, real-time paddle trajectories for dynamic ball interactions. We explore key differences in optimization structure, solver strategy, and real-time …
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Model predictive control of timed continuous petri nets
This thesis addresses the optimal control problem of timed continuous Petri nets. The theory of Model Predictive Control (MPC) is first discussed. Then continuous Petri nets (PN) are introduced as a powerful tool for modelling, simulation and analysis of discrete event/continuous systems. Their …
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Model-free tracking control of an optical fiber drawing process using deep reinforcement learning
… learning (DRL) approach for tracking control of an optical fiber drawing process is developed and evaluated. The DRL-based control is capable of regulating the fiber diameter to track either steady or varying reference trajectories in the presence of stochasticity and non-linear …
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Optimal reservoir operation using stochastic model predictive control
… random external forcings that complicate theie control. In order to achieve optimal performance, these systems need to continually adapt to external disturbances in real time. This capability is provided by feedback based control strategies that derive an optimal control from the current state …
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TIMING CONTROLLER FOR HUMAN-ROBOT OBJECT HANDOVER: IMPLEMENTATION AND EVALUATION
This work compares two controllers for human-robot object handovers. The proposed Timing controller allows users to specify timing parameters for the handover and computes velocity control using Model Predictive Control (MPC). This controller provides feedback if it cannot satisfy those …
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Design optimization of articulated vehicles with autonomous steering control
… AVs with autonomous steering. A linear yaw-plane model is generated to represent the AV, and a model predictive control (MPC) based tracking controller is designed for steering control. A stochastic modeling technique is developed using Monte-Carlo method to evaluate the performance limitations of …
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EvoGrip: design and model predictive control of a modular, cost-efficient robot hand for research applications
… hand developed as an open platform for advanced control experimentation. Leveraging open-source designs, EvoGrip enhances accessibility, adaptability, and dexterity. Its mechanical structure, derived from the Inmoov arm, was refined to incorporate position and force sensing with improved finger …
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Model Predictive Energy Management for Building Microgrids with IoT-based Controllable Loads
… flexible loads to synchronize the buildings’ controllable components, with occupant behavior and environmental conditions. We employ model predictive control (MPC) methods to minimize building operating costs, while maximizing the utilization of the on-site resources. The main research thrusts …
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Sensitivity and Bias Based Receding Horizon Multi Step Optimization (RHMSO) Controller for Real Time Voltage Control
… receding horizon multi-step optimization (RHMSO) controller which utilizes a linearized system model is developed. This linear system model is derived from the non-linear steady state power flow equations based on sensitivity analysis. A comparison is made with single step optimization based on …
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Model predictive control with application to real-time hardware and guided parafoil
Model Predictive Control (MPC) is a control strategy that is suitable for optimizing the performance of constrained systems. Constraints are present in all control systems due to the physical and environmental limits on plant operation. Through a systematical handling of constraints, MPC can …
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Towards Pseudospectral Control and Estimation
… optimization methods in the field of automatic control. Pseudospectral optimization methods solve dynamic optimization problems by discretizing the state-space, creating a discretized version of a continuous problem. The resulting discretized optimization problems are solved by standard software …
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Dynamic matrix control of milling circuits
… the suitability of DMC for milling circuit control. This was conducted through simulation studies using models of two different milling circuits. A generalised software package was developed for the application and analysis of DMC. DMC was developed in the United States of America by Shell …
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Battery Pack Design and Transient Performance Modeling for High-Power Legged Robots
… shifted toward advanced optimization-based control methods, such as Model Predictive Control (MPC), to generate agile and energy-efficient locomotion. By casting the control problem as an optimization task, robotic systems can account for complex robot dynamics and operational constraints, …
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Online Message Delay Prediction for Model Predictive Control over Controller Area Network
… communicating by way of shared buses such as Controller Area Network (CAN). Their control performance gets degraded due to variable delays (jitters) incurred by messages on the shared CAN bus due to contention and network overhead. This work presents a novel online delay prediction approach …
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The Modeling and Advanced Controller Design of Wind, PV and Battery Inverters
… in this Ph.D. dissertation.;A multi-objective controller including is proposed for PV inverter to perform voltage flicker suppression, harmonic reduction and unbalance compensation. A novel supervisory control scheme is designed to coordinate PV and battery inverters to provide high quality …
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COMMON MODE VOLTAGE ELIMINATION IN THREE-PHASE FOUR-LEG INVERTERS UTILIZING PULSE DENSITY MODULATION
… density modulation (PDM) in conjunction with model predictive control (MPC) and delta modulation. A physics-based model of the equipment under test (EUT), utilizing state-space modeling, was analyzed using computer simulations and a laboratory prototype, utilizing SiC switching devices, was …
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Application of model predictive control on wind farm incorporated with dual battery energy storage system
… in this thesis focuses on the application of Model Predictive Control (MPC) to Dual Battery Energy Storage System (dual BESS) so that the reference power from the actual wind farm power can be tracked with satisfactory performance. The control strategy considers certain practical constraints …
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Reconfigurable autopilot design for a high performance aircraft using model predictive control
… losses of military and civilian aircraft due to control surface failures have prompted research into controllers with a degree of reconfiguration. This thesis will describe a design approach incorporating Model Predictive Control (MPC) with a self updating model to achieve a level of …
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