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RISNested Plant/Controller Codesign Using G-Optimal Design and Continuous Time Adaptation Laws: Theoretical Framework and Application to an Airborne Wind Energy System
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a nested codesign (combined plant and controller design) formulation that uses optimal design of experiments (DoE) techniques at the upper level to globally explore the plant design space, with ...
Combined Plant and Controller Design Using Batch Bayesian Optimization: A Case Study in Airborne Wind Energy Systems
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a novel data-driven nested optimization framework that addresses the problem of coupling between plant and controller optimization. This optimization strategy is tailored toward instances where a ...
Gaussian Process-Driven, Nested Experimental Co-Design: Theoretical Framework and Application to an Airborne Wind Energy System
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents and experimentally evaluates a nested combined plant and controller optimization (co-design) strategy that is applicable to complex systems that require extensive simulations or experiments to evaluate ...
Drag-Mitigating Dynamic Flight Path Design and Sensitivity Analysis for an Ultra-Long Tether Underwater Kite
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a computational study of an underwater kite operating in environments requiring tethers exceeding a kilometer in length, referred to herein as ultralong tether (ULT) applications. Leveraging a detailed ...
Designing Renewables for an Uncertain World: Adaptive Co-Design Formulation and Marine Energy Case Study
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Renewable energy systems are subject to uncertainty arising both from modeling simplifications/imperfections and a stochastic environment. To maximize energy production under this uncertainty, real-time plant and ...
Co-Design for Real-Time Adaptability: Methodology, Implementation, and Real-Time Performance on a Morphing Wind Turbine
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Large-scale wind energy-harvesting systems operate in highly variable environments and face long design and manufacturing cycles that often require design freezes before high-certainty modeling is possible. Both ...
Lab-Scale, Closed-Loop Experimental Characterization, Model Refinement, and Validation of a Hydrokinetic Energy-Harvesting Ocean Kite
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a study wherein we experimentally characterize the dynamics and control system of a lab-scale ocean kite, and then refine, validate, and extrapolate this model for use in a full-scale system. Ocean kite ...
A Multirate, Multiscale Economic Model Predictive Control Approach for Velocity Trajectory Optimization of a Heavy Duty Truck
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper introduces a hierarchical economic model predictive control (MPC) approach for maximizing the fuel economy of a heavy-duty truck, which simultaneously accounts for aggregate terrain changes that occur over very ...
Design and Performance Analysis of a Cascaded Model Predictive Controller and Command Governor for Fuel-Efficient Control of Heavy-Duty Trucks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents the design and analysis of a predictive ecological control strategy for a heavy-duty truck that achieves substantial fuel savings while maintaining safe following distances in the presence of traffic. ...
Generalized Empirical Regret Bounds for Control of Renewable Energy Systems in Spatiotemporally Varying Environments
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper focuses on the empirical derivation of regret bounds for mobile systems that can optimize their locations in real-time within a spatiotemporally varying renewable energy resource. The case studies in this paper ...