Publications related to Stability analysis of the vertical position control loop in TCV using rigid and deformable plasma models

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

A novel approach for linear parameter-varying (LPV) controller synthesis for adaptive rejection of time-varying sinusoidal disturbances is proposed. Only the frequency response data of a linear time-invariant (LTI) multiple-input multiple-output (MIMO) sys ...

2024

Real-Time Localization for Closed-Loop Control of Assistive Furniture

Auke Ijspeert, Alexandre Massoud Alahi, Lixuan Tang, Anastasia Bolotnikova, Chuanfang Ning, George Adaimi

For people with limited mobility, navigating in cluttered indoor environment is challenging. In this work, we propose a mobile assistive furniture suite that is designed to ease the life of people with special needs in indoor movement. To enable intelligen ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Real-time feedback control system for ADITYA-U horizontal plasma position stabilisation

Harshita Raj, Rohit Kumar, Shivam Gupta

The ADITYA-U tokamak (R-0 = 0.75 m, a = 0.25 m) is designed to shape plasma column in both single and double null diverter configurations. It is quite well known that sustaining a shaped plasma in tokamak requires very good plasma column position control, ...

2021

Stabilization and Accuracy Improvement of Power-Hardware-in-the-Loop Test Using a Robust Data-Driven Method

Alireza Karimi, Seyed Sohail Madani

Power-Hardware-In-the-Loop (PHIL) setups have gained high importance in validation of the performance of newly developed algorithms and devices with low risk and implementation cost. However, the interconnection of a power hardware with a simulated model v ...

2021

Model-based optimization of magnetic control in the TCV tokamak: design and experiments

Federico Pesamosca

Thermonuclear controlled fusion is a promising answer to the current energy and climate issues, providing a safe carbon-free source of energy which is virtually inexhaustible. In magnetic confinement thermonuclear fusion based on tokamak reactors, hydrogen ...

EPFL2021

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Maryam Kamgarpour, Luca Furieri, Na Li

It is known that the set of internally stabilizing controller

\mathcal{C}_{\text{stab}}

is non-convex, but it admits convex characterizations using certain closed-loop maps: a classical result is the {Youla parameterization}, and two recent notions are t ...

2020

Stabilization and Performance Improvement of Power-Hardware-in-the-Loop Test Using a Robust Data-Driven Method

Alireza Karimi, Seyed Sohail Madani

Power-Hardware-in-the-Loop (PHIL) setups have gained high importance in validation of the performance of newly developed instruments and devices with low risk and implementation cost. However, the interconnection of a power hardware with a simulated model ...

2020

A data-driven approach to model-reference control with applications to particle accelerator power converters

Alireza Karimi, Achille Nicoletti, Michele Martino

A new model-reference data-driven approach is presented which uses the frequency response data of a system in order to avoid the problem of unmodeled dynamics associated with low-order parametric models. It is shown that a convex optimization problem can b ...

PERGAMON-ELSEVIER SCIENCE LTD2019

A Data-Driven Frequency-Domain Approach for Robust Controller Design via Convex Optimization

Achille Nicoletti

The objective of this dissertation is to develop data-driven frequency-domain methods for designing robust controllers through the use of convex optimization algorithms. Many of today's industrial processes are becoming more complex, and modeling accurate ...

EPFL2018

Fixed-order loop shaping robust controller design for parametric models to damp inter-area oscillations

Alireza Karimi

The inter-area oscillations are common in power systems and can occur due to the changes in the load or generating power especially in long transmission lines. This paper presents the design of a robust fixed order loop shaping controller to damp out the i ...

Elsevier Sci Ltd2017

Stability analysis of the vertical position control loop in TCV using rigid and deformable plasma models

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Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

Real-Time Localization for Closed-Loop Control of Assistive Furniture

Real-time feedback control system for ADITYA-U horizontal plasma position stabilisation

Stabilization and Accuracy Improvement of Power-Hardware-in-the-Loop Test Using a Robust Data-Driven Method

Model-based optimization of magnetic control in the TCV tokamak: design and experiments

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Stabilization and Performance Improvement of Power-Hardware-in-the-Loop Test Using a Robust Data-Driven Method

A data-driven approach to model-reference control with applications to particle accelerator power converters

A Data-Driven Frequency-Domain Approach for Robust Controller Design via Convex Optimization

Fixed-order loop shaping robust controller design for parametric models to damp inter-area oscillations

Real-Time Localization for Closed-Loop Control of Assistive Furniture

Real-time feedback control system for ADITYA-U horizontal plasma position stabilisation

Data-driven LPV Control for Micro-disturbance Rejection in a Hybrid Isolation Platform

Fixed-order loop shaping robust controller design for parametric models to damp inter-area oscillations

Stabilization and Performance Improvement of Power-Hardware-in-the-Loop Test Using a Robust Data-Driven Method

A data-driven approach to model-reference control with applications to particle accelerator power converters

A Data-Driven Frequency-Domain Approach for Robust Controller Design via Convex Optimization

Stabilization and Accuracy Improvement of Power-Hardware-in-the-Loop Test Using a Robust Data-Driven Method

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Model-based optimization of magnetic control in the TCV tokamak: design and experiments