In this paper, the speed regulation problem for permanent synchronous motor (PMSM) system under vector control framework is studied. A model reference adaptive controller (MRAC) based on Lyapunov stability theory is first designed. Noticing the standard MRAC method provides a poor disturbance rejection performance in the case of strong disturbances, a composite control method which combines MRA...

Abstract We add the σ -modification and low-frequency learning to model reference adaptive controller (MRAC) (Guduri et al. in SN Appl Sci 3:1–21, 2021) make it robust presence of two simultaneous bounded disturbances maintain consistent mean particles’ temperature velocity collectively called states (MPSs) when they impact substrate be coated. The MPSs affect coating quality. Even though resul...

his paper is devoted to the design and analysis of a state-predictor based direct adaptive controller for MultiInput-Multi-Output (MIMO) dynamical systems, with matched uncertainties. Our main intent is to evaluate possibility of improving MRAC transient characteristics during a tracking task. Towards that end, we propose the use of a state-predictor in formulating adaptive laws. Specifically, ...

Turku PET Centre, Turku University Hospital, Turku, Finland The aim of the study was to evaluate the effect of misalignment and head motion on image quantification in PET/MR with a novel brain phantom and a healthy control group. The phantom was imaged at two time points in PET/MR, concurrently with PET and PET/CT. Phantom images were evaluated visually and the relative difference in hemispheri...

In this paper a new approach to a neural network-based model reference adaptive intelligent controller is proposed. In this scheme, the intelligent supervisory loop is incorporated into the conventional model reference adaptive controller framework by utilizing an online growing multilayer back propagation neural network structure in parallel with it. The idea is to control the plant by convent...

This paper develops a new model reference adaptive control (MRAC) framework using partial-state feedback for solving multivariable output tracking problem. The developed MRAC scheme has full capability to deal with plant uncertainties and desired flexibility combine the advantages of full-state MRAC. With such scheme, plant-model matching condition is achievable as an or state design. A stable ...

This study presents a control design of an angular position for the exoskeleton knee assistance system based on model reference adaptive (MRAC) strategy. Three schemes MRAC have been proposed: classical MRAC, with disturbance observer, and nonlinear observer. The stability analysis each scheme has conducted developed Lyapunov theorem to prove uniform ultimate bound tracking estimation errors. I...

Exact decentralized output-feedback Lyapunov-based designs of direct MRAC for linear interconnected systems with MIMO subsystems are introduced. The design process uses a coordinated decentralized structure of adaptive control with reference model coordination. We develop decentralized MRAC on the base of a priory information about only the local subsystems gain frequency matrices without addit...

Precise velocity control of permanent magnet synchronous motors (PMSMs) is challenging due to the uncertainties induced by the mathematical model, unmodeled dynamics, and various disturbances; consequently, the traditional model reference adaptive control (MRAC) for PMSMs becomes questionable. In order to improve the traditional MRAC and lessen the influence of various sources of uncertainty, t...

Adaptive Control strategies helps to get desirable output for system with partial unknown dynamics or systems having unknown and unmodeled load variation. DC servo motors are useful to track rapid speed trajectory for various applications, particularly with need of high starting torque and low inertia. Model Reference Adaptive Control (MRAC) parameter data of results with Lyapunov stability MRA...