Results 61 to 70 of about 201,279 (241)
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley +1 more source
Receding-horizon model predictive control for a three-phase VSI with an LCL filter [PDF]
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new ...
Camacho Santiago, Antonio +4 more
core +2 more sources
A Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller
Block Diagram of the Robust Adaptive One‐Sample‐Ahead Preview Super‐Twisting Sliding Mode Controller. ABSTRACT This article introduces a discrete‐time robust adaptive one‐sample‐ahead preview super‐twisting sliding mode controller. A stability analysis of the controller by Lyapunov criteria is developed to demonstrate its robustness in handling both ...
Guilherme Vieira Hollweg +5 more
wiley +1 more source
Analysis and robustness improvement of FCS-MPCC for IPMSM with model parameter mismatches are studied in this paper. The prediction error of the current in synchronous rotation coordinate is analyzed and it is divided into two categories according to ...
Chao Li +6 more
doaj +1 more source
Finite Control Set Model Predictive Control of Six-Phase Induction Motor
Abstract Model predictive control (MPC) is a closed-loop technique to generate inputs to activate the process so that the outputs of the interest track a certain set point or reference signal. MPC performs this in a closed loop by updating the decision on the value of the input variables based on measurements from the system.
Ozan Gulbudak +2 more
openaire +1 more source
Convex Chance Constrained Model Predictive Control
We consider the Chance Constrained Model Predictive Control problem for polynomial systems subject to disturbances. In this problem, we aim at finding optimal control input for given disturbed dynamical system to minimize a given cost function subject to
Jasour, Ashkan, Lagoa, Constantino
core +1 more source
Matrix converter open circuit fault behavior analysis and diagnosis with a model predictive control strategy [PDF]
A novel fast and reliable open circuit fault diagnosis strategy for a Matrix Converter with a Finite Control Set Model Predictive Control strategy is proposed in this paper.
Dan, Hanbing +4 more
core +2 more sources
Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian +4 more
wiley +1 more source
Position Controller for PMSM Based on Finite Control Set Model Predictive Control
The paper presents the position control of a permanent magnet synchronous motor by using the finite control set model predictive control. The position, speed and acceleration references are generated by a ramp generator. A new cost function, including feed-forward and load torque compensations, is introduced. In order to save the computational power, a
Viktor Slapak +2 more
openaire +1 more source
Predictive control of an axial flux permanent magnet synchronous machine [PDF]
This paper examines the (dis)advantages of predictive control for the torque regulation of an axial flux permanent magnet synchronous machine fed by a two-level voltage source inverter.
De Belie, Frederik +4 more
core +1 more source

