Odel Predictive Control Mpc News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Stay updated with breaking news from Odel predictive control mpc. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.

Top News In Odel Predictive Control Mpc Today - Breaking & Trending Today

"Layer-by-layer model-based adaptive control for wire arc additive manu" by Haochen Mu, Joseph Polden et al.

Improving the geometric accuracy of the deposited component is essential for the wider adoption of wire arc additive manufacturing (WAAM) in industries. This paper introduces an online layer-by-layer controller that operates robustly under various welding conditions to improve the deposition accuracy of the WAAM process. Two control strategies are proposed and evaluated in this work: A PID algorithm and a multi-input multi-output model-predictive control (MPC) algorithm. After each layer of deposition, the deposited geometry is measured using a laser scanner. These measurements are compared against the CAD model, and geometric errors are then compensated by the controller, which generates a new set of welding parameters for the next layer. The MPC algorithm, combined with a linear autoregressive (ARX) modelling process, updates welding parameters between successive layers by minimizing a cost function based on sequences of input variables and predicted responses. Weighting coefficients ....

Autoregressive Model Arx , Ead Geometry Control , Old Metal Transfer Cmt Welding , Odel Predictive Control Mpc , Ire Arc Additive Manufacturing Waam ,

"Stochastic Programming Based Objective Function Optimization for Predi" by Lei Tang, Wei Xu et al.

Model predictive thrust control (MPTC) is one of the most effective approaches for linear induction motor (LIM) drive system. It can achieve the optimization of multiple objectives. However, the process of tuning the weighting factors in the objective function is the main drawback of MPTC. It greatly increases the computation burden. In this paper, the tuning process of weighting factors is regarded as a random sampling process. Then, a novel weighting factor optimization method based on the stochastic programming technique is proposed to select the suitable control action for LIM. It will optimize with flux and thrust together to avoid the adjustment of weighting factor. In this paper, the optimal model can be solved by Monte Carlo simulation. At last, the simulation results have shown better dynamic and steady state performance of the proposed method. ....

Monte Carlo , Fuzzy Optimization , Inear Induction Machine Lim , Odel Predictive Control Mpc , Stochastic Programming , Weighting Factors ,

"Recent Achievements in Model Predictive Control Techniques for Industr" by Mahmoud F. Elmorshedy, Wei Xu et al.

Abstract
Model predictive control (MPC), manly based on a direct use of an explicit and identifiable model, has been widely used in controller design in different applications both by academia and industry. The reason for such popularity is due to its strong ability for providing high performance electric drive systems, as highly recognized as the most reliable control approach compared with field-oriented control (FOC) and direct torque control (DTC). In general, the MPC has numerous features and advantages, such as direct switching states to the converter without any modulation, online optimization with multivariable control, low current total harmonic distortion, low switching loss, etc. The aim of this paper is to provide a comprehensive review for major development and achievements of the recent progress on the MPC for electrical machines and drives. This review begins with the innovative topologies and operating principles of fundamental MPC, and ends to summary on diffe ....

Direct Torque Control Dtc , Fficient Mpc , Ield Oriented Control Foc , Inite Set Mpc Fs , Aximum Torque Per Ampere Mtpa , Odel Predictive Control Mpc , Eighting Less Fs Mpc ,

"Distributed Intersection Conflict Resolution for Multiple Vehicles Con" by Kaizheng Wang, Yafei Wang et al.

Abstract
Multiple vehicles control at an intersection is one of the most challenging scenarios in the vehicle control field due to the high number of constraints. However, regarding the control strategies of an isolated intersection, few studies have considered the longitudinal-lateral dynamics comprehensively. In the approaches that treat the turning curve as a straight line, a longitudinal dynamic model is adopted, while the lateral execution ability is ignored. The ideal decisions that ignore vehicle dynamics are not accurately executed by actual vehicles, as doing so would to be futile. In addition, due to the strong coupling and nonlinearity of the longitudinal-lateral dynamics model, the optimization problem is difficult to solve. Therefore, in this paper, a reasonable model, the simplified vehicle dynamics model coupled with longitudinal-lateral dynamics is used to describe longitudinal, lateral, and yaw motions comprehensively. Optimization of the longitudinal and late ....

Autonomous Traffic Intersection , Connected Vehicles , Distributed Control System , Mathematical Model , Odel Predictive Control Mpc , Predictive Models , Vehicle Dynamics ,