P38 Montage optimization in tCS: Influence of optimization constraints

2020 ◽  
Vol 131 (4) ◽  
pp. e32-e33
Author(s):  
R. Salvador ◽  
O. Puonti ◽  
M.C. Biagi ◽  
M. Splittgerber ◽  
V. Moliadze ◽  
...  
Keyword(s):  
Optimization Constraints

scholarly journals Optimization and Characteristics Analysis of High Torque Density 12/8 Switched Reluctance Motor Using Metaheuristic Gray Wolf Optimization Algorithm

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 2013
Author(s):  
Md Sydur Rahman ◽  
Grace Firsta Lukman ◽  
Pham Trung Hieu ◽  
Kwang-II Jeong ◽  
Jin-Woo Ahn
Keyword(s):  
Switched Reluctance Motor ◽  
Optimization Process ◽  
Grey Wolf Optimizer ◽  
Gray Wolf ◽  
Switched Reluctance ◽  
Torque Density ◽  
Optimization Constraints ◽  
Reluctance Motor ◽  
Characteristics Analysis ◽  
And Performance

In this paper, the optimization and characteristics analysis of a three-phase 12/8 switched reluctance motor (SRM) based on a Grey Wolf Optimizer (GWO) for electric vehicles (EVs) application is presented. This research aims to enhance the output torque density of the proposed SRM. Finite element method (FEM) was used to analyze the characteristics and optimization process of the proposed motor. The proposed metaheuristic GWO combines numerous objective functions and design constraints with different weight factors. Maximum flux density, current density, and motor volume are selected as the optimization constraints, which play a significant role in the optimization process. GWO performs optimization for each iteration and sends it to FEM software to analyze the performance before starting another iteration until the optimized value is found. Simulations are employed to understand the characteristics of the proposed motor. Finally, the optimized prototype motor is manufactured and performance is verified by experiment. It is shown that the torque can be increased by 120% for the same outer volume, by using the proposed method.

Graphical MPC for Fast Dynamic Systems

2008 ◽  
Author(s):  
Ricardo Dunia ◽  
Javier Gutierrez
Keyword(s):  
Predictive Control ◽  
Dynamic Systems ◽  
Process Modeling ◽  
Graphical Programming ◽  
Optimization Constraints ◽  
Programming Framework ◽  
Software Configuration ◽  
Engineering Costs ◽  
The Cost ◽  
Fast Dynamic

Software configuration and engineering costs have limited the application of model predictive control (MPC) for small but fast dynamic systems. This work illustrates the benefits of using a graphical programming framework for the configuration and implementation of MPC controllers. Graphical programming facilitates the understanding and configuration of advanced applications so that engineers in industry can be responsible for the installation and maintenance of advanced controllers. Costs reduction and minimal specialized labor opens the possibilities of applying MPC to small systems with fast dynamics. Fast MPC execution is achieved by including the optimization constraints as penalty terms in the cost function. An air-heater pilot system is successfully used to demonstrate the advantages of a graphical framework for process modeling, design, and real-time implementation of MPC controllers in systems with fast dynamics.

Synergy between topology optimization and additive manufacturing in the automotive field

2020 ◽  
pp. 095440542094920 ◽  
Author(s):  
S Mantovani ◽  
SG Barbieri ◽  
M Giacopini ◽  
A Croce ◽  
A Sola ◽  
...  
Keyword(s):  
Topology Optimization ◽  
Additive Manufacturing ◽  
Holistic Approach ◽  
Numerical Control ◽  
Structural Constraints ◽  
Element Analysis ◽  
Design Guideline ◽  
Numerical Control Machining ◽  
Optimization Constraints ◽  
Reference Component

This article purposes on developing and on re-interpreting the numerical results of a topology optimization for a structural component built via additive manufacturing. A critical appraisal of the optimization results is presented by modeling the feasible component with a holistic approach that merges structural and manufacturing requirements. The procedure is expected to provide a design guideline for similar applications of practical relevance, toward an increase of the right-first-time parts that is required to bring additive manufacturing to its full competitiveness. Topology optimization of a steering upright for a Formula SAE racing car was performed by targeting weight minimization while complying with severe structural constraints, like global and local stiffness performance. Cornering, bumping and braking vehicle conditions were considered. The optimization constraints were evaluated via finite element analysis on a reference component, where the loading conditions were retrieved from telemetry data. The reference part was manufactured by computer numerical control machining from a solid aluminum block. Spurred by the interpretation of the topology optimization predictions, a new upright geometry was designed and validated by calculating its stress field and the possible occurrence of Euler buckling. The new upright was 9% lighter than the reference component. The new geometry was analyzed according to Design for Additive Manufacturing principles to choose the orientation on the build platform and the supports’ location and geometry. The part was successfully manufactured and proved consistent with the application.

scholarly journals A model predictive controller for robots to follow a virtual leader

Robotica ◽  
2009 ◽  
Vol 27 (6) ◽  
pp. 905-913 ◽  
Author(s):  
Dongbing Gu ◽  
Huosheng Hu
Keyword(s):  
Control Process ◽  
Terminal State ◽  
Optimization Constraints ◽  
Control Scheme ◽  
State Controller ◽  
Leader Following ◽  
State Region ◽  
The Stability ◽  
Virtual Leader ◽  
The Cost

SUMMARYIn this paper, we develop a model predictive control (MPC) scheme for robots to follow a virtual leader. The stability of this control scheme is guaranteed by adding a terminal state penalty to the cost function and a terminal state region to the optimization constraints. The terminal state region is found by analyzing the stability. Also a terminal state controller is defined for this control scheme. The terminal state controller is a virtual controller and is never used in the control process. Two virtual leader-following formation models are studied. Simulations on different formation patterns are provided to verify the proposed control strategy.

scholarly journals WEIGHT MINIMIZATION OF TRUSS STRUCTURES WITH SIZING AND LAYOUT VARIABLES USING INTEGRATED PARTICLE SWARM OPTIMIZER

2017 ◽  
Vol 23 (8) ◽  
pp. 985-1001 ◽  
Author(s):  
Ali MORTAZAVI ◽  
Vedat TOĞAN ◽  
Ayhan NUHOĞLU
Keyword(s):  
Optimization Problems ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Truss Structures ◽  
Continuous Variables ◽  
Particle Swarm Optimizer ◽  
Search Spaces ◽  
Optimization Constraints ◽  
Weight Minimization ◽  
Ipso Algorithm

This study investigates the performances of the integrated particle swarm optimizer (iPSO) algorithm in the layout and sizing optimization of truss structures. The iPSO enhances the standard PSO algorithm employing both the concept of weighted particle and the improved fly-back method to handle optimization constraints. The performance of the recent algorithm is tested on a series of well-known truss structures weight minimization problems including mixed design search spaces (i.e. with both discrete and continuous variables) over various types of constraints (i.e. nodal dis­placements, element stresses and buckling criterion). The results demonstrate the validity of the proposed approach in dealing with combined layout and size optimization problems.

Parallelepiped Sandwich Shell - Searching for the Optimal Geometric Parameters

2014 ◽  
Vol 611 ◽  
pp. 170-174 ◽  
Author(s):  
Edward Tertel ◽  
Piotr Kuryło ◽  
Władysław Papacz
Keyword(s):  
Internal Pressure ◽  
Objective Function ◽  
Shell Structure ◽  
Geometric Parameters ◽  
Geometrical Parameters ◽  
Sandwich Shell ◽  
Optimization Constraints ◽  
Geometric Conditions

The paper presents investigations of the optimal geometric parameters for the sandwich rectangular pipe. The analyzed parallelepiped shell is loaded with uniform internal pressure. The objective function is the ratio of the shell structure mass to mass of the medium contained in the shell. The minimum of the objective function is searched. The optimization constraints are a geometric conditions relating to the dimensions of the shell, and strength requirements. The solution was obtained and the optimum geometrical parameters are presented.

scholarly journals Shape and operation optimization of a thick-walled power boiler component

2018 ◽  
Vol 240 ◽  
pp. 05006
Author(s):  
Piotr Duda ◽  
Mirosław W. Mrzygłód
Keyword(s):  
Stress Constraints ◽  
Practical Significance ◽  
Operation Optimization ◽  
Optimization Constraints ◽  
New Methods ◽  
Heating And Cooling ◽  
Unit Energy ◽  
Start Up ◽  
Load Regime ◽  
Power Boiler

The aim of this article is the proposition of a two-stage optimization of power boiler components subjected to transient thermo-mechanical loads. As the basis of transient load regime, the TRD 301 regulations are used. In the first stage of an investigation, the genetic algorithms are used to determine the optimal shape of the structure. As optimization constraints, the maximum total stresses in the whole cycle are assumed. In the next stage, the method for the start-up and shut-down operation optimization is shown. The problem is defined to minimize the time of start-up and shut-down processes with allowable stress constraints according to TRD regulations. These new methods are of high practical significance and can be implemented throughout the industry, wherever heating and cooling processes take place. The obtained optimization results translate directly into the power unit energy effectiveness because the shut-down and start-up losses are reduced.

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