MATLAB Optimization Toolbox Research Articles

Transmission Parameters Optimization Design and Load Factor Formula Fitting of WN Gears Drive

The research is to solve nonlinear constrained optimization problems by the method of sequence quadratic programming (SQP) in MATLAB optimization toolbox and mathematical programming theory. This paper taking the high strength of WN gears drive as design target and the WN gears drive optimization design model of actual project is put forward by the concrete examples which are widely used in modern machine of the high speed and heavy load WN gears drive. Using the optimization design model to analyze the relationship about gear drive parameters on contact and bending fatigue strength. This research adopts the formula fitting design method not only improved design efficiency but also provided application foundation for CAD design of WN gears driving.

Dynamic Modeling for a Miniature Six-Rotor Unmanned Aerial Vehicle

A nonlinear dynamic model of a miniature Six-Rotor is presented. A 4 channels PID controller is designed to operate the under actuated and dynamically unstable system with 6 inputs. Driving forces of 6 rotors are divided into four components such as throttle, roll, pitch and yaw. The control algorithm is simulated with Design Optimization Toolbox in Matlab. After observing the corresponding responses of Euler angles, the altitude and the driving force for each motor, the simulation results show good performance.

Sequential Engagement and Disengagement Drive Mechanism Instruction Device Design of Offset Press

According to the process characteristics of sequential engagement and disengagement mechanism of offset press, a teaching device of sequential engagement and disengagement mechanism with double cylinders double stroke drive mechanisms was designed. By means of simplifying the mechanism and using complex polar coordinates vector method, the mathematical modeling of the mechanism was built. The related parameter curve of the mechanism was drawn with MATLAB software. And through MATLAB optimization toolbox, the optimized design of the mechanism was carried on, the sequential engagement and disengagement drive mechanism teaching device design of offset press was improved.

HYBRID METAHEURISTICS FOR THE DESIGN OF COUPLED RESONATOR FILTERS

The design of coupled resonator filters used in many telecommunication applications poses an optimization problem that can be tackled with heuristic methods. In many configurations, simple heuristic methods do not give satisfactory results, and the combination in hybrid metaheuristics of local and global search methods is a better approach. This article analyzes the systematic development of hybrid metaheuristic methods for the design of coupled resonator filters. Engineers normally use the MATLAB computing environment to work on the design of these devices, so the available MATLAB optimization toolboxes are used here as a basis to address those optimization problems. The results obtained are in general satisfactory, and the best results are obtained in the experiments with memetic algorithms in which methods based in populations (Genetic Algorithms and Scatter Search) are combined with local search methods to improve individuals in the population at different parts of the metaheuristic.

Stability Optimization of Thin–Walled Functionally Graded Beams

This paper presents an optimization model for improving stability levels of thin– walled composite beams under axial compressive loading. Optimum designs are obtained by maximizing the critical buckling load while maintaining the total structural mass at a prescribed value equals to that of a baseline design. The dual problem of minimizing the totaL structural mass under preserved buckling load is also addressed. The developed optimization models deal with slender beam–columns that are axially graded in both material and wall thickness. The main structure is constructed from uniform segments that are fabricated from a composite with different volume fractions of the constituent materials, making the physical and mechanical properties change piecewisly in the axial direction. Design variables include the volume fraction of the constituent materials, the wall thickness as well as the length of each segment composing the beam. The buckling load analysis is performed via finite element method, using a beam element with two degrees of freedom at each node. The resulting optimization problem has been formulated as a nonlinear mathematical programming problem solved by invoking the Matlab optimization toolbox routines, which implement the method of sequential quadratic programming interacting with the associated eigenvalue problem routine. The proposed mathematical models have shown that the use of material grading concept can be promising in raising stability boundaries without mass penalty and producing economical designs having enhanced stability as compared with their corresponding baseline designs. Finally, the given approach can be beneficial to guide structural engineers for choosing the significant design variables in proper and efficient way without violating economic feasibility requirements.

Optimization of Loss Models for Centrifugal Compressor Performance Prediction Based on Numerical Analysis Results

An optimization of loss models for performance prediction of centrifugal compressors has been conducted in this paper. A centrifugal compressor with vaneless diffuser (VLD) and vaned diffuser (VD) is selected for the present study. The study begins with a numerical analysis, using commercial software ANSYS CFX. The numerical result is used to modify mean streamline analysis loss models. Matlab optimization toolbox is used for this purpose. Also, a matlab program is compiled to calculate the off-design performance of the centrifugal compressor. The results show that after optimizating the loss models, mean streamline analysis has a better accuracy than before.

Optimized design of electric field grading systems in 115 kV non-ceramic insulators

In this work two stress grading options for 115 kV non-ceramic suspension insulators are analyzed by means of 2D and 3D simulations. Both options were optimized in order to compare the maximum reduction that can be obtained on the electric field at the surface of the insulator. In the first option the shape and permittivity value of the housing material next to the energized end were the optimized parameters. For the second option, the installation of a corona ring, the position and dimensions of the ring were optimized. Electric field simulations were performed with the finite element method (FEM) while for the optimization process different functions of the MATLAB optimization toolbox were used. The optimization was performed with 2D FEM simulations and the optimal designs were then used on 3D models, in order to verify that these designs remain as the best option. According to the results, it was found that the use of a corona ring in 115 kV lines produces the maximum reduction of electric field as long as it is installed in the optimal position. A modification of the housing profile next to the energized end will also produce a significant reduction on the maximum electric field on 115 kV non-ceramic insulators.

Optimal Selection of Addendum Modification Coefficients of Involute Cylindrical Gears

Based on the principles of equalized sliding coefficients and equalized t oo th bending strength, the optimization mathematical model for calculating and allocating the addendum modification coefficients of involute cylindrical gear is firstly established. Then the measures to calculate the tooth parameters in real-time during the optimization steps are achieved. Finally, the optimization program for calculating and allocating the modification coefficients is developed using the Optimization Toolbox in MATLAB combined with VC++. Compared with the traditional methods such as enclosed chart and graph method, the proposed optimization method in this paper can update the constraints during the optimization process and obtain the accurate modification coefficients. The examples show that the proposed optimization method is more rational and accurate .

Optimal Production Path of Gas Production with a Dynamic Optimization Model, Case Study: Offshore South Pars Field

In this paper, the main purpose is extracting the optimal path of gas production for period of 2011 to 2021, for south Pars field. I use from Matlab Optimization toolbox for this aim. Results of this paper reveal upward sloping of gas extraction of south Pars field. In this paper, I evaluate value of source evacuation.

The Study on Optimal Matching of Light Truck Power Train

The multi condition driving cycle mode of light truck is established. A comprehensive evaluation system for the vehicle powertrain(VP) optimal matching with integration of dynamic performance, fuel economy and exhaust emission behavior by means of the weighting factors is established. The methods to determine the parameters and weighting factors are established. A simulation model is set for the VP using the software Advisor, and a VP optimization program is compiled by the Matlab optimization toolbox. The model is validated by experiment and used to optimize the power train of a certain type of light truck. The results show that the consideration of the dynamic performance, the fuel economy in the VP matching reduces the exhaust emissions effectively.

Failure Analysis and Transmission Parameters Optimization Design of WN Gears Drive

This paper taking the high strength of WN gears drive as target, which makes the WN gear device has light weight and compact size. The WN gears drive optimization design model of actual project is put forward by multiple-factor comprehensive failure analysis. The research is to solve nonlinear constrained optimization problems by the method of sequence quadratic programming (SQP) in MATLAB optimization toolbox. Using the optimization program of engineering design examples to analyze the relationship about gear drive parameters on contact and bending fatigue strength, thus the engineering design method of the WN gears drive is improved. This research not only achieved the optimization design of WN gears drive, but also revealed that the interactions between transmission parameters and strength design of the gear, which improved design efficiency and provided application foundation for CAD design of WN gears driving.

Multi-parameter optimization of lightweight composite triangular truss structure based on response surface methodology

A multi-parameter optimization approach for a lightweight FRP composite triangular truss under nonlinear structural response constraints is presented in this paper. The composite truss exhibited bilinear behavior under three-point bending which was observed by both experimental and numerical investigation. Sensitivity analysis was conducted to evaluate the effects of geometric parameters on the flexural performance of the composite truss. A response surface, developed from a finite element analysis, was employed to replicate the outputs of nonlinear structural responses with respect to four key geometric parameters. Gradient-based and Genetic Algorithm optimization processes were selected and implemented from the MATLAB Optimization Toolbox. Final adjustments to the optimal design, obtained using MATLAB, were made according to the results of sensitivity analysis. The results show that significant improvement in terms of weight saving were achieved by adopting the proposed optimization design procedure.

Optimization of the FSAE Car Steering Trapezoid

Steering system is important to the FSAE vehicle performance. And it’s necessary to optimize the steering trapezoid as well. According to the mentioned problem, the steering trapezoid is designed for the special circumstances of the track in this article. the steering mathematical model is established and optimized using the least squares method in the MATLAB Optimization Toolbox to improve the steering stability of the car. After manufacturing and testing the FSAE car prototype, the experimental and optimal results are compared, which indicates that the design of the steering trapezoid mechanism reduce tire wear and protect good steering and grip performance.

An Approach to Determine Clamping Forces and Clamping Sequence of Thin-Walled Workpiece during Milling Process

The clamping force and clamping sequence in the process of thin-walled parts is an important factor affecting the quality of the workpiece. This article focused on solving the parts clamping force of the locating point and clamping sequence, according to the process of clamping force on the workpiece, by the means of screw theory and the minimum modulus principle, taking the contact friction into account, the article established a mathematical model. Furthermore, a new approach to optimize clamping and clamping sequence has been put forward combining Matlab optimization toolbox, which provided guidance basic theory for the preload design of the clamping process and flexible clamping. Finally a detailed discussion was conducted to the calculation of clamping force and clamping sequence by using some practical examples.

Design and Optimization of Missile Three-Loop Autopilot Based on Performance Indicators

A classic design method in frequency domain was used in preliminary design of three-loop autopilot. The preliminary design results derived out the bounds and initial values of optimization variables. Based on the system performance indicators, an optimization model was proposed including the use of weight factors and typical values of performance indicators. The optimization design was realized and verified with the use of genetic algorithm (GA) built in Matlab Optimization Toolbox. The design instance shows that the optimization model and strategy have a good effect and could meet the optimization needs when different performance focuses are desired.

An efficient genetic algorithm for solving the quay crane scheduling problem

This paper addresses the quay crane scheduling problem (QCSP), which has been shown to be NP-complete. For this reason, a number of studies have proposed the use of genetic algorithm (GA) as the means to obtain the solution in reasonable time. This study extends the research in this area by utilizing the GA that is available in the latest version of Global Optimization Toolbox in MATLAB 7.13 to facilitate development. It aims to improve the efficiency of the GA search by (1) using an initial solution based on the S-LOAD rule developed by Sammarra, Cordeau, Laporte, and Monaco (2007), (2) using a new approach for defining the chromosomes (i.e., solution representation) to reduce the number of decision variables, and (3) using new procedures for calculating tighter lower and upper bounds for the decision variables. The effectiveness of the developed GA is tested using several benchmark instances proposed by Meisel and Bierwirth (2011). Compared to the current best-known solutions, experimental results show that the proposed GA is capable of finding the optimal or near-optimal solution in significantly shorter time for larger problems.

Energy Efficient Sensor Nodes Powered by Kinetic Energy Harvesters – Design for Optimum Performance

In an energy harvester powered wireless sensor node system, as the energy harvester is the only energy source, it is crucial to configure the microcontroller and the sensor node so that the harvested energy is used efficiently. This paper outlines modelling, performance optimisation and design exploration of the complete, complex system which includes the analogue mechanical model of a tunable kinetic microgenerator, its magnetic coupling with the electrical blocks, electrical power storage and processing parts, the digital control of the microgenerator tuning system, as well as the power consumption models of sensor node. Therefore not only the energy harvester design parameters but also the sensor node operation parameters can be optimised in order to achieve the best system performance. The power consumption models of the microcontroller and the sensor node are built based on their operation scenarios so that the parameters of the digital algorithms can be optimised to achieve the best energy efficiency. In the proposed approach, two Hardware Description Languages, VHDL-AMS and SystemC-A is used to model the system's analogue components as well as the digital control algorithms which are implemented in the microcontroller and the sensor node. Simulation and performance optimisation results are verified experimentally. In the development of the fast design exploration tool based on the response surface technique, the response surface model (RSM) is constructed by carrying out a series of simulations. The RSM is then optimised using MATLAB's optimisation toolbox and the optimisation results are presented.

Magnetic field mitigation by means of passive loop: technical optimization

PurposeThe purpose of this paper is to present an approach to design passive loop systems in order to reach good performances.Design/methodology/approachThe optimization has been performed by means of the MATLAB optimization toolbox “Gatool” which solves the optimization problems with a genetic algorithm.FindingsSeveral configurations have been analyzed by varying the number of loops from 2 to 15, whose geometry has been chosen by the genetic algorithm. Considering a five loops configuration, along the reference path it is possible to obtain a shielding factor almost constant and equal to 3.5.Originality/valueThe optimized configurations have been compared with a practical employed layout composed of 17 closed loops placed above and around the junction zone. The shielding factors obtained by the six loops configuration are comparable with the ones of the practical layout.

A Study on Joint Dispatching of Water Resource of the Dam System in Haoshuichuan Watershed

On account of increasing contradiction between water for life, environment, agriculture and water supply in Haoshuichuan watershed, it constructs new projects for water diversion, pumping, transpiration and distribution on the base of current project layout. A unified deployment of water supply source is formed through 1 reservoir, 11 key dams and 15 medium-sized check dams which have been built in river basins. It establishes watershed water resources joint scheduling mode through application of optimization theory, and adopts MATLAB optimization toolbox for the solution of the model. The research result may provide decision-making basis for river basin agricultural layout, ecological restoration and sustainable economic development, also provide reference for joint scheduling of water sources in similar regions.

The Optimal Design of Electromagnetic Ball Valve with MATLAB Optimization Toolbox

In this paper, the optimization model of ultra high electromagnetic ball valve is established, and using the MATLAB optimization toolbox for optimization calculation. Then the optimum results of relevant structural parameters are compared with C++ prepared random direction method. It shows that the optimal design model of electromagnetic ball valve is correct. So we can draw a conclusion that using MATLAB optimization toolbox to optimum design is feasibility in the hydraulic component design through an engineering example of ultra high electromagnetic ball valve. The optimization results show that the optimization design based on MATLAB optimization toolbox has high precision, the program is simple, the calculation is fast, and the optimal solutions have a high accuracy and reliability.