Experimentally-Infused Active System Optimization Framework: Theoretical Convergence Analysis and Airborne Wind Energy Case Study

2018 ◽  
Author(s):  
Nihar Deodhar ◽  
Christopher Vermillion
Keyword(s):  
Numerical Model ◽  
Wind Energy ◽  
Convergence Analysis ◽  
Design Space ◽  
System Optimization ◽  
System Response ◽  
Optimization Strategy ◽  
Active System ◽  
True System ◽  
Iterative Framework

This research presents a convergence analysis for an iterative framework for optimizing plant and controller parameters for active systems. The optimization strategy fuses expensive yet valuable experiments with less accurate yet cheaper simulations. The numerical model is improved at each iteration through a cumulative correction law, using an optimally designed set of experiments. The iterative framework reduces the feasible design space between iterations, ultimately yielding convergence to a small design space that contains the optimum. This paper presents the derivation of an asymptotic upper bound on the difference between the corrected numerical model and true system response. Furthermore, convergence of the numerical model to the true system response and convergence of the design space are demonstrated on an airborne wind energy (AWE) application.

scholarly journals Design Space Approach for Preservative System Optimization of an Anti-Aging Eye Fluid Emulsion

2015 ◽  
Vol 18 (3) ◽  
pp. 551 ◽  
Author(s):  
Felipe Rebello Lourenço ◽  
Fabiane Lacerda Francisco ◽  
Márcia Regina Spuri Ferreira ◽  
Terezinha De Jesus Andreoli ◽  
Raimar Löbenberg ◽  
...  
Keyword(s):  
Design Space ◽  
Challenge Test ◽  
System Optimization ◽  
Effective Concentration ◽  
Optimization Strategy ◽  
Cosmetic Products ◽  
Cosmetic Product ◽  
Space Design ◽  
New Formula ◽  
Space Approach

The use of preservatives must be optimized in order to ensure the efficacy of an antimicrobial system as well as the product safety. Despite the wide variety of preservatives, the synergistic or antagonistic effects of their combinations are not well established and it is still an issue in the development of pharmaceutical and cosmetic products. The purpose of this paper was to establish a space design using a simplex-centroid approach to achieve the lowest effective concentration of 3 preservatives (methylparaben, propylparaben, and imidazolidinyl urea) and EDTA for an emulsion cosmetic product. Twenty-two formulae of emulsion differing only by imidazolidinyl urea (A: 0.00 to 0.30% w/w), methylparaben (B: 0.00 to 0.20% w/w), propylparaben (C: 0.00 to 0.10% w/w) and EDTA (D: 0.00 to 0.10% w/w) concentrations were prepared. They were tested alone and in binary, ternary and quaternary combinations. Aliquots of these formulae were inoculated with several microorganisms. An electrochemical method was used to determine microbial burden immediately after inoculation and after 2, 4, 8, 12, 24, 48, and 168 h. An optimization strategy was used to obtain the concentrations of preservatives and EDTA resulting in a most effective preservative system of all microorganisms simultaneously. The use of preservatives and EDTA in combination has the advantage of exhibiting a potential synergistic effect against a wider spectrum of microorganisms. Based on graphic and optimization strategies, we proposed a new formula containing a quaternary combination (A: 55%; B: 30%; C: 5% and D: 10% w/w), which complies with the specification of a conventional challenge test. A design space approach was successfully employed in the optimization of concentrations of preservatives and EDTA in an emulsion cosmetic product. This article is open to POST-PUBLICATION REVIEW. Registered readers (see “For Readers”) may comment by clicking on ABSTRACT on the issue’s contents page.

Convergence Analysis and Experimental Validation of a Fused Numerical/Experimental Active System Optimization Framework

2018 ◽  
Vol 141 (4) ◽  
Author(s):  
Nihar Deodhar ◽  
Christopher Vermillion
Keyword(s):  
Numerical Model ◽  
Design Optimization ◽  
Convergence Analysis ◽  
Experimental Validation ◽  
Estimation Error ◽  
System Optimization ◽  
Response Surfaces ◽  
Optimization Framework ◽  
Quality Of Fit

This paper presents a convergence analysis and experimental validation of an iterative design optimization framework that fuses numerical simulations with experiments. At every iteration, a G-optimal design generates a set of simulations and experiments that are used to characterize response surfaces. A subset of the experiments termed as the training points are used to fit a combined numerical/experimental response. This numerical response is obtained as a result of numerical model correction via experiments. The quality of fit for this combined response is evaluated using the remaining validation points. Based on the quality of fit, the feasible design space is reduced for a given confidence interval using hypothesis testing. A convergence analysis of the framework quantifies the closeness of the corrected numerical model to the true system as a function of response estimation error. This design optimization framework, along with the convergence result, is validated through an airborne wind energy (AWE) application using a lab-scale water channel setup. The quality of flight is greatly improved by optimizing the center of mass location, pitch angle set point, horizontal and vertical stabilizer areas using an effective experimental infusion as compared to a pure numerically optimized design.

Harmonic Synthesis Design Methodology for Dynamic Spring Balancing

1996 ◽  
Vol 118 (4) ◽  
pp. 733-740 ◽  
Author(s):  
Eungsoo Shin ◽  
D. A. Streit
Keyword(s):  
Dynamic System ◽  
Initial Conditions ◽  
Phase 1 ◽  
System Optimization ◽  
Optimization Method ◽  
Optimization Techniques ◽  
System Response ◽  
Two Phase ◽  
Walking Machine ◽  
Synthesis Design

A new spring balancing technique, called a two-phase optimization method, is presented. Phase 1 uses harmonic synthesis to provide a system configuration which achieves an approximation to a desired dynamic system response. Phase 2 uses results of harmonic synthesis as initial conditions for dynamic system optimization. Optimization techniques compensate for nonlinearities in machine dynamics. Example applications to robot manipulators and to walking machine legs are presented and discussed.

Multifidelity Recursive Cokriging for Dynamic Systems' Response Modification

2018 ◽  
Vol 141 (1) ◽  
Author(s):  
Luigi Bregant ◽  
Lucia Parussini ◽  
Valentino Pediroda
Keyword(s):  
Numerical Model ◽  
Numerical Simulations ◽  
Dynamic Systems ◽  
System Optimization ◽  
The Other ◽  
Experimental Measurements ◽  
Reciprocal Influence ◽  
Tests And Measurements ◽  
Invaluable Tool ◽  
Mixed Approach

In order to perform the accurate tuning of a machine and improve its performance to the requested tasks, the knowledge of the reciprocal influence among the system's parameters is of paramount importance to achieve the sought result with minimum effort and time. Numerical simulations are an invaluable tool to carry out the system optimization, but modeling limitations restrict the capabilities of this approach. On the other side, real tests and measurements are lengthy, expensive, and not always feasible. This is the reason why a mixed approach is presented in this work. The combination, through recursive cokriging, of low-fidelity, yet extensive, numerical model results, together with a limited number of highly accurate experimental measurements, allows to understand the dynamics of the machine in an extended and accurate way. The results of a controllable experiment are presented and the advantages and drawbacks of the proposed approach are also discussed.

scholarly journals Offshore Wind Energy Resource Atlas of Asturias (N Spain)

Proceedings ◽  
2018 ◽  
Vol 2 (23) ◽  
pp. 1416
Author(s):  
Mario López ◽  
Noel Rodríguez-Fuertes ◽  
Rodrigo Carballo
Keyword(s):  
Wind Speed ◽  
Numerical Model ◽  
Wind Energy ◽  
Energy Resource ◽  
Offshore Wind ◽  
Power Curve ◽  
Offshore Wind Energy ◽  
The North ◽  
North Of Spain ◽  
First Time

This work assesses for the first time the offshore wind energy resource in Asturias, a region in the North of Spain. Numerical model and observational databases are used to characterize the gross wind energy resource at different points throughout the area of study. The production of several wind turbines is then forecasted on the basis of each technology power curve and the wind speed distributions. The results are mapped for a better interpretation and discussion.

A Discretized Optimization Strategy for Rest-to-Rest Maneuvers of Overhead Cranes Considering the Effect of Damping

2015 ◽  
Author(s):  
Khaled A. Alghanim ◽  
Khaled A. Alhazza ◽  
Ziyad N. Masoud
Keyword(s):  
Damping Ratio ◽  
Equations Of Motion ◽  
Maximum Velocity ◽  
System Response ◽  
Optimization Strategy ◽  
Time Step ◽  
Natural Period ◽  
Overhead Cranes ◽  
Finite Step ◽  
Acceleration Profile

An optimization strategy to reduce residual vibration of rest-to-rest maneuvers of overhead cranes is proposed. The proposed technique is based on generating shaped acceleration commands for a simple harmonic oscillator with damping included. Furthermore, the proposed technique solves the problem of discrete signal commands that result from using slow digital to analog convertors on real cranes. A discretized acceleration profile is derived analytically using finite step segments. These segments are integrated into a matrix, which is then coupled with a system response matrix through the system’s equations of motion. The resulting input acceleration matrix is then optimized to satisfy rest-to-rest maneuver conditions. The profile designer can control many parameters such as maneuver duration, discrete time step, hoisting speed, damping ratio, maximum velocity and acceleration. Unlike traditional command shapers, the proposed shaped profiles are independent of the natural period of the system, i.e., the acceleration profile duration is designer selectable. Through several examples, the performance of the proposed controller is validated numerically. Results show that the proposed shaping technique can effectively eliminate residual vibrations in rest-to-rest maneuvers of damped single-degree-of-freedom systems.

Boiler Combustion Control System Optimization Strategy

2013 ◽  
Vol 397-400 ◽  
pp. 1064-1068
Author(s):  
Yong Zhang ◽  
Yuan Yao ◽  
Ting Luan
Keyword(s):  
Control System ◽  
Pid Control ◽  
Dynamic Performance ◽  
Control Program ◽  
System Optimization ◽  
Optimization Strategy ◽  
Steam Quality ◽  
Control Scheme ◽  
Better Than ◽  
Fuzzy Adaptive

Optimal control of the boiler combustion system is related to the economy and stability of the entire production process. To the problem that the boiler main product steam quality and the safe operation of the boiler optimization control, the fuzzy adaptive algorithm combined with the traditional PID control in the DCS system is proposed. The method optimizes the control system parameters and improves the control program. The simulation results show that the control scheme is better than the traditional PID control, and has good dynamic performance and stability. Both the boiler outlet steam quality and the security operation of boiler are improved.

Integrated Plant, Observer, and Controller Optimization With Application to Combined Passive/Active Automotive Suspensions

2003 ◽  
Author(s):  
Hosam K. Fathy ◽  
Panos Y. Papalambros ◽  
A. Galip Ulsoy
Keyword(s):  
Optimization Problems ◽  
System Optimization ◽  
Optimization Strategy ◽  
Guarantee System ◽  
Control Optimization ◽  
Car Suspension ◽  
State Measurement ◽  
Full State ◽  
And Control ◽  
Original Derivation

The plant and control optimization problems are coupled in the sense that solving them sequentially does not guarantee system optimality. This paper extends previous studies of this coupling by relaxing their assumption of full state measurement availability. An original derivation of first-order necessary conditions for plant, observer, controller, and combined optimality furnishes coupling terms quantifying the underlying trilateral coupling. Special scenarios where the problems decouple are pinpointed, and a nested optimization strategy that guarantees system optimization strategy that guarantees system optimality is adopted otherwise. Applying these results to combined passive/active car suspension optimization produces a suspension design outperforming its passive, active, and sequentially optimized passive/active counterparts.

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