scholarly journals Optimal Hardware and Control Co-Design Applied to an Active Car Suspension Setup

Machines ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 55
Author(s):  
Michiel Haemers ◽  
Clara-Mihaela Ionescu ◽  
Kurt Stockman ◽  
Stijn Derammelaere
Keyword(s):  
Design Optimization ◽  
Design Method ◽  
State Space Model ◽  
Optimization Method ◽  
Optimal Placement ◽  
Active Components ◽  
Controller Tuning ◽  
Tuning Parameters ◽  
Car Suspension ◽  
And Control

For complex systems, it is not easy to obtain optimal designs for the hardware architecture and control configurations. Every design aspect influences the final performance, and often the interactions of the different components cannot be clearly determined in advance. In this work, a novel co-design optimization method was applied that allows the optimal placement and selection of actuators and sensors to be performed simultaneously with the determination of the control architecture and associated controller tuning parameters. This novel co-design method was applied to a state-space model of a downscaled active car suspension laboratory setup. This setup mimics a car driving over a specific road surface while active components in the suspension have to increase the driver’s comfort by counteracting unwanted vibrations. The result of this co-design optimization methodology is a Pareto front that graphically represents the trade-off between the maximum performance and the total implementation cost; the co-design results were validated with measurements of the physical active car suspension setup. The obtained controller tuning parameters are compared herein with existing controller tuning methods to demonstrate that the co-design method is able to determine optimal controller tuning parameters.

An experience-independent inverse design optimization method of compressor cascade airfoil

2019 ◽  
Vol 233 (4) ◽  
pp. 431-442 ◽  
Author(s):  
Yujie Zhu ◽  
Yaping Ju ◽  
Chuhua Zhang
Keyword(s):  
Design Optimization ◽  
Design Method ◽  
Three Dimensional ◽  
Optimal Solution ◽  
Leading Edge ◽  
Optimization Method ◽  
Inverse Design ◽  
Compressor Cascade ◽  
Suction Surface ◽  
Inverse Design Method

Most of the inverse design methods of turbomachinery experience the shortcoming where the target aerodynamic parameters need to be manually specified depending on the designers’ experience and insight, making the design result aleatory and even deviated from the real optimal solution. To tackle this problem, an experience-independent inverse design optimization method is proposed and applied to the redesign of a compressor cascade airfoil in this study. The experience-independent inverse design optimization method can automatically obtain the target pressure distribution along the cascade airfoil through the genetic algorithm, rather than through the manual specification approach. The shape of cascade airfoil is then solved by the adjoint method. The effectiveness of the experience-independent inverse design optimization method is demonstrated by two inverse design cases of the compressor cascade airfoil, i.e. the inverse design of only the suction surface and the inverse design of both the suction and pressure surfaces. The results show that the proposed inverse design method is capable of significantly improving the aerodynamic performance of the compressor cascade. At the examined flow condition, a thin airfoil profile is beneficial to flow accelerations near the leading edge and flow separation avoidance near the trailing edge. The proposed inverse design method is quite generic and can be extended to the three-dimensional inverse design of advanced compressor blades.

Design of a Reconfigurable Dynamic Testbed for Co-Design Method Validation

2017 ◽  
Author(s):  
Anand P. Deshmukh ◽  
Danny J. Lohan ◽  
James T. Allison
Keyword(s):  
Control System ◽  
Design Method ◽  
Design Methods ◽  
System Architectures ◽  
Car Suspension ◽  
Kinematic Behavior ◽  
Wide Range ◽  
Physical Testing ◽  
Dynamic Testbed ◽  
And Control

Physical testing as a technique for validation of engineering design methods can be a valuable source of insights not available through simulation alone. Physical testing also helps to ensure that design methods are suitable for design problems with a practical level of detail, and can reveal issues related to interactions not captured by physics-based computer models. Construction of physical and testing of physical prototypes, however, is costly and time consuming so it is not often used when investigating new design methods for complex systems. This gap is addressed through an innovative testbed presented here that can be reconfigured to achieve a range of different prototype design properties, including kinematic behavior and different control system architectures. Thus, a single testbed can be used for validation of numerous design geometries and control system architectures. The testbed presented here is a mechanically and electronically reconfigurable quarter-car suspension testbed with nonlinear elements that is capable of testing a wide range of both optimal and sub-optimal design prototypes using a single piece of equipment. Kinematic suspension properties can be changed in an automated way to reflect different suspension linkage designs, spring and damper properties can be adjusted in real time, and control system design can be changed easily through streamlined software modifications. While the specific case study is focused on development of a reconfigurable system for validation of co-design methods, the concept extends to physical validation using reconfigurable systems for other classes of design methods.

Energy and Mission Optimization of an Airship by Constructal Design for Efficiency Method

2013 ◽  
Author(s):  
Michele Trancossi ◽  
Antonio Dumas ◽  
Mauro Madonia
Keyword(s):  
Energy Consumption ◽  
Design Optimization ◽  
Design Method ◽  
Logistic Models ◽  
Optimization Method ◽  
System Level ◽  
Bottom Part ◽  
Constructal Design ◽  
Perception Of Safety ◽  
Point To Point

It is possible to define a novel design method, which aims overcoming both traditional, the traditional Multidisciplinary Design Optimization, and to solve a fundamental issue relating to the actual formalization of the Constructal optimization method. It aims only to enhance and integrate the constructal design method and aims to produce designs, which could be, optimized both at system level and subsystem definition. This novel method is based on the second principle of thermodynamics and the constructal law. It aims to produce a design process based on two steps. The first step aims producing a theoretical design of a system to reach energetic and operative optimization. The second aims to optimize the subcomponents of the system according the bottom up approach defined by constructal design optimization. A third step relating to the readiness against technology analysis is necessary to develop an effective industrial design. This method has named Constructal Design for Efficiency. In this paper the authors, starting from the experience produced by the MAAT EU FP7, about the design of a cruiser-feeder and energy self sufficient airship for transport has produced the optimization of a medium altitude airship for transport, focused on the optimization of flying vehicle architecture to minimize by design the energy consumption during flight. The produced results allow defining a novel airship concept, which optimizes the airship shape to reach three fundamental energetic goals: energy consumption minimization; photovoltaic energy production maximization; definition of the conditions for energetically self-sufficient flight. The defined architecture can maximize the operative possibilities realizing an airship, which can ensure a point-to-point ground, based logistic models without any airport infrastructure with potential breakthrough impacts because of a better integration with any other terrestrial, maritime and aerial transport mode. Notwithstanding the use of hydrogen, it ensures an increased perception of safety by potential customers. It presents a safer ballooning architecture, without internal air ballonets, a cabin not directly attached to the bottom part of the balloon, which can be detached and piloted safely on the ground in case of serious accident during flight.

Design of Flexible Skin for Target Displacements Based on Meso-Structures

2009 ◽  
Author(s):  
Yongqiang Li ◽  
Yong Chen ◽  
Chi Zhou
Keyword(s):  
Design Optimization ◽  
Design Method ◽  
Heterogeneous Material ◽  
Optimization Method ◽  
Computational Framework ◽  
Freeform Fabrication ◽  
Flexible Skin ◽  
Traditional Design ◽  
Design Freedom ◽  
Maximum Minimum

Recent advances in sold freeform fabrication (SFF) present tremendous design freedom for a product design with complex geometries. In this paper, we consider the problem of using rigid materials to design flexible skin of a product component for SFF. A design strategy based on the combination of well-defined meso-structures is presented to achieve desired heterogeneous material properties, and consequently desired flexibility in target directions and positions. We present our computational framework to automate the design optimization process. Due to the dramatically increased design space, a brute force or traditional design optimization method such as the genetic algorithm (GA) and particle swam optimization (PSO) is not efficient. We present a design method based on the idea of analyzing the flexibility of each link for given meso-structures. Two experimental examples are presented to demonstrate its usage in generating the maximum/minimum and target displacements. We also present its comparison with the GA and PSO methods.

Research on the Multidisciplinary Optimization Design Method for the Diesel Engine

2011 ◽  
Vol 84-85 ◽  
pp. 3-7
Author(s):  
Meng Sheng Wang ◽  
Rui Ping Zhou ◽  
Xiang Xu
Keyword(s):  
Diesel Engine ◽  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Optimization Design ◽  
Design Method ◽  
Optimization Method ◽  
Multidisciplinary Optimization ◽  
Design Parameters ◽  
Technical Performance ◽  
The Mathematical Model

Multidisciplinary Design Optimization (MDO) is a new method for achieving an overall optimum design of the complex system. In this paper have researched how to make the mathematical model of the diesel engine system in the CO (Coordination Design Optimization) method, and applied it in the actual practice. The application result demonstrates that in this optimization method, we can achieve the optimal design of this diesel engine by the coordination of rationally configuring the design parameters, and improve the economy, the technical performance, the reliability and the service life of the designed engine.

Finite Element Analysis and Multidisciplinary Design Optimization of Diesel Engine Connecting Rod Based on ISIGHT

2012 ◽  
Vol 479-481 ◽  
pp. 1863-1867
Author(s):  
Shou Guang Yao ◽  
Sheng Chen Zhao ◽  
Fei Liu
Keyword(s):  
Diesel Engine ◽  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Design Method ◽  
Equivalent Stress ◽  
Optimization Method ◽  
Multidisciplinary Design ◽  
Connecting Rod ◽  
Element Analysis ◽  
Maximum Equivalent Stress

Based on the multidisciplinary design optimization method and the MDO software ISIGHT, the 16PA6STC diesel engine connecting rod was taken to the model, used the Pro/engineer software to build the 3D model of connecting rod. The software ANSYS and Nastran was taken to complete the static analysis and modal analysis to get the maximum equivalent stress and the first and second modal frequencies. the software including Pro/Engineer、ANSYS、Nastran, was combined on the ISIGHT to complete the structural optimization work on the condition of restrain the stress and modal of the connecting rod, to explore the application of the MDO design method in the diesel engine connecting rod structure optimization field, offer a reference for the further improvement design study.

Multi-levels Kriging surrogate model-based robust aerodynamics optimization design method

2020 ◽  
Vol 34 (14n16) ◽  
pp. 2040115
Author(s):  
Neng Xiong ◽  
Yang Tao ◽  
Jun Lin ◽  
Xue-Qiang Liu
Keyword(s):  
Design Optimization ◽  
Surrogate Model ◽  
Optimization Design ◽  
Design Method ◽  
Computational Cost ◽  
Optimization Method ◽  
Mean Value ◽  
Robust Design Optimization ◽  
Efficient Global Optimization ◽  
Kriging Surrogate Model

Robust design optimization has a great potential application in many engineering fields. In the conventional robust aerodynamics design optimization method, the main difficulty is expensive computational cost related to a large number of function evaluations for uncertainty quantification (UQ). To alleviate the expensive burden for UQ, two levels Kriging surrogate model was introduced. The first level is for the mean value and the second level is for the variances. Through the second level Kriging surrogate models, the method of Monte Carlo Simulation (MCS), which requires a huge number of function evaluations, can be effectively applied to the analysis of variance. Efficient Global Optimization algorithm (EGO) was employed to achieve the global optimized results. To validate the performance of the design method, both one-dimensional function and two-dimensional function were applied. Finally, robust aerodynamics design optimization was applied for a low-drag airfoil. The results show that the optimal solutions obtained from the uncertainty-based optimization formulation are less sensitive to uncertainties to small manufacturing errors.

scholarly journals Parameter Estimation of a Permanent Magnetic DC Motor

2019 ◽  
Vol 15 (1) ◽  
pp. 28-36 ◽  
Author(s):  
Murtadha Awoda ◽  
Ramzy Ali
Keyword(s):  
Parameter Estimation ◽  
Design Optimization ◽  
System Modeling ◽  
Optimization Method ◽  
Dc Motor ◽  
Pattern Search ◽  
Least Square ◽  
Modeling And Control ◽  
Simulink Model ◽  
And Control

The identification of system parameters plays an essential role in system modeling and control. This paper presents a parameter estimation for a permanent magnetic DC motor using the simulink design optimization method. The parameter estimation may be represented as an optimization problem. Firstly, the initial values of the DC motor parameters are extracted using the dynamic model through measuring the values of voltage, current, and speed of the motor. Then, these values are used as an initial value for simulink design optimization. The experimentally inputoutput data can be collected using a suggested microcontroller based circuit that will be used later for estimating the DC motor parameters by building a simulink model. Two optimization algorithms are used, the pattern search and the nonlinear least square. The results show that the nonlinear least square algorithm gives a more accurate result that almost approaches to the actual measured speed response of the motor.

Development of a Jacobian Module for Advanced Pulp and Paper Simulation and Control

TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 4-11
Author(s):  
MOHAMED CHBEL ◽  
LUC LAPERRIÈRE
Keyword(s):  
Control System ◽  
Nonlinear Behavior ◽  
Simulation Software ◽  
Pulp And Paper ◽  
Pid Controllers ◽  
Tuning Parameters ◽  
Pid Tuning ◽  
Fixed Set ◽  
And Control ◽  
Operating Points

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.

Multivariable modeling and control of an activated sludge process

1998 ◽  
Vol 37 (12) ◽  
pp. 149-156 ◽  
Author(s):  
Carl-Fredrik Lindberg
Keyword(s):  
Activated Sludge ◽  
Nitrate Concentration ◽  
State Space Model ◽  
Activated Sludge Process ◽  
Invariant State ◽  
Linear Quadratic ◽  
Modeling And Control ◽  
Space Model ◽  
And Control ◽  
Time Invariant

This paper contains two contributions. First it is shown, in a simulation study using the IAWQ model, that a linear multivariable time-invariant state-space model can be used to predict the ammonium and nitrate concentration in the last aerated zone in a pre-denitrifying activated sludge process. Secondly, using the estimated linear model, a multivariable linear quadratic (LQ) controller is designed and used to control the ammonium and nitrate concentration.

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