Nested Optimization of an Elevator and Its Gain-Scheduled LQG Controller

2002 ◽  
Author(s):  
Hosam K. Fathy ◽  
Scott A. Bortoff ◽  
G. Scott Copeland ◽  
Panos Y. Papalambros ◽  
A. Galip Ulsoy
Keyword(s):  
Ride Comfort ◽  
Optimization Problems ◽  
Torque Ripple ◽  
Guide Rail ◽  
Control Optimization ◽  
Drive Motor ◽  
Rail Irregularity ◽  
Optimal System Design ◽  
And Control ◽  
Gain Scheduled

This paper studies the combined optimization of an elevator’s design (plant) and LQG controller for ride comfort. Elevator dynamics and primary vibration sources (drive motor torque ripple and guide rail irregularity) are modeled using an object-oriented language. The resulting model is nonlinear. Elevator vibrations are minimized with respect to both the design and the LQG controller. LQG gains are scheduled versus cab mass and height for robustness. Sequential plant/control optimization produces an optimal ride only when the torque ripple is the dominant disturbance. Otherwise, passive vibration reduction decreases the controller’s authority over the vibrations, hence coupling the plant and control optimization problems. Combined plant/controller optimization, using a nested strategy, mitigates this coupling and finds the correct optimal system design.

Control Proxy Functions for Sequential Design and Control Optimization

2011 ◽  
Vol 133 (9) ◽  
Author(s):  
Diane L. Peters ◽  
P. Y. Papalambros ◽  
A. G. Ulsoy
Keyword(s):  
Simultaneous Optimization ◽  
Sequential Optimization ◽  
Control Optimization ◽  
Smart Products ◽  
System Solution ◽  
Optimal System Design ◽  
Problem Formulations ◽  
And Control ◽  
Sequential Strategy ◽  
Selection Of

Optimal system design of “smart” products requires optimization of both the artifact and its controller. When the artifact and the controller designs are independent, the system solution is straightforward through sequential optimization. When the designs are coupled, combined simultaneous optimization can produce system-optimal results, but presents significant computational and organizational complexity. This paper presents a method that produces results comparable with those found with a simultaneous solution strategy, but with the simplicity of the sequential strategy. The artifact objective function is augmented by a control proxy function (CPF), representing the artifact’s ease of control. The key to successful use of this method is the selection of an appropriate CPF. Four theorems that govern the choice and evaluation of a CPF are given. Each theorem is illustrated using a simple mathematical example. Specific CPFs are then presented for particular problem formulations, and the method is applied to the optimal design and control of a micro-electrical mechanical system actuator.

Enhancement of SPSA algorithm performance using reservoir quality maps: Application to coupled well placement and control optimization problems

2020 ◽  
Vol 189 ◽  
pp. 106984 ◽  
Author(s):  
Behzad Pouladi ◽  
Abdorreza Karkevandi-Talkhooncheh ◽  
Mohammad Sharifi ◽  
Shahab Gerami ◽  
Alireza Nourmohammad ◽  
...  
Keyword(s):  
Optimization Problems ◽  
Reservoir Quality ◽  
Well Placement ◽  
Algorithm Performance ◽  
Control Optimization ◽  
And Control ◽  
Quality Maps

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.

Comprehensive Analysis of Wheel Drive Motor Torque Characteristics

2011 ◽  
Vol 130-134 ◽  
pp. 1156-1160
Author(s):  
Qing Sun ◽  
Shu Guang Zuo ◽  
Cong Gan Ma ◽  
Fan Hui Zhang ◽  
Shu Meng
Keyword(s):  
Electric Vehicle ◽  
Preventive Measures ◽  
Ride Comfort ◽  
Torque Ripple ◽  
Motor Torque ◽  
Dc Motors ◽  
Wheel Drive ◽  
Drive Motor ◽  
Permanent Magnet Dc Motors ◽  
Drive Systems

Wheel drive motor torque ripple will cause noise and vibration, and affect vehicle ride comfort. The research status of electric vehicle wheel drive systems was described briefly. Based on the analysis and comparison of several electric vehicle motor, The causes of torque ripple in permanent magnet DC motors were summarized. Preventive measures of the torque ripple were proposed accordingly. Finally to be proposed were the new questions of the torque output characteristic of BLDC while used as the wheel drive motor in complex driving conditions.

SIALIC ACID IN THE PRIMARY AND DIFFERENTIAL DIAGNOSIS OF LUNG CANCER

2017 ◽  
Vol 63 (6) ◽  
pp. 926-932
Author(s):  
Lyudmila Belskaya ◽  
Viktor Kosenok ◽  
Ж. Массард
Keyword(s):  
Lung Cancer ◽  
Enzyme Activity ◽  
Optimization Problems ◽  
Primary Lung Cancer ◽  
Nonparametric Test ◽  
Nonsmall Cell Lung Cancer ◽  
Group Differences ◽  
Diagnosis Of Lung Cancer ◽  
And Control ◽  
Control Study

So far optimization problems for diagnostics and prognostication aids remained relevant for lung cancer as a leader in the structure of cancers. Objective: a search for regularities of changes in the saliva enzyme activity in patients with nonsmall cell lung cancer. In the case-control study, 505 people took part, divided into 2 groups: primary (lung cancer, n=290) and control (conventionally healthy, n=215). All the participants went through a questionnaire survey, saliva biochemical counts, and a histological verification of their diagnosis. The enzyme activity was measured with spectrophotometry. Between-group differences were measured with the nonparametric test. It was shown that in terms of lung cancer, we observe metabolic changes, described with the decreased de Ritis coefficient (p

scholarly journals Fuel metering and control optimization based on combustion state diagnosis

2020 ◽  
Vol 594 ◽  
pp. 012013
Author(s):  
X H Wang ◽  
H T Chen ◽  
X X Zhu ◽  
J L Zhang ◽  
W L Liu ◽  
...  
Keyword(s):  
Control Optimization ◽  
And Control ◽  
State Diagnosis
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