A coupled robust control/optimization approach for active-passive hybrid piezoelectric networks

2002 ◽  
Vol 11 (3) ◽  
pp. 389-395 ◽  
Author(s):  
M S Tsai ◽  
K W Wang
Keyword(s):  
Robust Control ◽  
Optimization Approach ◽  
Control Optimization

Synthesis Method of Mixed Sensitivity for H-infinity Robust Control Optimization on DC Motor of Mechatronics Model

2021 ◽  
Author(s):  
Jalu A. Prakosa ◽  
Edi Kurniawan ◽  
Suryadi ◽  
Bernadus H. Sirenden ◽  
Purwowibowo ◽  
...  
Keyword(s):  
Robust Control ◽  
Synthesis Method ◽  
Dc Motor ◽  
H Infinity ◽  
Control Optimization

scholarly journals Fundamentals of Force-Controlled Friction Riveting: Part II—Joint Global Mechanical Performance and Energy Efficiency

Materials ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 2489 ◽  
Author(s):  
Gonçalo Pina Cipriano ◽  
Lucian Blaga ◽  
Jorge dos Santos ◽  
Pedro Vilaça ◽  
Sergio Amancio-Filho
Keyword(s):  
Energy Efficiency ◽  
Mechanical Response ◽  
Mechanical Performance ◽  
Tensile Force ◽  
Optimization Approach ◽  
Additional Energy ◽  
Efficient Manner ◽  
Control Optimization ◽  
Friction Parameters ◽  
And Control

The present work investigates the correlation between energy efficiency and global mechanical performance of hybrid aluminum alloy AA2024 (polyetherimide joints), produced by force-controlled friction riveting. The combinations of parameters followed a central composite design of experiments. Joint formation was correlated with mechanical performance via a volumetric ratio (0.28–0.66 a.u.), with a proposed improvement yielding higher accuracy. Global mechanical performance and ultimate tensile force varied considerably across the range of parameters (1096–9668 N). An energy efficiency threshold was established at 90 J, until which, energy input displayed good linear correlations with volumetric ratio and mechanical performance (R-sq of 0.87 and 0.86, respectively). Additional energy did not significantly contribute toward increasing mechanical performance. Friction parameters (i.e., force and time) displayed the most significant contributions to mechanical performance (32.0% and 21.4%, respectively), given their effects on heat development. For the investigated ranges, forging parameters did not have a significant contribution. A correlation between friction parameters was established to maximize mechanical response while minimizing energy usage. The knowledge from Parts I and II of this investigation allows the production of friction riveted connections in an energy efficient manner and control optimization approach, introduced for the first time in friction riveting.

scholarly journals PID gain tuning for Robust Control of PMDC Motor with tracking and disturbance rejection through H∞

2019 ◽  
Vol 9 (1) ◽  
pp. 4097-4102
Keyword(s):  
Robust Control ◽  
Disturbance Rejection ◽  
Pid Controller ◽  
High Efficiency ◽  
Controller Design ◽  
Low Cost ◽  
Optimization Approach ◽  
Industrial Control ◽  
Control Approach ◽  
Pid Controller Design

Permanent-magnet (PM) motors are employed in numerous industrial control applications for their high efficiency, simple mechanism and low cost. In most of the applications, either the plant model is inaccurately defined or the plant parameters are prone to variations over period of time. Also, in most of the applications, have a requirement of good tracking as well as good disturbance rejection, two competing requirements. The controller should cater to the parameter variations as well as provide robust performance against external disturbances and hence requires a robust control approach towards designing a controller. A classical PID controller, which lacks robustness requirements is augmented by H∞ optimization based gain tuning to meet the robustness requirements. This paper discusses a PID controller design using H∞ optimization approach. Different performance goals for tracking and disturbance rejection are defined and PID gains are tuned to meet the goals in H∞ sense. A commercial Maxon RE35 motor is selected for modeling and simulation

D.C. optimization approach to robust control: Feasibility problems

2000 ◽  
Vol 73 (2) ◽  
pp. 89-104 ◽  
Author(s):  
H. D. Tuan ◽  
P. Apkarian ◽  
S. Hosoe ◽  
H. Tuy
Keyword(s):  
Robust Control ◽  
Optimization Approach

Combined Robust Design and Robust Control of an Electric DC Motor

2006 ◽  
Author(s):  
Sulaiman F. Alyaqout ◽  
Panos Y. Papalambros ◽  
A. Galip Ulsoy
Keyword(s):  
Robust Control ◽  
Robust Design ◽  
Computational Cost ◽  
Minimax Problem ◽  
Dc Motor ◽  
Engineering Systems ◽  
Control Optimization ◽  
Minimax Design ◽  
And Control

System performance can significantly benefit from optimally integrating the design and control of engineering systems. To improve the robustness properties of systems, the present article introduces an approach that combines robust design with robust control and investigates the coupling between them. However, the computational cost of improving this robustness can often be high due to the need to solve a resulting minimax design and control optimization problem. To reduce this cost, sequential and iterative strategies are proposed and compared to an all-in-one strategy for solving the minimax problem. These strategies are then illustrated for a case-study: Robust design and robust control of a DC motor. Results show that the resulting strategies can improve the robustness properties of the DC motor. In addition, the coupling strength between robust design and robust control tends to increase as the applied level of uncertainty increases.

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