Combined Optimal Design and Control With Application to an Electric DC Motor

2002 ◽  
Vol 124 (2) ◽  
pp. 183-191 ◽  
Author(s):  
Julie A. Reyer ◽  
Panos Y. Papalambros
Keyword(s):  
Decision Model ◽  
Control Design ◽  
Dc Motor ◽  
Physical Structure ◽  
Pareto Analysis ◽  
Design And Optimization ◽  
Overall Design ◽  
And Control ◽  
Fully Coupled

In the design and optimization of artifacts requiring both mechanical and control design, the process is typically divided and performed in separate steps. The physical structure is designed first, a control strategy is selected, and the actual controller is then designed. This article examines how this separation could affect the overall system design and how the combination of the separate problems into a single decision model could improve the overall design, using an electric DC motor as a case study. The combination is challenging since the two problems often have different design criteria, decision objectives, and mathematical model properties. Furthermore, the two problems are often fully coupled in that the physical structure depends on the controller and the controller depends on the physical structure. A Pareto analysis is suggested as a rigorous way to compare a variety of design scenaria.

Optimal Design and Control of an Electric DC Motor

1999 ◽  
Author(s):  
Julie A. Reyer ◽  
Panos Y. Papalambros
Keyword(s):  
Control Strategy ◽  
Decision Model ◽  
Control Design ◽  
Dc Motor ◽  
Physical Structure ◽  
Pareto Analysis ◽  
Design And Optimization ◽  
Overall Design ◽  
And Control

Abstract In the design and optimization of artifacts requiring both mechanical and control design, the process is typically divided and performed in separate steps. The physical structure is designed first, a control strategy is selected, and the actual controller is then designed. This paper examines how this separation could affect the overall system design and how the combination of the separate problems into a single decision model could improve the overall design, using an electric DC motor as a case study. The combination is challenging since the two problems often have different design criteria and objectives and mathematical model properties. A Pareto analysis is suggested as a rigorous way to compare a variety of design scenaria.

A Problem Class With Combined Architecture, Plant, and Control Design Applied to Vehicle Suspensions

2019 ◽  
Vol 141 (10) ◽  
Author(s):  
Daniel R. Herber ◽  
James T. Allison
Keyword(s):  
Dynamic Optimization ◽  
Design Problem ◽  
Control Design ◽  
Vehicle Suspension ◽  
Engineering Systems ◽  
Linear Quadratic ◽  
Problem Class ◽  
Physical Elements ◽  
And Control

Here we describe a problem class with combined architecture, plant, and control design for dynamic engineering systems. The design problem class is characterized by architectures comprised of linear physical elements and nested co-design optimization problems employing linear-quadratic dynamic optimization. The select problem class leverages a number of existing theory and tools and is particularly effective due to the symbiosis between labeled graph representations of architectures, dynamic models constructed from linear physical elements, linear-quadratic dynamic optimization, and the nested co-design solution strategy. A vehicle suspension case study is investigated and a specifically constructed architecture, plant, and control design problem is described. The result was the automated generation and co-design problem evaluation of 4374 unique suspension architectures. The results demonstrate that changes to the vehicle suspension architecture can result in improved performance, but at the cost of increased mechanical complexity. Furthermore, the case study highlights a number of challenges associated with finding solutions to the considered class of design problems. One such challenge is the requirement to use simplified design problem elements/models; thus, the goal of these early-stage studies are to identify new architectures that are worth investigating more deeply. The results of higher-fidelity studies on a subset of high-performance architectures can then be used to select a final system architecture. In many aspects, the described problem class is the simplest case applicable to graph-representable, dynamic engineering systems.

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.

Control Design for the Active Stabilization of Rail Wheelsets

2007 ◽  
Vol 130 (1) ◽  
Author(s):  
T. X. Mei ◽  
H. Li
Keyword(s):  
Design Method ◽  
Control Design ◽  
Optimization Procedure ◽  
Control Analysis ◽  
Design And Optimization ◽  
Stabilization Control ◽  
Number Of Factors ◽  
Parameter Variations ◽  
Active Stabilization

Through a detailed control assessment of a conventional railway wheelset, this paper addresses some of the key design issues in the development of active primary suspensions for the stabilization control of railway vehicles. It reveals the basic feedback requirements for achieving adequate stability and hence provides a useful insight of how active controllers may be structured. For the control design, a number of factors in addition to the stabilization are considered including the actuation requirements, creep forces at the wheel-rail contact, track following as well as robustness against parameter variations. Based on the outcome of the control analysis, the study proposes a design and optimization procedure for the development of active wheelset control. The design method is applied to a two-axle vehicle in a case study, which shows that the new design approach is advantageous when compared with other design methods previously studied.

scholarly journals Identification and Speed Control of DC Motor Using Fractional Order PID: Microcontroller

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Magdi M. El-Saadawi ◽  
Eid Abdelbaqi Gouda ◽  
Mostafa A. Elhosseini ◽  
Mohamed Said Essa
Keyword(s):  
Fractional Order ◽  
Pid Control ◽  
Pid Controller ◽  
Dc Motor ◽  
Grey Wolf ◽  
Control Effect ◽  
Grey Wolf Optimization ◽  
And Control ◽  
Fractional Order Pid

This paper uses Fractional-order PID control (FOPID) to control the speed of the DC motor.  FOPID is more flexible and confident in controlling control higher-order systems compared to classical PID. In this work, the FOPID controller tuning is carried out using different methods ranging from classical techniques to most recent heuristic methods are Fractional Grey wolf Optimization and Nelder-Mead. Moreover, parameter estimation of real-world DC motor is carried out experimentally using Matlab/Simulink interfaced to an Arduino Uno board. The feasibility of FOPID is demonstrated through applications to well-known DC motor case study and the estimated DC motor. Based on ISE, ITE, and ISTE performance measures, the proposed approach provide less settling time, rise time and comparable overshoot compared with existing literature approaches. A robustness assessment with differences in the DC motor components is performed. Simulation finding provide validation of the suggested work and the FOPID controller effectiveness as compared to classical PID controller in terms of robustness and control effect.

Control Design for High-Fidelity Cyber-Physical Systems With Applications to Experimental Fluid-Structure Interaction Studies

2017 ◽  
Author(s):  
Rajmohan Waghela ◽  
Matthew Bryant
Keyword(s):  
Fluid Structure Interaction ◽  
Control Design ◽  
Interaction Force ◽  
Physical Structure ◽  
Model Matching ◽  
Fluid Structure ◽  
Structure Interaction ◽  
Complex Fluid ◽  
Stiffness And Damping

A cyber-physical system (CPS) combines active actuation, sensing, and a control algorithm to virtually replicate a physical structure with desired inertia, stiffness, and damping properties. The interaction of a CPS with a fluid flow can be used to study complex fluid-structure interaction phenomena. This paper highlights some of the control design challenges associated with the design of CPS and elaborates on issues pertaining to performance and lag. A model for including the interaction force and a potential work-around to inertia compensation are presented. Finally, a case study compares classical PID control with H∞ based model-matching control design.

A Problem Class With Combined Architecture, Plant, and Control Design Applied to Vehicle Suspensions

2018 ◽  
Author(s):  
Daniel R. Herber ◽  
James T. Allison
Keyword(s):  
Dynamic Optimization ◽  
Design Problem ◽  
Control Design ◽  
Design Solution ◽  
Vehicle Suspension ◽  
Linear Quadratic ◽  
Problem Class ◽  
Physical Elements ◽  
And Control

Here we describe a problem class with combined architecture, plant, and control design for dynamic engineering systems. The design problem class is characterized by architectures comprised of linear physical elements and nested co-design optimization problems employing linear-quadratic dynamic optimization. The select problem class leverages a number of existing theory and tools and is particularly attractive due to the symbiosis between labeled graph representations of architectures, dynamic models constructed from linear physical elements, linear-quadratic dynamic optimization, and the nested co-design solution strategy. A vehicle suspension case study is investigated and a specifically constructed architecture, plant, and control design problem is described. The result was the automated generation and co-design problem evaluation of 4,374 unique suspension architectures. The results demonstrate that changes to the vehicle suspension architecture can result in improved performance, but at the cost of increased mechanical complexity. Furthermore, the case study highlights a number of challenges associated with finding solutions to the considered class of design problems.

scholarly journals Integrated Guidance and Control Design For Time-Constrained Interception

2020 ◽  
Author(s):  
Abhinav Sinha ◽  
Shashi Ranjan Kumar ◽  
Dwaipayan Mukherjee
Keyword(s):  
Sliding Mode ◽  
Control Design ◽  
Lateral Acceleration ◽  
Restrictive Assumption ◽  
Guidance And Control ◽  
Overall Design ◽  
Maneuvering Target ◽  
Wide Range ◽  
Integrated Guidance And Control ◽  
And Control

This paper proposes integrated guidance and control design to intercept a non-maneuvering target at a pre-specified time of interception. The problem is addressed considering nonlinear engagement kinematics and the interceptor is steered using the combined effects of canard as well as tail configurations (dual control interceptors). Different formulations of time-to-go, without the restrictive assumption of interceptor's small heading angle, have been used in deriving the guidance commands, allowing the proposed strategies to remain effective over a wide range of impact time values. A weighted effort allocation scheme, in canard and tail deflections, has been proposed to generate the required lateral acceleration. The overall design uses sliding mode control owing to its simplicity of design. Finally, simulations are presented for various scenarios, including impaired actuator, vindicating the efficacy of the proposed technique.

scholarly journals Integrated Guidance and Control Design For Time-Constrained Interception

2020 ◽  
Author(s):  
Abhinav Sinha ◽  
Shashi Ranjan Kumar ◽  
Dwaipayan Mukherjee
Keyword(s):  
Sliding Mode ◽  
Control Design ◽  
Lateral Acceleration ◽  
Restrictive Assumption ◽  
Guidance And Control ◽  
Overall Design ◽  
Maneuvering Target ◽  
Wide Range ◽  
Integrated Guidance And Control ◽  
And Control

This paper proposes integrated guidance and control design to intercept a non-maneuvering target at a pre-specified time of interception. The problem is addressed considering nonlinear engagement kinematics and the interceptor is steered using the combined effects of canard as well as tail configurations (dual control interceptors). Different formulations of time-to-go, without the restrictive assumption of interceptor's small heading angle, have been used in deriving the guidance commands, allowing the proposed strategies to remain effective over a wide range of impact time values. A weighted effort allocation scheme, in canard and tail deflections, has been proposed to generate the required lateral acceleration. The overall design uses sliding mode control owing to its simplicity of design. Finally, simulations are presented for various scenarios, including impaired actuator, vindicating the efficacy of the proposed technique.

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