Rigid and Flexible Body Modeling for a Triaxial Shaker Control System

1995 ◽  
Author(s):  
John J. Dougherty ◽  
Hossny El-Sherief ◽  
Thanh Nguyen
Keyword(s):  
Computer Simulation ◽  
Control System ◽  
Rigid Body ◽  
Test Data ◽  
Flexible Body

Abstract The modeling of a triaxial shaker system is discussed. The shaker system has eight inputs and six outputs. The models have been implemented in a computer simulation; both the rigid body and flexible body effects have been simulated. Results from the simulation have been compared to test data.

Design of sliding mode flight control system for a flexible aircraft

2021 ◽  
pp. 095441002110455
Author(s):  
Majeed Mohamed ◽  
Madhavan Gopakumar
Keyword(s):  
Control System ◽  
Rigid Body ◽  
Flight Control ◽  
High Speed ◽  
Sliding Mode ◽  
Flight Mechanics ◽  
Frequency Separation ◽  
Flight Control System ◽  
Flexible Aircraft ◽  
Aircraft Dynamics

The evolution of large transport aircraft is characterized by longer fuselages and larger wingspans, while efforts to decrease the structural weight reduce the structural stiffness. Both effects lead to more flexible aircraft structures with significant aeroelastic coupling between flight mechanics and structural dynamics, especially at high speed, high altitude cruise. The lesser frequency separation between rigid body and flexible modes of flexible aircraft results in a stronger interaction between the flight control system and its structural modes, with higher flexibility effects on aircraft dynamics. Therefore, the design of a flight control law based on the assumption that the aircraft dynamics are rigid is no longer valid for the flexible aircraft. This paper focuses on the design of a flight control system for flexible aircraft described in terms of a rigid body mode and four flexible body modes and whose parameters are assumed to be varying. In this paper, a conditional integral based sliding mode control (SMC) is used for robust tracking control of the pitch angle of the flexible aircraft. The performance of the proposed nonlinear flight control system has been shown through the numerical simulations of the flexible aircraft. Good transient and steady-state performance of a control system are also ensured without suffering from the drawback of control chattering in SMC.

scholarly journals Air Temperature Control System in a Building on the Basis of Mathematical Modelling

2018 ◽  
Vol 155 ◽  
pp. 01041 ◽  
Author(s):  
Aleksandr Pilipenko ◽  
Sergei Petrov
Keyword(s):  
Computer Simulation ◽  
Control System ◽  
Mathematical Modelling ◽  
Mathematical Models ◽  
Air Temperature ◽  
Temperature Control ◽  
Automated System ◽  
Temperature Control System ◽  
Heating Systems ◽  
The Cost

In the article the authors solve a crucial objective of reducing the cost of heating services through the introduction of a system, controlling boilers and heating devices, based on modelling of the building and predicting heating systems functioning and operation. The authors describe the method of mathematical modelling of heating systems of the building and represent the developed mathematical models, pledged and installed into the developed automated system. The authors have offered an automated system of dispatch control of the boilers with the elements of computer simulation and modelling.

Computer Simulation of Hip Osteotomies for Dysplastic Coxarthroses: Use of a Rigid Body Spring Model

1993 ◽  
pp. 171-186
Author(s):  
Naoto Shiba ◽  
Hisashi Yamashita ◽  
Fujio Higuchi ◽  
Akio Inoue
Keyword(s):  
Computer Simulation ◽  
Rigid Body ◽  
Spring Model

Cross-Coupled Adaptive Feedrate Control for Multiaxis Machine Tools

1991 ◽  
Vol 113 (3) ◽  
pp. 451-457 ◽  
Author(s):  
Hua-Yi Chuang ◽  
Chang-Huan Liu
Keyword(s):  
Computer Simulation ◽  
Control System ◽  
Motion Control ◽  
Control Strategy ◽  
Machine Tools ◽  
Feedback Loop ◽  
Contour Error ◽  
Coupled Motion ◽  
Contouring Accuracy ◽  
Perturbed Model

Cross-coupled controllers have been proposed for improving contouring accuracy of multiaxis machine tools. However, during cross-coupled motion control, increasing contour feedrate may result in larger contour errors. In order to increase feedrate and hence productivity without sacrificing the contouring performance, this paper presents an adapative feedrate control strategy based on a linear perturbed model. The method effectively closes the feedback loop between the contour error and feedrate. An experimental biaxial control system is constructed to implement the proposed strategy. Both computer simulation and experiments have verified that desired contouring accuracy can be achieved.

Modelling and Performance Assessment of an Antenna-Control System

1982 ◽  
Vol 104 (1) ◽  
pp. 41-48
Author(s):  
C. R. Burrows
Keyword(s):  
Computer Simulation ◽  
Energy Transfer ◽  
Control System ◽  
Qualitative Data ◽  
Regenerative Braking ◽  
General Interest ◽  
Continuous Control ◽  
And Performance ◽  
And Control ◽  
Search Capability

An assessment is made of a surveillance-radar control system designed to provide a sector-search capability and continuous control of antenna speed without unwanted torque-reaction on the supporting mast. These objectives are attained by utilizing regenerative braking, and control is exercised through Perbury CVTs. A detailed analysis of the system is given. The models derived for the Perbury CVTs supplement the qualitative data contained in earlier papers. Some results from a computer simulation are presented. Although the paper is concerned with a particular problem, the analysis of the CVTs, and the concept of using energy transfer to control large inertial loads, are of more general interest.

Synthesis of Multivariable Controller With Plant Test Data

1994 ◽  
Vol 116 (2) ◽  
pp. 309-313 ◽  
Author(s):  
Jenq-Tzong H. Chan
Keyword(s):  
Control System ◽  
Test Data ◽  
Open Loop ◽  
Loop System ◽  
Controller Synthesis ◽  
System Model ◽  
Multivariable Control ◽  
Open Loop System ◽  
Plant Test ◽  
Multivariable Controller

A method to synthesize decoupled multivariable control system from a batch of plant test data is introduced. The method is applicable when the system has more inputs than outputs and is open-loop stable. An advantage of this method is that explicit identification of an open-loop system model is not required for controller synthesis.

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