A Software Environment for Aircraft Modern Control Design and Simulation

Author(s):  
M. Haouani ◽  
O. Akhrif ◽  
M. Saad
Author(s):  
Jürgen Rossmann

The research field of eRobotics is currently an active domain of interest for scientists working in the area of “eSystem engineering”. The objective is to effectively use electronic media — hence the “e” at the beginning of the term — to achieve the best possible advance in the development of their respective fields of use. Well known developments in this research area include eHealth and eMedicine, eLearning, eGovernment, eSecurity, eBusiness, eForensics and so on. The aim of developments in eRobotics is to provide a comprehensive software environment to address robotics-related issues. Starting with user requirements analysis of system design, support for the development and selection of appropriate robot hardware, robot and mechanisms programming, system and process simulation, control design, and encompassing the validation of developed models and programs, eRobotics requires a continuous and systematic computer support. In this way, the ever increasing complexity of current computer-aided robotic solutions will be kept manageable, and know-how from completed work is electronically preserved and made available for further applications. In the first place, this paper is intended to give an overview of the numerous applications of eRobotics that have already been realized und thus to promote the term eRobotics in the field of Virtual Reality and simulation.


Author(s):  
Brian Bax ◽  
Patrick Dean ◽  
Roger Fales

In this work modern robust control systems are designed and compared to standard techniques for a hydraulic implement system. The system includes a four orifice metering valve in an H-bridge configuration and a variable displacement pump. The four valve orifices are coupled so that there is only one input for the valves. There are two control inputs, one for the valve and one for the pump displacement. The complexity of the system makes classic control methods difficult to design. Parameter variations and unmodeled dynamics can cause sluggish performance and instability in some cases. By applying modern control, robustness can be improved relative to classical and single-input/single-output (SISO) control design techniques. Techniques such as H∞ control have been proven effective in many multiple-input/multiple-output (MIMO) applications. Linear analysis shows improvement in robustness characteristics of the system over a conventional PID control scheme. Nonlinear simulations show favorable system response and similarly positive robustness traits for the modern control design.


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