The research field Mechatronics combines the various engineering and science topics of mechanics, electronics, physics, mathematics and computer science into an integrated approach. This interdisciplinary view on tech...
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ISBN:
(纸本)9783908158226
The research field Mechatronics combines the various engineering and science topics of mechanics, electronics, physics, mathematics and computer science into an integrated approach. This interdisciplinary view on technical issues enables the improved design of sophisticated systems meeting the increasing demands on performance, size and weight. Almost any research topic in this exciting field comprises new developments or optimisation in general using state-of-the-art techniques. In this paper case studies of the current research in various applications in the field of mechatronic are presented in progress at AM-TUM.
In this paper, a smart functionally graded beam is investigated. The smart beam consists of three layers: one layer of functionally graded material (FGM) and two layers of piezoelectric material used as sensor and act...
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During last years, smartmaterials and control concepts developments have led to exploring practical applications. To make the step to industrial use, related design processes however must become part of the industria...
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During last years, smartmaterials and control concepts developments have led to exploring practical applications. To make the step to industrial use, related design processes however must become part of the industrial product creation process. This requires the product functional performance simulation models to support the specific aspects related to advanced materials, active systems, actuators, sensors and control and integrate these into system level virtual prototype models. An industrial constraint is that these simulations make maximal use of standard simulation tools such as major FE/BE and MBS codes, 1-D simulation tools as Matlab-Simulink (MSL) etc. This involves developing modelling capabilities for the intelligent material systems and sensor/actuator components inside FE or as 1-D models in MSL. For the control system models, the key element is to link the worlds of 1-D control simulation and geometry-based structural simulation. To design the actual system-level application, a two-step approach is followed. The most promising macro configurations (control on panels, beams, mounts) are selected based on 3-D FE/MBS models using simplified controller models. In the second step, the selected configurations are optimised in terms of actuator and controller strategies/parameters using the 1-D Simulink environment. The research is executed as part of the EC-IP InMAR.
Because the disturbances which govern the dynamical response of a structure cannot be precisely measured, and the system itself has many uncertainties, the development of control strategies that are implementable and ...
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ISBN:
(纸本)0819457388
Because the disturbances which govern the dynamical response of a structure cannot be precisely measured, and the system itself has many uncertainties, the development of control strategies that are implementable and that can accommodate uncertainties and imprecision are becoming a critical and challenging work. PID adaptive controller based on RBF Neural Networks Identifier is developed for structural control in this paper. The combined controller includes PID neural network controller and an identifier based on RBF neural networks. It was implemented on linear single degree of freedom system representation of structures subjected to external disturbances based on the El Centro (1940), Hachinohe (1988), Kobe (1995) and Northridge (1994) earthquake loadings. It is demonstrated that the neuro PID adaptive control method can effectively suppress the vibration of structures.
The recently completed DARPA/AFRL/NASA smart Wing program, performed by a team led by Northrop Grumman Corporation (NGC), addressed the development and demonstration of smartmaterials based concepts to improve the ae...
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The recently completed DARPA/AFRL/NASA smart Wing program, performed by a team led by Northrop Grumman Corporation (NGC), addressed the development and demonstration of smartmaterials based concepts to improve the aerodynamic and aeroelastic performance of military aircraft. This paper presents an overview of the program. The program was divided into two phases. Under Phase I (January 1995 to February 1999), the NGC-led team developed adaptive wing structures with integrated actuation mechanisms to replace standard hinged control surfaces and provide variable, optimal aerodynamic shapes for a variety of flight regimes. An important limitation of the Phase I effort, the low bandwidth achievable in Shape Memory Alloy (SMA)-based actuation, was addressed in Phase 2 (January 1997 to November 2001). Under Phase 2, a 30-percent scale full span wind tunnel model of an NGC Uninhabited Combat Air Vehicle (UCAV) design was developed. For the Phase 2 first wind tunnel test, completed in March 2000, SMA-actuated, hingeless, smoothly contoured, flexible leading and trailing edge control surfaces were incorporated on one wing of the model and conventional trailing edge control surfaces actuated using electric motors on the other. This test provided baseline steady-state data at Mach numbers ranging from 0.3 to 0.8. The test also demonstrated the benefits of the smart leading edge control surface to compensate for loss of aileron effectiveness with increasing dynamic pressure. The second test, performed in May 2001, demonstrated a hingeless, smoothly contoured, structurally compliant, trailing edge control surface actuated using piezoelectric motors. Spanwise and chordwise shape control was demonstrated for the smart trailing edge control surface at deflection rates of up to 80degrees/s. Performance improvements in terms of increased rolling and pitching moments and lower control surface deflections were quantified. The work performed under this program has demonstrated the feasi
A high-efficiency driving amplifier with small profile for smart actuators is essential for portable actuator devices. In this paper, a detailed optimized design of half-bridge switching circuit to drive smart actuato...
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ISBN:
(纸本)0819448540
A high-efficiency driving amplifier with small profile for smart actuators is essential for portable actuator devices. In this paper, a detailed optimized design of half-bridge switching circuit to drive smart actuators is described. The mathematical optimization procedure is applied to the traditional circuit design to make the circuit smaller and more efficient. The objective function presented in this paper is to minimize the total weight of the circuit, including heat sink, inductor and bus capacitor. The calculation of the power dissipation of MOSFET is adopted as a critical step to get the suitable heat sink. The optimization results are presented to demonstrate the effectiveness of this method.
The DARPA/AFRL/NASA smart Wing program, conducted by a team led by Northrop Grumman Corporation (NGC) under the DARPA smartmaterials and structures initiative, addresses the development of smart technologies and demo...
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ISBN:
(纸本)0819440183
The DARPA/AFRL/NASA smart Wing program, conducted by a team led by Northrop Grumman Corporation (NGC) under the DARPA smartmaterials and structures initiative, addresses the development of smart technologies and demonstration of relevant concepts to improve the aerodynamic performance of military aircraft. This paper presents an overview of the smart wing program. The program is divided into two phases. Under Phase 1, (1995 - 1999) the NGC team developed adaptive wing structures with integrated actuation mechanisms to replace standard hinged control surfaces and provide variable, optimal aerodynamic shapes for a variety of flight regimes. Two half-span 16% scale wind tunnel models, representative of an advanced military aircraft wing, one with conventional control surfaces and the other with shape memory alloy (SMA) actuated smartcontrol surfaces, were fabricated and tested in the NASA Langley Research Center (LaRC) Transonic Dynamics Tunnel (TDT) during two series of tests, conducted in May 1996 and June 1998, respectively. Details of the Phase I effort are documented in several papers(1,2,3,4). The on-going Phase 2 effort discussed here was started in January 1997 and includes several significant improvements over Phase 1: 1) a much larger, full-span model;2) both leading edge (LE) and trailing edge (TE) smartcontrol surfaces;3) high-band width actuation systems;and 4) wind tunnel tests at transonic Mach numbers and high dynamic pressures (up to 300 psf.) representative of operational flight regimes. Phase 2 includes two wind tunnel tests, both at the NASA LaRC TDT - the first one was completed in March 2000 and the second (and final) test is scheduled for April 2001. The first test demonstrated roll-effectiveness over a wide range of Mach numbers achieved using a combination of hingeless, smoothly contoured, SMA actuated, LE and TE control surfaces. The second test addresses the development and demonstration of high bandwidth actuation. An over-view of the Pha
A prevalent method of damage detection is based on identifying changes in modal characteristics due to damage induced variations in stiffness or mass along a structure. It is known that modal frequencies can be insens...
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A prevalent method of damage detection is based on identifying changes in modal characteristics due to damage induced variations in stiffness or mass along a structure. It is known that modal frequencies can be insensitive to damage, and the open-loop sensitivity itself depends on modal properties and damage location. Here, we develop methods of designing control laws that enhance the sensitivity of modal characteristics to damage. Sensitivity enhancing control exploits the relationship between control gains and closed-loop dynamics in order to increase the observability of damage. The design methods are based on optimization of cost functions that involve the dependence of classic measures of sensitivity on design variables, which include placement of sensors and actuators and state feedback control gains. Due to the size of the design space and the unknown nature of the cost surface, genetic algorithms are used to find control laws that maximize sensitivity to specific damage types subject to control effort and stability constraints. Optimized control laws designed for sensitivity enhancement of stiffness damage in a cantilevered beam are demonstrated by numerical simulation.
A prevalent method of damage detection is based on identifying changes in modal characteristics due to damage induced variations in stiffness or mass along a structure. It is known that modal frequencies can be insens...
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A prevalent method of damage detection is based on identifying changes in modal characteristics due to damage induced variations in stiffness or mass along a structure. It is known that modal frequencies can be insensitive to damage, and the open-loop sensitivity itself depends on modal properties and damage location. Here, we develop methods of designing control laws that enhance the sensitivity of modal characteristics to damage. Sensitivity enhancing control exploits the relationship between control gains and closed-loop dynamics in order to increase the observability of damage. The design methods are based on optimization of cost functions that involve the dependence of classic measures of sensitivity on design variables, which include placement of sensors and actuators and state feedback control gains. Due to the size of the design space and the unknown nature of the cost surface, genetic algorithms are used to find control laws that maximize sensitivity to specific damage types subject to control effort and stability constraints. Optimized control laws designed for sensitivity enhancement of stiffness damage in a cantilevered beam are demonstrated by numerical simulation.
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