The paper examines the conditions for isolating the unknown input detection from the effects of the measurements noise in the important family of positional control problems. The study is motivated by the need of impr...
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The paper examines the conditions for isolating the unknown input detection from the effects of the measurements noise in the important family of positional control problems. The study is motivated by the need of improving the homing performance of interceptor missiles against randomly maneuvering targets. The required isolation is possible if, in addition to noisy relative position measurements, noise-free measurement of the line of slight rate or the relative lateral velocity is available. Although with noisy measurement of line of slight rate the isolation of the input is not possible, the detection filter designed for the noise-free case succeeds to provide a satisfactory estimate of target acceleration, which is needed for an improved homing performance.
An Unmanned Aerial Vehicle (UAV) formation in a leader-follower structure, where the UAVs are flying a common trajectory determined by a route planner hosted on the leader is considered. The path description is compre...
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A physically parameterized continuous-time velocity-scheduled LPV state-space model of a heavy-truck is identified from measurement data. The aim is to develop a model for controller which steers the vehicle by brakin...
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A physically parameterized continuous-time velocity-scheduled LPV state-space model of a heavy-truck is identified from measurement data. The aim is to develop a model for controller which steers the vehicle by braking either the one or the other front wheel. It can be applied in many vehicles, where the sole possibility to automate the steering in emergency situations, like e.g. unintended lane departure, is the application of the electronic brake system. Such steering controllers usually require the prediction of the yaw rate and the steering angle on every possible velocity. This problem defines the requirements for the model. Four different order model structures are derived from a certain physical description. Assuming state and output noise, all of them are identified in parameter-varying observer form using prediction error method. The quadratic criterion function is composed from measurement data of several different experiments. Each experiments are carried out on constant velocities but the cost is constituted from different velocity experiments. That structure is selected for controller design which has the best cost on test data out of those the poles of which are in the control bandwidth. The poles are defined on constant velocity. The resulted nominal model consists of the feedback connection of the yaw dynamics with one state-variable and the steering system dynamics with two states and of a first order actuator dynamics with time-delay The predicted outputs show a good fit to the measurements.
The paper deal with 3D graphics simulators history. Several generation of space simulators that were used in training centers including Yu. A. Gagarin Russian State Scientific-research and Test Centre of Cosmonaut Tra...
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The paper deal with 3D graphics simulators history. Several generation of space simulators that were used in training centers including Yu. A. Gagarin Russian State Scientific-research and Test Centre of Cosmonaut Training (Moscow, Russia) are discussed. Number of US-Russia international space station programs use these cosmonaut training system in order to increase the efficiency of crews' space activities, and to ensure safe manned flights. Today we introduce powerful PC-based solution for Virtual Studio. Formal requirements for such a system are declared and its distributed architecture implementation is briefly outlined.
We propose adaptive nonlinear auto-associative modeling (ANAM) based on Locally Linear Embedding algorithm (LLE) for learning intrinsic principal features of each concept separately and recognition thereby. Unlike tra...
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A constrained linear optimal control for a low-power industrial gas turbine based on input-output linearization is proposed in this paper. It uses a nonlinear state space model of the gas turbine in input-affine form ...
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A constrained linear optimal control for a low-power industrial gas turbine based on input-output linearization is proposed in this paper. It uses a nonlinear state space model of the gas turbine in input-affine form based on first engineering principles. According to the control aims the nonlinear model is input-output linearized and an LQ servo controller is developed for the linearized model. We have some additional constraints on the state and input variables of the closed-loop plant fed back by the LQ servo controller. These constraints can be kept in a simple way designing an MPT-controller. The complete control structure is investigated by simulation studies.
An unmanned aerial vehicle (UAV) formation in a leader-follower structure, where the UAVs are flying a common trajectory determined by a route planner hosted on the leader is considered. The path description is compre...
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An unmanned aerial vehicle (UAV) formation in a leader-follower structure, where the UAVs are flying a common trajectory determined by a route planner hosted on the leader is considered. The path description is compressed by polynomial functions with respect to the flight envelope constraints and transmitted to the followers, where a model predictive control (MPC) outer loop controller specifies the command signals for the 7-h locally controlled dynamics with respect to the nonlinear constraints of the aircraft dynamics. Real time feasibility issues associated with the design are discussed.
The optical behaviour of the (human) cornea is often characterized with the Zernike-coefficients derived via the Zernike-transform of its optical power map. In this paper, a radial transform based on the Chebyshev-pol...
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The optical behaviour of the (human) cornea is often characterized with the Zernike-coefficients derived via the Zernike-transform of its optical power map. In this paper, a radial transform based on the Chebyshev-polynomials of the second kind is suggested for a surface-based, rather than an optical power map based representation of the cornea. This transform is well-suited for providing compact representations for quasi-hemispherical surfaces, and after appropriate argument-transform applied to these polynomials also for spherical-calotte-like surfaces. Examples illustrating the effect of the argument-transformation are also included in the paper.
The even Chebyshev-polynomials of the second kind - modified with appropriate argument-transforms - were used to describe quasi-hemispherical and calotte-like natural surfaces over a set of discrete points - and via i...
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The even Chebyshev-polynomials of the second kind - modified with appropriate argument-transforms - were used to describe quasi-hemispherical and calotte-like natural surfaces over a set of discrete points - and via interpolation - between these points. The point-set used was selected in a manner that promotes the proper approximation of such surfaces and the numerical implementation of the surface representation algorithm. The representations of such optical surfaces (e.g., the outer surface of the human cornea) in the basis formed by these Chebyshev-polynomials - and by their transformed versions - provide computational alternatives to the Zernike-based description of the optical aberrations caused by such surfaces.
The paper offers the possibility of the design of unknown input detection for dynamic systems under external noise effect. The presented geometric based fundamental problem in residual generation (FPRG) method uses on...
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The paper offers the possibility of the design of unknown input detection for dynamic systems under external noise effect. The presented geometric based fundamental problem in residual generation (FPRG) method uses on the one hand the Kalman filtering and on the other hand the moving horizon estimation (MHE) when stochastic noise on the input and on the output, with additive failure directions, are presents. The paper combines the optimal Kalman and MHE method with geometric based unknown input observer strategy. The MHE solution makes to treat constraints during the estimation process possible. A numerical example supports the necessity of constrained unknown input estimation
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