Numerous controllers have been proposed based on linear Hill's equations for satellite formation control. To date, most of these controllers assumed that the system model is well defined, and the disturbances are ...
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ISBN:
(纸本)0780393953
Numerous controllers have been proposed based on linear Hill's equations for satellite formation control. To date, most of these controllers assumed that the system model is well defined, and the disturbances are small. Previous studies have failed to consider the problem of disturbance rejection. In this paper, H/sub /spl infin// controllers are designed for disturbance attenuation based on linear Hill's equations. The goal is to design a state-feedback control law which minimizes the H/sub /spl infin// norm of transfer function from disturbance to the regulated outputs, which guarantee stable for the closed-loop system. The problem is reduced to a convex optimization involving linear matrix inequalities (LMIs). The proposed robust controllers are evaluated in simulation. The simulation results demonstrate that the proposed controllers are capable of controlling the satellite formation system more precisely than LQR under various perturbations.
In leader-follower formation flying, using the leader's rate of rotation, the follower calculates the target attitude and rate of rotation, which are necessary to relative attitude control. In the process of infor...
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In leader-follower formation flying, using the leader's rate of rotation, the follower calculates the target attitude and rate of rotation, which are necessary to relative attitude control. In the process of information collecting, computing and transmitting, time delay exists that causes information delay. To deal with it, rate and attitude estimators are presented which provide target rate and attitude real time. Then a PID control law for small satellite with reaction wheels is developed based on them. Simulation results show the approach is valid
By the use of the properties of ergodicity, a chaos algorithm for multilayer feedforward neural network is proposed with combining logistic mapping and BP algorithm. This algorithm can make BP algorithm to skip the lo...
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By the use of the properties of ergodicity, a chaos algorithm for multilayer feedforward neural network is proposed with combining logistic mapping and BP algorithm. This algorithm can make BP algorithm to skip the local minimum and can find the global minimum finally.
Phase tracking problem is not especially considered in classical quantitative feedback theory (QFT). A modified one-degree-of-freedom QFT technique which is suitable for both magnitude and phase tracking performance i...
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ISBN:
(纸本)0780393953
Phase tracking problem is not especially considered in classical quantitative feedback theory (QFT). A modified one-degree-of-freedom QFT technique which is suitable for both magnitude and phase tracking performance index is proposed to synthesize three-axis hydraulic simulator controller. The proposed method transform uncertain plant tracking performance index into sensitivity constraint and nominal plant tracking error constraint. The former constraint form into QFT sensitivity bounds and the latter one can be founded on Nichols chart directly. Because of omitting pre-filter of classical two-degree-of-freedom QFT control structure, ramp tracking performance index is also enhanced greatly. The modified QFT technique's efficacy is validated by simulation results.
A novel segmentation scheme for noisy image is proposed. According to the analysis of wavelet denoising method and multiscale geometric analysis techniques, an improved wavelet denoising algorithm combined with multis...
This paper deals with the robust stabilization for a class of linear Delta-operator formulated uncertain systems with state delays and jumping parameters. The transition of the jumping parameters in systems is governe...
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This paper deals with the robust stabilization for a class of linear Delta-operator formulated uncertain systems with state delays and jumping parameters. The transition of the jumping parameters in systems is governed by a finite-state Markov process. The class of systems is a hybrid class of systems with two components in the vector state. The first component refers to the mode and the second one to the state. The mode is described by a continuous Markov process with finite state space. The state in each mode is denoted by a stochastic differential equation. Based on stability theory in stochastic differential equations, a sufficient condition on the existence of robust stabilizing control law is derived. Based on this condition, a robust memoryless stabilizing control law is designed in terms of a set of linear matrix inequalities. A numerical example demonstrates the effect of the proposed design approach
In this paper, we consider a class of optimal piecewise state feedback control problems. For this optimal control problem, the time horizon is divided into N subintervals with the end points of each subinterval being ...
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In this paper, we consider a class of optimal piecewise state feedback control problems. For this optimal control problem, the time horizon is divided into N subintervals with the end points of each subinterval being referred to as switching times. The control is given by a piecewise state feedback form, where different feedback gain matrices are allowed for different subintervals. Both the switching instants and the feedback gain matrices on the corresponding subintervals are decision variables to be determined such that a given cost functional is minimized. Our approach is to use a time scaling transform to convert this optimal piecewise state feedback control problem into an equivalent optimal parameter selection problem, where the varying time points are being mapped into fixed time points. Then the gradient formulae of the cost functional are derived. On this basis, the equivalent transformed optimal parameter selection problem can be solved as a nonlinear optimization problem. An illustrative example is solved using the proposed method
This paper deals with the robust stabilizability and H infin disturbance attenuation for a class of uncertain descriptor time-delay systems with jumping parameters. The transition of the jumping parameters in the sys...
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This paper deals with the robust stabilizability and H infin disturbance attenuation for a class of uncertain descriptor time-delay systems with jumping parameters. The transition of the jumping parameters in the systems is governed by a finite-state Markov process. A sufficient condition on robust stabilizability is established based on the stability theory for stochastic differential equations. With the help of a set of coupled linear matrix inequalities, robust H infin controllers are designed to stochastically stabilize the given systems with a prescribed disturbance attenuation level represented by an H infin norm bound constraint. A numerical example demonstrates the effect of the proposed design approach
After the relative motion coordinate frame is defined,linear equations of relative motion described by small orbital element bias are developed with respect to it. And then the differential expressions of relative pos...
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After the relative motion coordinate frame is defined,linear equations of relative motion described by small orbital element bias are developed with respect to it. And then the differential expressions of relative position drifts due to J2 perturbation are established. Integrating them along the orbit,the drifts without effects of true anomaly are obtained. A cost function denoting the magnitude of drifts is selected. The optimal solution to the function is the optimal correction of semi-major. The calculating formula is available. Numerical simulations are employed to check the fidelity of the *** of illustrations show that the approach has more advantages in reducing the relative position drifts and better shape the relative orbit.
Some problems associated with building map in confined environments for mobile robots are studied in this work. The uncertainties arising from specular reflection of ultrasonic sensors cannot make mobile robots recogn...
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Some problems associated with building map in confined environments for mobile robots are studied in this work. The uncertainties arising from specular reflection of ultrasonic sensors cannot make mobile robots recognize their surrounding environments correctly when mobile robots navigate in a confined environment. If the environment is known and unchanged, its map can be built with ultrasonic sensors in advance before navigation is performed. This map can provide reliable information about the environment when mobile robots work. A multi-layer fusion algorithm is proposed for building the map in advance. For the situation that the environment is unknown or variable, an adaptive ultrasonic sensor model is applied to build map dynamically. The experiment results indicate that the above fusion algorithms improve the performance of ultrasonic sensors
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