An anti-disturbance controller which considers the reaction wheel friction dynamic is proposed for spacecraft attitude control system to overcome the deterioration of performance under reaction wheel friction. The dyn...
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ISBN:
(纸本)9781467374439
An anti-disturbance controller which considers the reaction wheel friction dynamic is proposed for spacecraft attitude control system to overcome the deterioration of performance under reaction wheel friction. The dynamic model of the system, including the reaction wheel dynamic and the spacecraft dynamic, is given beforehand. Then in order to counteract the effect of the reaction wheel friction, a sliding mode observer is designed to obtain the friction estimation. Finally a H controller is adopted to attenuate the estimate error and other bounded disturbances, such as the environment disturbance. The simulation on the microsatellite attitude control system demonstrates the correctness and effectiveness of the proposed method.
This paper addresses high-precision Mars entry guidance and control approach via sliding mode control(SMC) and Extended State Observer(ESO). First, differential flatness(DF) approach is applied to the dynamic equation...
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ISBN:
(纸本)9781467374439
This paper addresses high-precision Mars entry guidance and control approach via sliding mode control(SMC) and Extended State Observer(ESO). First, differential flatness(DF) approach is applied to the dynamic equations of the entry *** presented control law requires no information on high uncertainties that are estimated by ESO. Finally, simulation results are presented to demonstrate the effectiveness of the proposed approach.
SU(1,1) dynamical symmetry is of fundamental importance in analyzing unbounded quantum systems in theoretical and applied physics. In this paper, we study the control of generalized coherent states associated with q...
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SU(1,1) dynamical symmetry is of fundamental importance in analyzing unbounded quantum systems in theoretical and applied physics. In this paper, we study the control of generalized coherent states associated with quantum systems with SU(1,1) dynamical symmetry. Based on a pseudo Riemannian metric on the SU(1,1) group, we obtain necessary conditions for minimizing the field fluence of controls that steer the system to the desired final state. Further analyses show that the candidate optimal control solutions can be classified into normal and abnormal extremals. The abnormal extremals can only be constant functions when the control Hamiltonian is non-parabolic, while the normal extremals can be expressed by Weierstrass elliptic functions according to the parabolicity of the control Hamiltonian. As a special case, the optimal control solution that maximally squeezes a generalized coherent state is a sinusoidal field, which is consistent with what is used in the laboratory.
Since most chemical processes exhibit severe nonlinear and time-varying behavior, the control of such processes is challenging. In this paper, we propose data-driven controller design method based on lazy learning for...
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ISBN:
(纸本)9789881563897
Since most chemical processes exhibit severe nonlinear and time-varying behavior, the control of such processes is challenging. In this paper, we propose data-driven controller design method based on lazy learning for chemical processes. Using a lazy learning algorithm, a local valid linear model denoting the current state of system is automatically exacted for adjusting the PID controller parameters based on input/output data. This scheme can adjust the PID parameters in an online manner even if the system has nonlinear properties. The simulation results on the dynamic model of Continuous Stirred Tank Reactor(CSTR) are provided to demonstrate the effectiveness of the proposed new control techniques.
To address large scale industrial processes,a novel Lagrangian scheme is proposed to decompose a refinery scheduling problem with operational transitions in mode switching into a production subproblem and a blending a...
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To address large scale industrial processes,a novel Lagrangian scheme is proposed to decompose a refinery scheduling problem with operational transitions in mode switching into a production subproblem and a blending and delivery *** accelerate the convergence of Lagrange multipliers,some auxiliary constraints are added in the blending and delivery subproblem.A speed-up scheme is presented to increase the efficiency for solving the production *** initialization scheme of Lagrange multipliers and a heuristic algorithm to find feasible solutions are *** results on three cases with different lengths of time horizons and different numbers of orders show that the proposed Lagrangian scheme is effective and efficient.
Gravity gradient measurement satellite is a kind of drag-free satellite and suffers from multiple disturbances in the low earth orbit. So the disturbances estimation and compensation for the drag-free satellite is ver...
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ISBN:
(纸本)9784907764487
Gravity gradient measurement satellite is a kind of drag-free satellite and suffers from multiple disturbances in the low earth orbit. So the disturbances estimation and compensation for the drag-free satellite is very important to improve measurement precision. In this paper, the characteristics of multiple disturbances are analyzed. Then, the frequency domain disturbance observer is designed for disturbance estimation and compensation. Next, a composite controller combining the frequency domain disturbance observer with PID controller is presented to reject and attenuate the multiple disturbances. At last, the simulation verification is carried out to verify the effectiveness of the proposed method.
Nonlinear Model Predictive control (NMPC) employs a plant model to compute a sequence of optimal control inputs for a finite horizon. As, in reality, there always exists a plant-model mismatch and not all states of th...
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Nonlinear Model Predictive control (NMPC) employs a plant model to compute a sequence of optimal control inputs for a finite horizon. As, in reality, there always exists a plant-model mismatch and not all states of the plant can be measured, the NMPC scheme must be robust to plant uncertainties and to estimation errors. Different robust NMPC strategies have been proposed to deal with these uncertainties. Among them, a multi-stage NMPC, which is based upon a scenario tree of future plant evolutions, is less conservative compared to worst-case open-loop approaches because the presence of feedback at future sampling instants is explicitly considered. In multi-stage output feedback NMPC, additional scenarios are created by sampling the innovations that are used to estimate the future states of the plant along the scenario tree. In this paper, we refine our previously published approach to include state estimation errors. Moreover we extend the scheme to guarantee robust constraint satisfaction by calculating reachable sets using Taylor models. The method is demonstrated for a nonlinear chemical process example.
Gravity gradient measurement satellite is a kind of drag-free satellite and suffers from multiple disturbances in the low earth orbit. So the disturbances estimation and compensation for the drag-free satellite is ver...
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The landing accuracy of a Mars lander is severely affected by a wide range of disturbances at the powered descent stage. To address this problem, a composite guidance law is proposed in this paper. The composite guida...
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ISBN:
(纸本)9781467374439
The landing accuracy of a Mars lander is severely affected by a wide range of disturbances at the powered descent stage. To address this problem, a composite guidance law is proposed in this paper. The composite guidance law is developed by the combination of disturbance observer-based control(DOBC) technique and multiple sliding surfaces guidance(MSSG)theory. Compared with other guidance laws, the proposed method achieves promising disturbance rejection performance and high landing accuracy in both position and velocity, reducing the conservatism to a certain extent. The proposed guidance law does not require any off-line trajectory generation and its global stability is verified by using Lyapunov direct method. Simulation results show that the proposed guidance law is superior to the conventional guidance laws in terms of both disturbance rejection and landing accuracy.
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