The terminal guidance problem for missile intercepting maneuvering targets is investigated in this paper. To guarantee the disturbance rejection performance and alleviate the chattering problem, nonsingular terminal s...
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The terminal guidance problem for missile intercepting maneuvering targets is investigated in this paper. To guarantee the disturbance rejection performance and alleviate the chattering problem, nonsingular terminal sliding mode control(NTSMC) and finite-time disturbance observer(FTDO) are introduced to design the composite guidance law considering the first-order autopilot dynamics. In this paper, the target acceleration and some state variables are regarded as unknown bounded disturbances. Finite-time disturbance observer(FTDO) is employed to estimate the disturbances and estimations of disturbances are employed as feedforward compensation to weaken the influence of disturbances. The proposed guidance law can guarantee that the line of sight(LOS) angular rate converges to zero in finite time. Simulation comparisons show the effectiveness of the proposed method.
This paper investigates the problem of sensitivity analysis for switched autonomous systems involving uncertain parameters. The aim is to find switching instants which minimizes the cost function, and meanwhile makes ...
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ISBN:
(纸本)9781479937097
This paper investigates the problem of sensitivity analysis for switched autonomous systems involving uncertain parameters. The aim is to find switching instants which minimizes the cost function, and meanwhile makes it robust to the variation of the original objective with respect to unknown parameters. We focus on the fixed switching mode sequences and convert the sensitivity problem into a conventional optimal switched control problem, which can be solved directly using the gradient descent algorithm. The efficacy of the proposed method is illustrated via numerical example.
Current paint deposition modeling approaches did not consider the influence of variable spraying parameters. As spray painting robot has been widely used in paint application, there is a great need to be able to gener...
Current paint deposition modeling approaches did not consider the influence of variable spraying parameters. As spray painting robot has been widely used in paint application, there is a great need to be able to generate paint deposition model efficiently for robot path planning and simulation. In this paper, a layered framework for paint deposition modeling system is proposed, which uses the Back-Propagation(BP) neural network to model the relationship between spraying parameters(flow rate and atomizing pressure) and the paint deposition model. By using this modeling system, it isn’t necessary for users to conduct extra experiments when flow rate and atomizing pressure change. According to results of experiment and simulation, this method can predict paint deposition rate effectively.
The problem of fault-tolerant control is discussed for the longitudinal model of an airbreathing hypersonic vehicle (AHV) with actuator faults and external disturbances. Firstly, a fault-tolerant control strategy is...
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The problem of fault-tolerant control is discussed for the longitudinal model of an airbreathing hypersonic vehicle (AHV) with actuator faults and external disturbances. Firstly, a fault-tolerant control strategy is presented for the longitudinal model of an AHV, which guarantees that velocity and altitude track their reference trajectories at an exponential convergence rate. However, this method needs to know the minimum value of the actuator efficiency factor and the upper bound of the external disturbances, which makes it not easy to implement. Then an improved adaptive fault-tolerant control scheme is proposed, where two adaptive laws are employed to estimate the upper bound of the external disturbances and the minimum value of the actuator efficiency factor, respectively. Secondly, the problem of designing a control scheme with control constraints is further considered, and a new adaptive fault-tolerant control strategy with input saturation is designed to guarantee that velocity and altitude track their reference trajectories. Finally, simulation results are given to show the effectiveness of the proposed methods.
In this paper, we show that Euler discretization of the sliding mode control system with twisting algorithm can lead to periodic behaviors. Bounds for periodic orbits are derived, which allow one to estimate the maxim...
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In this paper, we show that Euler discretization of the sliding mode control system with twisting algorithm can lead to periodic behaviors. Bounds for periodic orbits are derived, which allow one to estimate the maximum chattering amplitude for a given value of the time step. It is shown that for certain parameter values, there exist arbitrarily long periodic orbits. Theoretical results are illustrated with simulation examples.
This paper considers the problem of attitude synchronization for a group of flexible spacecraft based on distributed attitude cooperative control strategy. Based on the backstepping design, non-smooth control, and the...
This paper considers the problem of attitude synchronization for a group of flexible spacecraft based on distributed attitude cooperative control strategy. Based on the backstepping design, non-smooth control, and the neighbor-based design rule, a distributed attitude control law is constructed step by step. Under the proposed control law, it is shown that the attitude synchronization is achieved asymptotically and the induced vibration by flexible appendages is simultaneously suppressed.
Finite-time controlsystems usually have better disturbance rejection property and faster convergence performance. For the linearized dynamics of the linear navigation system of an agricultural tractor, a novel contro...
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Tracking law designed for future Mars entry missions is investigated in this article. For precision landing, the nonlinear entry dynamics, complex uncertainties and input saturation constraints are unavoidable problem...
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Tracking law designed for future Mars entry missions is investigated in this article. For precision landing, the nonlinear entry dynamics, complex uncertainties and input saturation constraints are unavoidable problems. Facing these challenges, the Mars entry trajectory tracking scheme via constrained multi-model predictive control (CMPC) is employed. The CMPC is made up of some constrained predictive control (CPC) in different time domain during the Mars entry mission. Each constrained predictive controller consists of a linearized prediction model (obtained by linearizing at different operating point), feedback correction for active model mismatch rejection caused by the complex uncertainties, and constrained rolling optimization for a smooth control input under a saturation constraint. Monte Carlo simulations demonstrate the effectiveness and excellence of the proposed method under the saturation constraint of input and uncertainties of initial state and aerodynamic parameters such as atmospheric density, ballistic coefficient and lift-to-drag ratio.
The local/global Lipschitz continuity is always required when considering the stability of the cascaded systems. Different from the exiting methods proposed in the literature,this paper gives a method to deal with non...
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ISBN:
(纸本)9781479900305
The local/global Lipschitz continuity is always required when considering the stability of the cascaded systems. Different from the exiting methods proposed in the literature,this paper gives a method to deal with non-smooth cascaded *** using iISS property,some sufficient conditions for global asymptotic stability of the cascaded systems are derived. Then,based upon this,an interesting result of finite-time stability for cascaded systems is further *** proposed methods are verified by some academic examples.
Multi-variable systems widely exist in the practical engineeringcontrolsystems whose performances are always severely interrupted by strong disturbances including unmodeled dynamics, parameter variations, couplings ...
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Multi-variable systems widely exist in the practical engineeringcontrolsystems whose performances are always severely interrupted by strong disturbances including unmodeled dynamics, parameter variations, couplings and external disturbances. Disturbance observer (DOB) is known as an effective technique to estimate disturbances and has been extensively applied for feed-forward compensation design in the presence of disturbances. Yet many disturbance observer techniques in previous literature are just used for single-input-single-output (SISO) systems or the DOBs can be applied in the multi-variable systems, but the DOBs are still SISO DOBs. A decoupled robust multi-input-multi-output neural network disturbance observer (MNNDOB) is designed for the multi-input-multi-output (MIMO) systems. Simulation results on the mixing tank show that the proposed method has better disturbance estimation performance when there are severe model mismatches compared with the MIMO linear disturbance observer.
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