This paper extends former results about the networked reference tracking control of a pressurizer in a pressurized water nuclear power plant. An L2-gain based method is used in a deterministic framework to compute the...
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This paper extends former results about the networked reference tracking control of a pressurizer in a pressurized water nuclear power plant. An L2-gain based method is used in a deterministic framework to compute the maximum allowable transmit intervals (MATIs) for the actually implemented dynamic inversion based controller that still guarantee the required performance. Furthermore, a stochastic linear quadratic regulator with a state estimator is also designed that can take packet losses into consideration. It is shown through the comparison that both methods are applicable for networked control but the LQ controller combined with a Kalman filter has better output variance properties.
The paper proposes a measure of robust performance based on frequency domain experimental data that allows nonconservative modeling of uncertainty. Given the nominal model of the plant and closed-loop performance spec...
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In this paper, a model predictive controller is developed for controlling the main primary circuit dynamics of pressurized water nuclear power plants during load-change transients. The hybrid model of the plant is suc...
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This paper is devoted to the construction of wavelet-type transforms with the purpose to represent functions belonging to the Hardy-space H 2 . The concept of the affine wavelet-transform defined in the space L 2 is e...
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This paper is devoted to the construction of wavelet-type transforms with the purpose to represent functions belonging to the Hardy-space H 2 . The concept of the affine wavelet-transform defined in the space L 2 is extended to the Hardy space H 2 on the basis of the Blaschke group. A discrete hyperbolic wavelet scheme is also constructed that results in computable forms. The wavelet construction obtained possesses good localization properties with respect to functions in H 2 , hence forms an adequate tool for signal and system identification purposes.
The paper presents an alternative formulation of the interpolation based constrained H∞ control presented originally in [16], [12], [17]. The concept itself has not been changed: by interpolating among unconstrained ...
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In this paper a decentralized approach to state estimation of distributed dynamical systems over unreliable communication network subject to uncertain and limited measurements is addressed. Specifically, a distributed...
In this paper a decentralized approach to state estimation of distributed dynamical systems over unreliable communication network subject to uncertain and limited measurements is addressed. Specifically, a distributed filtering concept for enhancing the estimation accuracy of vehicles state from uncertain position data in ad-hoc vehicle networks is presented. The filter relies on a variety of position measurements obtained from the on-board vehicle positioning system, from other nearby cooperating vehicles, as well as from the immediate roadside environment via communication. Direct distance measurements between vehicles as well as between vehicles and the static elements of the roadside infrastructure can be used, if available, as highly accurate reference measurements. The paper demonstrates how successfully the idea of cooperative filtering in addressing the demands of both sensor fault tolerance and enhanced estimation accuracy in distributed systems over ad-hoc communication networks can be used.
The paper characterizes the properties of discrete time minimax tracking control problem in the case of time varying references and disturbances. Hereunder, a multi step tracking control synthesis is suggested for lin...
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The paper characterizes the properties of discrete time minimax tracking control problem in the case of time varying references and disturbances. Hereunder, a multi step tracking control synthesis is suggested for linear time invariant (LTI) plants when the reference signal could be time dependent. Moreover, instead of directly rejecting the effect of the (time varying) disturbance signal, an intermediate estimation and centering step is proposed. This step eliminates the main part of the disturbance by its unbiased estimate. The solution combines the state and disturbance estimation with linear quadratic and optimal minimax tracking design. The resulted unified control solution is LQ optimal on infinite horizon with constant references and disturbances and sub-optimal on large horizons with time-varying references and disturbances. The paper clarify the effect of the time varying signals on the stability and performance criteria. The multi step procedure is illustrated via an ascending spiral trajectory tracking simulation of a quadrotor helicopter.
A 6-degree-of-freedom rigid robot arm and its throwing motion generation is described in this paper. The trajectories for the joint variables are generated off-line as a cubic spline obtained using general constrained...
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A 6-degree-of-freedom rigid robot arm and its throwing motion generation is described in this paper. The trajectories for the joint variables are generated off-line as a cubic spline obtained using general constrained nonlinear optimization, taking into consideration limitations (position, speed, acceleration and jerk) of the joint actuators, and the current limit of the whole structure. The obtained trajectories are previously checked to avoid collisions using oriented bounding boxes and their separating axis theorem tests. The trajectory tracking of the individual joint is done using a discrete-time constrained optimal control technique.
In [1] a new solution is given for the discrete time, LQ optimal, infinite horizon output tracking problem. It applies one step preview of the reference signal originally, but for smooth references it can be used with...
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ISBN:
(纸本)9789633130117
In [1] a new solution is given for the discrete time, LQ optimal, infinite horizon output tracking problem. It applies one step preview of the reference signal originally, but for smooth references it can be used with extrapolation. The properties of the tracker for constant reference signals are examined and an application is presented which uses time varying (ramp) references also in [1]. The tracking error is satisfactorily small for both constant and ramp signals (using either preview or extrapolation). So, the need to examine the properties for time varying references directly arises. This article examines these properties for ramp-type, bounded (l∞), l1 and l2 signals. 1. For ramp-type signals the existence of finite tracking error is examined and proven. 2. For bounded inputs, the boundedness of controlled system states, outputs and tracking error are proven. This means BIBO stability of the controlled system. 3. For l1 and l2 signals the l1 and l2 stability of system states, outputs and tracking error are proven. Results were derived with both one step preview and extrapolation. Here, only the results with extrapolation are published because this is the useful case. Simulations with a simple system are done to compare the derived finite upper bounds (for states, outputs and tracking error) with simulation results. All these results prove that the suggested method is useful in trajectory tracking control, but unfortunately its optimality was lost during the derivation. So, in the form given in [1] it is not LQ optimal even for constant references. This means that it should be further developed to achieve optimality.
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