The paper proposes a measure of robust performance based on frequency domain experimental data that allows non-conservative modeling of uncertainty. Given the nominal model of the plant and closed-loop performance spe...
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The paper proposes a measure of robust performance based on frequency domain experimental data that allows non-conservative modeling of uncertainty. Given the nominal model of the plant and closed-loop performance specifications the iterative control design and remodeling of model uncertainty based on that measure leads to a controller with improved robust performance. The structured dynamic uncertainty is allowed to act on the nominal model in a linear fractional transformation (LFT) form. The proposed method is a modification of the structured singular value with implicit constraints on model consistency. The usefulness of the method is demonstrated on a simulation example.
To improve the performance properties of heavy vehicles, i.e. to reduce the risk of emergencies, improve passenger comfort and road holding, a reconfigurable fault-tolerant control design of the active suspension is p...
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To improve the performance properties of heavy vehicles, i.e. to reduce the risk of emergencies, improve passenger comfort and road holding, a reconfigurable fault-tolerant control design of the active suspension is performed. When a fault (loss in effectiveness) occurs at one of the suspension actuators a reconfiguration is needed in order to maintain the same performance level. The proposed reconfiguration scheme is based on an H infin linear parameter varying (LPV) method that uses the fault information as one of the scheduling variables.
This paper presents the L 2 stability analysis of a networked pressure control system implemented in a nuclear power plant. The theoretical background for the applied modelling, identification, controller design tool...
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This paper presents the L 2 stability analysis of a networked pressure control system implemented in a nuclear power plant. The theoretical background for the applied modelling, identification, controller design tools and for the implementation process is also briefly discussed. To ensure the nominal stability properties of the designed controller in the networked environment the maximum allowable transmit interval (MATI) is computed based on the derived system model and the dynamic inversion based controller equations. This turns out to be sufficiently larger than the actual sampling interval. Simulations show good agreement with the theoretical computation results.
This paper presents the results of the parameter estimation procedure for the primary circuit dynamics of a VVER-type nuclear power plant. The model structure is a low dimensional lumped nonlinear model published prev...
This paper presents the results of the parameter estimation procedure for the primary circuit dynamics of a VVER-type nuclear power plant. The model structure is a low dimensional lumped nonlinear model published previously in Fazekas et al. [2007a]. The parameter estimation method uses the modular decomposition of the system model for obtaining physically meaningful initial parameter estimates. The final parameter estimates are computed using the integrated model.
The paper proposes an interpolation based control method as a possible solution to the constrained H ∞ control of discrete-time, linear parameter varying (LPV) systems. The control policy is constructed by interpola...
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The paper proposes an interpolation based control method as a possible solution to the constrained H ∞ control of discrete-time, linear parameter varying (LPV) systems. The control policy is constructed by interpolating among a priori designed, unconstrained state feedback controllers. The predefined H ∞ performance level remains guaranteed under hard state and input constrains. By applying invariant set theory it is also shown that the domain of applicability of the proposed control method is significantly larger than that can be achieved by any, single state feedback.
The trajectory tracking control of a 6-degree-of- freedom (DOF) rigid robot arm is described in this paper. The trajectories for the joint variables are generated in third-order spline form using general constrained n...
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The trajectory tracking control of a 6-degree-of- freedom (DOF) rigid robot arm is described in this paper. The trajectories for the joint variables are generated in third-order spline form using general constrained nonlinear optimization, taking into consideration the joint position, velocity, acceleration, jerk and overall current consumption constraints during the movement. The trajectory tracking of the individual joints is solved using a discrete-time linear controller design. The obtained trajectories are previously checked to avoid collisions using oriented bounding boxes and their separating axis theorem tests. The complete inverse kinematics of the arm is symbolically calculated in the Mathematica computing environment and implemented in C++. Simulations and measurements show the applicability of the proposed method.
The paper proposes some new methods for traffic controlsystems design. The goal was to find solutions that make possible to give constraints in course of the estimation process of the road traffic parameters and the ...
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The paper proposes some new methods for traffic controlsystems design. The goal was to find solutions that make possible to give constraints in course of the estimation process of the road traffic parameters and the traffic controller system design. The proposed solutions are built on the constrained Moving Horizon Estimation and the Fault Detection Filter technique.
This paper proposes a simple robust model predictive algorithm for discrete time linear parameter varying uncertain systems, which depend nonlinearly on their parameters. The method was derived from the robust MPC alg...
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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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