State observation of distributed parameter systems pose the problem of coping with the infinite state dimension of the process models. In addition to this difficulty, the dynamics of Simulated Moving Bed (SMB) process...
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State observation of distributed parameter systems pose the problem of coping with the infinite state dimension of the process models. In addition to this difficulty, the dynamics of Simulated Moving Bed (SMB) processes is described by partial differential equations which are governed by switching initial conditions or switching boundary conditions, respectively. Furthermore, due to the setup of SMB plants only limited measurement information of the process behaviour is available. To overcome these difficulties, a model of the wave fronts of the SMB concentration profiles is derived which comprises a linear time-variant discrete-time state-space model describing the form, position and propagation of the wave fronts. A new approach to the solution of the state observation problem is proposed which is based on this model. Simulations of a closed-loop controlled SMB process are presented to show the applicability of the developed observer in the surrounding of the stationary operating point.
This paper describes the principles of an intelligent automaton for controlling the secondary stage of a wastewater treatment plant. The automaton has been implemented as a finite state machine that can be integrated ...
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This paper describes the principles of an intelligent automaton for controlling the secondary stage of a wastewater treatment plant. The automaton has been implemented as a finite state machine that can be integrated into the existing supervisory control and data acquisition system of any wastewater treatment plant. Human knowledge, in the form of linguistic rules, is embedded in the automaton, which has been shown to be capable of controlling the process very satisfactorily in all but extreme conditions.
When control loops incorporate fieldbus systems, typical quality of service parameters like delay and jitter play an important role with respect to the performance of the control. Traditionally, the desired quality of...
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In this paper a combined control structure with an active antiroll bar control and an active braking control is developed to decrease the rollover risk of heavy vehicles. This control structure also results in a fault...
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In this paper a combined control structure with an active antiroll bar control and an active braking control is developed to decrease the rollover risk of heavy vehicles. This control structure also results in a fault-tolerant system since in case of a failure an adequate tuning of the control mechanism guarantees the roll stability. The control design is based on LPV model of the vehicle in which the forward velocity and the lateral load transfer at the rear are selected as scheduling parameters. In the actual controlled system, the compensator also uses the output of a fault detection filter. The operation of the control mechanism is demonstrated in a double lane change maneuver
A control systems engineering approach, employing a two-level overall system architecture and different but compatible formalisms for system representation on the upper and lower levels, has been investigated in detai...
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作者:
万雄高益庆汪元美Institute of Automation of Nanjing University of Aeronautics and Astronautics
Nanjing 210016 Department of Test and Control Engineering Nanchang Institute of Aeronautical Technology Nanchang 330034 Department of Test and Control Engineering
Nanchang Institute of Aeronautical Technology Nanchang 330034 Department of Test and Control Engineering
Nanchang Institute of Aeronautical Technology Nanchang 330034 novel 3-D temperature field reconstruction method is proposed in this paper which is based on multi-wavelength thermometry and Hopfield neural network computed tomography. A mathematical model of multi-wavelength thermometry is founded and a neural network algorithm based on multiobjective optimization is developed. Through computer simulation and comparison with the algebraic reconstruction technique (ART) and the filter back-projection algorithm (FBP) the reconstruction result of the new method is discussed in detail. The study shows that the new method always gives the best reconstruction results. At last temperature distribution of a section of four peaks candle flame is reconstructed with this novel method.
A novel 3-D temperature field reconstruction method is proposed in this paper, which is based on multi-wavelength thermometry and Hopfield neural network computed tomography. A mathematical model of multi-wavelength t...
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A novel 3-D temperature field reconstruction method is proposed in this paper, which is based on multi-wavelength thermometry and Hopfield neural network computed tomography. A mathematical model of multi-wavelength thermometry is founded, and a neural network algorithm based on multiobjective optimization is developed. Through computer simulation and comparison with the algebraic reconstruction technique (ART) and the filter back-projection algorithm (FBP), the reconstruction result of the new method is discussed in detail. The study shows that the new method always gives the best reconstruction results. At last, temperature distribution of a section of four peaks candle flame is reconstructed with this novel method.
In this paper the Fault Detection and Identification (FDI) filter which identifies the different actuator and sensor failures is designed. The FDI filter design is based on the weighted H ∞ filtering. It uses the Lin...
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In this paper the Fault Detection and Identification (FDI) filter which identifies the different actuator and sensor failures is designed. The FDI filter design is based on the weighted H ∞ filtering. It uses the Linear Parameter Varying (LPV) model of the vehicle, in which the forward velocity is selected as a scheduling parameter. The LPV based FDI filter design is demonstrated in varies vehicle manoeuvres.
This paper presents the concept and practical realization of the testing methodology of safety-critical supervisory systems. The test concept utilizes the highly redundant nature of these systems to conduct test durin...
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This paper presents the concept and practical realization of the testing methodology of safety-critical supervisory systems. The test concept utilizes the highly redundant nature of these systems to conduct test during the normal operation of the monitored process. The described principles have been implemented in the form of microcomputer-based test systems.
When control loops incorporate fieldbus systems, typical quality of service parameters like delay and jitter play an important role with respect to the performance of the control. Traditionally, the desired quality of...
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When control loops incorporate fieldbus systems, typical quality of service parameters like delay and jitter play an important role with respect to the performance of the control. Traditionally, the desired quality of the control defined the constraints for the network. Today, it is desirable to use existing networks and make the control robust enough to cope with the deficiencies of the fieldbus. This paper investigates the influence of a network with bounded delay distribution on the performance of a discrete time control loop. We find that delays of about the sampling period give rise to a particularly sensitive behavior of the controller. Furthermore, the overshoot amplitude (as a quality indicator) seems to depend linearly on the delay distribution of the network, which offers a convenient design criterion for the controller.
Traditional approaches to controller designs that guarantee fast compensation of load torque and reference variations result in design iterations and most of the time in poorer response for load torque variations. In ...
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Traditional approaches to controller designs that guarantee fast compensation of load torque and reference variations result in design iterations and most of the time in poorer response for load torque variations. In this paper a reference model for desired drive behavior generation and optimization methods has been applied to achieve controller integral time constant lower than the maximum time constant of the PM brushless DC motor drive. Presented simulation results show that using reference model for desired drive behavior generation, it is possible to determine optimal controller parameters for faster (10 time) and better (2 time) load torque compensation than in the case of traditional design of speed controller parameters. Response due to reference input with constrained overshoot has been achieved using a filter in the servosystem input. Thereby, the proposed method demonstrates the design of a speed controller that is optimal for both load torque and reference variations and its verification with simulation are accomplished for a permanent magnet brushless dc motor drive.
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