This paper proposes a method to design a servo-controller from the impulse responses, i.e, Markov parameters of MIMO plant without constructing its parametric model like state space representation. We call this the Re...
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This paper proposes a method to design a servo-controller from the impulse responses, i.e, Markov parameters of MIMO plant without constructing its parametric model like state space representation. We call this the Response-Based design method. As an application, this proposed method is used to design a servo-controller for a distillation process, and its efficiency is verified by the plant simulator.
In this paper, the passivity based methods of robot motion control on a trajectory are discussed. Using a control law proposed by Slotine and Li, (1987), the performances of the system in the two cases: the model para...
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In this paper, the passivity based methods of robot motion control on a trajectory are discussed. Using a control law proposed by Slotine and Li, (1987), the performances of the system in the two cases: the model parameters are known and adaptive structure when the parameters are considered unknown are analyzed based on the passivity properties of the system’s substructures. The theoretical results are compared to the results obtained by simulation of a two degrees of freedom robot structure. These results emphasize both the perfect concordance to the theoretical results and the competitiveness of passivity based robot controllers.
The exponential stability of large-scale nonlinear parabolic systems with time-varying delays is studied in this paper using a new generalization of Gronwalrs inequality and Lyapunov theory. The systems are interconne...
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The exponential stability of large-scale nonlinear parabolic systems with time-varying delays is studied in this paper using a new generalization of Gronwalrs inequality and Lyapunov theory. The systems are interconnected by bounded operators, although this can be generalized. All the time-delays will be assumed to have bounded time derivatives for simplicity here.
Model reduction has significant importance in Large-Scale Systems. In this paper one of the main classes of model reduction-aggregation is used and the results of the two different methods are discused and compared fo...
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Model reduction has significant importance in Large-Scale Systems. In this paper one of the main classes of model reduction-aggregation is used and the results of the two different methods are discused and compared for application in Power Systems.
A practical scheme for on-line automatic tuning the existing industrial PID controllers with the assistance of a neural network is developed. A radial basis function (RBF) network have been used to implement the neura...
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A practical scheme for on-line automatic tuning the existing industrial PID controllers with the assistance of a neural network is developed. A radial basis function (RBF) network have been used to implement the neural network PID auto-tuner. A real-time version of the neural network assisted PID auto-tuner has been implemented on a personal computer (PC). Experimental testings on some generic process models, and comparison with some commercial PID auto-tuners shows favourable result on the performance of the developed scheme.
This paper describes a novel approach to the problem of control mode analysis for advanced concept gas turbine aero-engines. Using a multiobjective evolutionary algorithm, candidate control modes are selected and test...
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This paper is concerned with the problem of controlling and synchronizing chaotic systems through an appropriately synthesized adaptive strategy, namely the minimal control synthesis (MCS) algorithm is used to solve t...
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This paper is concerned with the problem of controlling and synchronizing chaotic systems through an appropriately synthesized adaptive strategy, namely the minimal control synthesis (MCS) algorithm is used to solve the stated problem. First, a traditional control strategy is used, which does not rely on any explicit property of chaotic systems, except for the boundedness of chaotic evolution. Next, by assuming the plant to be chaotic, some properties of chaotic systems are exploited to achieve the control, as in the Ott-Grebogi-Yorke (OGY) method (1990). Hence, an adaptive controlengineering approach is merged with the OGY method to control and synchronize chaotic systems.
An approach to the neural network-based feedforward control of a two-stage heat exchange process is presented. When pressure change occurs in the distillation column, the disturbance causes a variation of material bal...
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An approach to the neural network-based feedforward control of a two-stage heat exchange process is presented. When pressure change occurs in the distillation column, the disturbance causes a variation of material balance that produces undesirable material and heat imbalance. The task is fulfilled first by developing a mathematical model in a traditional way, followed by the implementation of a neural network multilayer feedforward-based controller. The dynamics and unsteady state are investigated.
controller design for Flexible Manufacturing Systems (FMS) is addressed within a systems theory-basea framework, which allows the separation of the workcell (comprised of machines and resources to be controlled), and ...
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controller design for Flexible Manufacturing Systems (FMS) is addressed within a systems theory-basea framework, which allows the separation of the workcell (comprised of machines and resources to be controlled), and the controller (consisting of the decision-making scheduler). This point of view is particularly profitable for teaching FMS design to controlengineering students, who are familiar with the feedback control principles. The design algorithm uses standard manufacturing engineering tools to produce a rule-based controller that is described mathematically in terms of matrix equations, yielding the Petri net and max/plus representations of the closed-loop FMS. This matrix approach is exploited to develop a MATLAB software which implements new functions for idempotent calculus in the semiring (R∪{-∞},max,+), and offers a large flexibility in changing the operating conditions and design specifications.
This paper is addressed at the difficulty of accurately modelling a two-flexible-link manipulator system, which is a necessary pre-requisite for future work developing a high-performance controller for such manipulato...
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This paper is addressed at the difficulty of accurately modelling a two-flexible-link manipulator system, which is a necessary pre-requisite for future work developing a high-performance controller for such manipulators. Recent work concerned with the development of an accurate single-flexible-link model is first reviewed and then the expansion of a single-link model into a two-flexible-link system in a way which properly takes into account the coupling and interactions between the two links is discussed. The method of approach taken is to calculate the elastic and rigid motions of the links separately and then to combine these according to the principle of superposition. The application of the model developed is demonstrated in a simulated two-flexible-link system.
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