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.
An integrated controlsystem of active rear wheel steering (4WS) and direct yaw moment control (DYC) is presented in this paper. Because of the tire nonlinearity that is mainly due to the saturation of cornering force...
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An integrated controlsystem of active rear wheel steering (4WS) and direct yaw moment control (DYC) is presented in this paper. Because of the tire nonlinearity that is mainly due to the saturation of cornering forces, vehicle handling performance is improved but limited to a certain extent only by steering control. Direct yaw moment control using braking and/or driving forces is effective not only in linear but also nonlinear ranges of tire friction circle. The proposed controlsystem is a model matching controller which makes the vehicle follow the desired dynamic model by the state feedback of both yaw rate and side slip angle. Various computer simulations are carried out and show that vehicle handling performance is much improved by the integrated controlsystem.
An adaptive genetic algorithm (AGA) coded in a float number vector which can be potentially used to solve the problem of estimation of the interconnection weights in the large scale neural networks is easily implement...
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An adaptive genetic algorithm (AGA) coded in a float number vector which can be potentially used to solve the problem of estimation of the interconnection weights in the large scale neural networks is easily implemented in MATLAB, and a framework of FFN based dynamic system identification using this algorithm is proposed in this paper. In the algorithm, a float number vector representation is used to naturally treat with the multiple parameters in real value and a mechanism of adapting the probability of mutation is introduced in order to avoid the premature convergence. The simulation experiments show that this algorithm outperforms the standard genetic algorithm coded in a binary string (SGA) both in convergent speed and in accuracy. Finally, a FFN-based model of a nonlinear dynamic system is trained by both the SGAs and the AGAs. and the comparative results are given to demonstrate the AGAs’ good performance and efficiency’.
Identification and control for nonlinear dynamic systems still remains a challenging issue. Neural networks based models and controllers have often been effective in representing fields. In this paper, identification ...
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Identification and control for nonlinear dynamic systems still remains a challenging issue. Neural networks based models and controllers have often been effective in representing fields. In this paper, identification capability of radial basis function neural networks (RBFNN) is integrated into nonlinear internal model control to obtain a new control strategy. The model of inverse of the process is identified by training RBFNN. The NIMC controller consists of a model inverse controller and a robustness filter. At last, the simulation results for a continuous stirred tank reactor process demonstrate the advantage of the performance of the new strategy over that of a conventional PID controller.
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.
The application of fuzzy logic controllers to improve power-system damping behaviour has received some attention in the literature during the last few years. The paper presents an approach in which besides speed and i...
The application of fuzzy logic controllers to improve power-system damping behaviour has received some attention in the literature during the last few years. The paper presents an approach in which besides speed and its first derivative, the second derivative is applied to the Fuzzy-set based power-system stabilizer (PSS), so that a three-dimensional space with improved behaviour is formed. The parameters are then optimized by the new searching technique, the genetic algorithm. Excellent digital simulation results are demonstrated for a single machine infinite bus-bar systems.
A survey on applications of control technologies in Japanese industries is made based on the inquiry investigation conducted in 1995 by SICE. To the inquiry investigation, 148 engineers from 110 factories responded an...
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A survey on applications of control technologies in Japanese industries is made based on the inquiry investigation conducted in 1995 by SICE. To the inquiry investigation, 148 engineers from 110 factories responded and gave 148 examples of applications. The survey also makes use of the data of the similar investigation conducted in 1989 by JEMIMA for comparison purpose. Several statistics about characteristics of plants, areas of applications, advantage and disadvantage of each technology, expectations of engineers, etc. are given, which clarifies several features of the future needs for control theory.
Safety of closed-loop drug infusion systems is an issue often raised as a matter of concern. As a result, many closed-loop controlsystems are reported in the literature merely as computer simulation studies and few e...
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Safety of closed-loop drug infusion systems is an issue often raised as a matter of concern. As a result, many closed-loop controlsystems are reported in the literature merely as computer simulation studies and few ever reach the stage of physical realisation and formal clinical evaluation. We address the safety issues involved with such systems by describing the development of a portable closed-loop controlsystem for atracurium-induced muscle relaxation. This is a safety-critical system particularly when applied to brain and eye surgery where movement could have serious deleterious effects. The benefits of closed-loop muscle relaxation in providing stable surgical operating conditions over a wide range of patient sensitivities while infusing the minimum amount of drug makes this a worthwhile aim and serves to demonstrate safety issues which are generally applicable to other closed-loop drug infusion systems. It is hoped that the described methodology will facilitate and encourage the clinical application of closed-loop drug infusion systems so that clinical staff and patients may receive the benefits of closed-loop drug therapy.
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.
This paper discusses a class of uncertain composite systems composed of several similar subsystems interconnected with an external system in a circulant fashion. An effective quadratic stability criterion and a design...
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This paper discusses a class of uncertain composite systems composed of several similar subsystems interconnected with an external system in a circulant fashion. An effective quadratic stability criterion and a design procedure of the quadratic stabilization for such a system are given in terms of some modified subsystems with lower-order. Based on the Riccati-like equation approach, a decentralized control design procedure for the class of systems is presented. As an application, a sufficient condition for solvability of the simultaneous stabilization problem for a collection of linear systems is derived.
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