This paper describes a research work which is currently in progress on the controlsystem design of the nuclear steelmaking process now under research and development in Japan. The computer aided design program packag...
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This paper describes a research work which is currently in progress on the controlsystem design of the nuclear steelmaking process now under research and development in Japan. The computer aided design program package, based on the state-space approarch, has been developed. The nonlinear mathematical models of the subsystems have been built by physicochemical principles, and they are linearized by another program package. The validity of the design procedure is illustrated by an example of the controlsystem of the primary helium loop which is one of the subsystems of the *** performance of the controlsystem is tested by nonlinear dynamic simulations.
Flatness controlsystem with a water jet type flatness sensor has been developed for the practical use in a hot strip mill. This system consists of setup control and automatic flatness control. In setup control, adapt...
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Flatness controlsystem with a water jet type flatness sensor has been developed for the practical use in a hot strip mill. This system consists of setup control and automatic flatness control. In setup control, adaptive Modification of mathematical models is made by signals from flatness sensor and crown meter. Automatic flatness control has two functions: feedback control with P-I action and feedforward control with process model to predict flatness variation in the coil. The controlsystem is put into the existing control complex of hot strip mill and begin to operate synthetically with gauge control, crown control, temperature control, and so on.
The structure of an Intelligent Multiactuator system (IMS) is discussed which is determined as a system with redundancies, where the choice between concurring alternatives appears at a definite stage as a regular proc...
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The structure of an Intelligent Multiactuator system (IMS) is discussed which is determined as a system with redundancies, where the choice between concurring alternatives appears at a definite stage as a regular procedure of system operation. The structure of the IMS is considered as a product of four hierarchies: targets, memories, propensities, and impacts. The optimum behavior is determined by anthropomorphic heuristics at the levels of planning and navigation. The optimum control of subsystems is computed at the lowest level of intelligence. The structures of optimum control are recommended which imply the online performance only for a limited amount of procedures.
A novel decentralized control method of a Large scale power system is proposed. The whole system has been divided into some generator sub-systems. The interferences on the sub-system are treated as unknown disturbance...
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A novel decentralized control method of a Large scale power system is proposed. The whole system has been divided into some generator sub-systems. The interferences on the sub-system are treated as unknown disturbances. Any sub-system can be decoupled from the other ones by means of the fast feedforward compensation based on the estimated disturbances obtained by the disturbance observer. This compensation allows us to design the small-scale decentralized controller. This design method has the advantage that the controller is invariant even when the external power system's structure changes. Finally, the effectiveness of the proposed method is confirmed by numerical simulations.
This paper reviews existing techniques for calculating dynamic loads for flexible airplanes and presents a new technique. The new technique involves the summation-of-forces method of writing dynamic loads equations. U...
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This paper reviews existing techniques for calculating dynamic loads for flexible airplanes and presents a new technique. The new technique involves the summation-of-forces method of writing dynamic loads equations. Until now, this form of the dynamic loads equations has been formulated in the frequency domain. The new technique uses s-plane approximation methods (previously applied only to the equations of motion) to transform the dynamic loads equations from a second-order frequency domain formulation with frequency-dependent coefficients into a linear-time-invariant state-space formulation. Several numerical examples demonstrate the usefulness of the new technique and the high quality of the results. In addition, a convergence investigation establishes that the summation-of-forces method converges more quickly (that is, with fewer modes) than does the mode displacement method.
This paper presents robust control synthesis techniques for uncertain dynamical systems subject to structured parameter perturbation. Both classical and H infinity control synthesis techniques are investigated. Most H...
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This paper presents robust control synthesis techniques for uncertain dynamical systems subject to structured parameter perturbation. Both classical and H infinity control synthesis techniques are investigated. Most H infinity-related control techniques are not directly concerned with the structured parameter perturbation. In this paper, however, a new way of incorporating the parameter uncertainty in the robust H infinity control design is explored. A generic model of uncertain dynamical systems is used to illustrate the design methodologies developed in this paper. It is shown that, for a certain class of noncollocated structural control problems, use of either technique results in non-minimum-phase compensation.
The problem of achieving a controlsystem design that produces the tracking of command inputs and the decoupling of outputs of high-gain multivariable control systems is considered. The tracking requirements and the c...
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The problem of achieving a controlsystem design that produces the tracking of command inputs and the decoupling of outputs of high-gain multivariable control systems is considered. The tracking requirements and the conditions under which the decoupling of outputs is possible are given. A procedure for selecting the design parameters is described. A new synthesis procedure for decoupling is described. The procedure is illustrated through numerical examples for several fighter aircraft performing a number of maneuvers.
This paper proposes a simultaneous robust decoupled output feedback control approach for multivariate industrial processes with parameter uncertainties. Based on the desired control performance indicators, the expecte...
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This paper proposes a simultaneous robust decoupled output feedback control approach for multivariate industrial processes with parameter uncertainties. Based on the desired control performance indicators, the expected transfer function of the closed-loop multivariate system is configured as a nonsingular diagonal matrix. Using coprime factorization theory, the weighting functions are selected and the parameterization matrix and controller are designed and calculated to achieve simultaneous robust decoupled control that takes into consideration parameter uncertainties. The performance and effectiveness of the proposed approach is demonstrated using a case study based on the crown-thickness controlsystem of the hot strip mill processes.
A linear-quardratic-regulator method for frequency-dependent weighting matrices is applied to the design of a feedback controlsystem such that a specified level of disturbance attenuation can be achieved while the st...
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A linear-quardratic-regulator method for frequency-dependent weighting matrices is applied to the design of a feedback controlsystem such that a specified level of disturbance attenuation can be achieved while the stability of the system is ensured. Some inequalities relating the frequency-dependent weighting matrices to the return-difference matrix of the system are derived. They provide a straightforward design method for the return-difference matrix or, equivalently, the disturbance attenuation property. The result is applied to the design of an aircraft gust-alleviation system.
In this article, an improved method for eigenvalue assignment via state feedback in the linear time-invariant multivariablesystems is proposed. This method is based on elementary similarity operations, and involves m...
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In this article, an improved method for eigenvalue assignment via state feedback in the linear time-invariant multivariablesystems is proposed. This method is based on elementary similarity operations, and involves mainly utilisation of vector companion forms, and thus is very simple and easy to implement on a digital computer. In addition to the controllable systems, the proposed method can be applied for the stabilisable ones and also systems with linearly dependent inputs. Moreover, two types of state-feedback gain matrices can be achieved by this method: (1) the numerical one, which is unique, and (2) the parametric one, in which its parameters are determined in order to achieve a gain matrix with minimum Frobenius norm. The numerical examples are presented to demonstrate the advantages of the proposed method.
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