In this paper, we address the problem of suggesting corrections to terms that are ill-typed in the Curry System. For this, we convert the term into a set of constraints over type expressions, and use a method due to C...
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The simulation and implementation of a step-down frequency-modulated zero-current switching quasi-resonant converter (FM-ZCS-QRC) fed DC drive are presented. A parallel resonant QRC is used for the speed control of a ...
The simulation and implementation of a step-down frequency-modulated zero-current switching quasi-resonant converter (FM-ZCS-QRC) fed DC drive are presented. A parallel resonant QRC is used for the speed control of a DC motor. The FM-ZCS-QRC-fed DC drive is modelled and simulated. A microprocessor-based prototype system is also implemented for controlling the drive speed and the results predicted by simulation are verified experimentally. It is found that the FM-ZCS-QRC-fed DC drive has several advantages over those fed from phase-controlled converters, DC choppers and PWM converters.
An LQG/H/sub /spl infin// controller synthesis is presented for a flexible one-link manipulator with noncolocated sensing. The challenge of the problem lies in the nonminimum phase characteristics and the ill-conditio...
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An LQG/H/sub /spl infin// controller synthesis is presented for a flexible one-link manipulator with noncolocated sensing. The challenge of the problem lies in the nonminimum phase characteristics and the ill-conditioned nature of the plant. The inner-loop LQG controller provides adequate damping to the flexible modes and numerically conditions the system while the outer-loop H/sub /spl infin// controller provides stability in the face of unstructured perturbation. With only tip position sensing and using a fourth-order model, a controller is synthesized. It is tested with an eighth-order model of the plant and is found to satisfy both performance and stability requirements.
The kinematic and dynamic relationships of a manipulator are highly non-linear. The inverse problem is computationally intensive. In this light, the learning capabilities and parallel computational architecture of neu...
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The kinematic and dynamic relationships of a manipulator are highly non-linear. The inverse problem is computationally intensive. In this light, the learning capabilities and parallel computational architecture of neural networks seem an attractive alternative to current methods of control. A few aspects of this issue are examined.< >
In this paper, quantitative synthesis of a multivariable two-matrix-degree-of-freedom feedback system for a 3/spl times/3 distillation column with sidestreams example having significant plant parameter uncertainty, is...
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In this paper, quantitative synthesis of a multivariable two-matrix-degree-of-freedom feedback system for a 3/spl times/3 distillation column with sidestreams example having significant plant parameter uncertainty, is performed. The synthesis procedure is that of multi-input multi-output (MIMO) quantitative feedback theory (QFT). From the given MIMO problem, equivalent single-loop problems are derived whose solution guarantees the solution of the original problem. Using the basic single-input single-output (SISO) QFT procedure, the single-loop problems are then solved to satisfy the frequency domain specifications on the tracking and disturbance-rejection properties. The design is verified in both frequency and time domains for 81 plants picked randomly from the set of uncertain plants. The results show that the performance specifications are successfully achieved for the range of parameter uncertainty considered.< >
This paper deals with the stabilization of a distributed parameter system based on multilinear box theorem and in which some vertex type of results are possible. The system is modelled using an infinite partial fracti...
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This paper deals with the stabilization of a distributed parameter system based on multilinear box theorem and in which some vertex type of results are possible. The system is modelled using an infinite partial fraction expansion. While the control is designed based on a truncated interval model. The advantages are: one can use well established methods of interval plant techniques like box theorem, vortex point theorem, edge theorem etc; both parametric and non-parametric uncertainty can be taken care of in the realm of vertex type of results; and further it gives freedom of placing the sensors and actuators in a region instead of restricting them to a point, by such methods it is possible to achieve arbitrary low sensitivity if the disturbance is acting anywhere in that region.< >
The possibility of using a discrete quadratic perturbation model for approximating nonlinear plant dynamics in the neighborhood of the operating point is explored in this paper. A method is evolved for computing the m...
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The possibility of using a discrete quadratic perturbation model for approximating nonlinear plant dynamics in the neighborhood of the operating point is explored in this paper. A method is evolved for computing the model coefficients using first and second order sensitivity equations. The proposed model is further used to develop a nonlinear model predictive control algorithm. The performance of the proposed control algorithm is demonstrated by simulating a benchmark CSTR control problem characterized by the change in the sign of the steady state gain in the operating region.
We deal with the design of robust controllers for a linear time invariant uncertain system exhibiting two time scale properties for the entire range of parameter variations. The uncertain system has been decomposed in...
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We deal with the design of robust controllers for a linear time invariant uncertain system exhibiting two time scale properties for the entire range of parameter variations. The uncertain system has been decomposed into slow and fast uncertain subsystems. The stabilizing controllers for the lower order subsystems are designed and a composite controller is obtained from them. This composite controller is shown to stabilize the higher order uncertain system, if applied to it. A numerical example illustrates the procedure.< >
In this paper, multivariable quantitative feedback theory (QFT) techniques are used to synthesize a robust feedback system for an extractive distillation column with a vaporous sidestream. The simplified state space m...
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In this paper, multivariable quantitative feedback theory (QFT) techniques are used to synthesize a robust feedback system for an extractive distillation column with a vaporous sidestream. The simplified state space model of Gilles and Retzbach (1983) for an extractive distillation column exhibiting sharp temperature profiles is adopted here. Large uncertainty of +20% is assumed in three key matrix elements of this model. The feedback design problem is to find the controller and prefilter matrices such that the stated tracking specifications are met, over the entire range of model parametric uncertainty. The fourth MIMO QFT technique of Yaniv and Horowitz (1986) is used to solve the design problem. The design is verified through extensive simulations in both frequency and time domains, for several plants picked from the plant uncertainty set. In all cases, the results obtained are quite satisfactory.< >
We present QFT IIT, a MATLAB toolbox for quantitative feedback theory (QFT)-based synthesis of robust feedback systems. QFT IIT can handle several system classes including linear and nonlinear, single input-output and...
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We present QFT IIT, a MATLAB toolbox for quantitative feedback theory (QFT)-based synthesis of robust feedback systems. QFT IIT can handle several system classes including linear and nonlinear, single input-output and multi input-output, output and internal variable feedback, and linear distributed with distributed or point feedback types. We used QFT IIT to successfully solve a large number of robust control problems at The indianinstitute of technology (IIT) bombay.< >
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