作者:
Edmunds, JMUMIST
Control Syst Ctr Manchester M60 1QD Lancs England
The scaling of the input and output units has very significant effects for multivariable systems. It affects interaction, design aims, weighting functions, model order reduction, etc. The paper presents a scaling algo...
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The scaling of the input and output units has very significant effects for multivariable systems. It affects interaction, design aims, weighting functions, model order reduction, etc. The paper presents a scaling algorithm to balance the input and output units of square systems, This algorithm is independent of the order of the inputs and outputs and ensures that the row and column dominances are balanced for any choice of input-output pairs. It also maximises the geometric mean of the row and column dominance ratios. A second algorithm is then used to reorder the inputs and outputs to help obtain diagonal dominance. A third algorithm is used to obtain block diagonal dominance in large-scale systems enabling the use of simpler control structures. These algorithms can be used for dynamic multivariable system control, and can also be used for large scale systems, to divide them into sets of multivariable systems.
The authors describe how novel sensors and control algorithmsembedded in today's domestic appliances make them smart enough toestimate the size and dirtiness of a load of clothes tossed in a washeror to determine ...
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The authors describe how novel sensors and control algorithmsembedded in today's domestic appliances make them smart enough toestimate the size and dirtiness of a load of clothes tossed in a washeror to determine whether water in a pot on the stove is boiling. Theyargue that, as semiconductor costs come down, such appliances will geteven smarter
The accuracy of precision machining operations could be improved through tool force feedback. Tool force is ideally suited for use in a control algorithm because it contains information on the instantaneous depth of c...
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The accuracy of precision machining operations could be improved through tool force feedback. Tool force is ideally suited for use in a control algorithm because it contains information on the instantaneous depth of cut, feed rare and condition of the tool. A tool force model that could form the basis of this new control technique has been developed. By measuring the shear angle from micrographs of chip cross sections, equations for the forces due to chip formation and the friction between the chip and the tool have been written. Furthermore, the effects of elastic deformation of the workpiece (spring back) on chip formation and the measured forces, which can be significant in precision machining have been included in the model. Machining experiments were conducted with a 0 deg rake diamond tool and four metals that are commonly diamond turned. For machining with newly lapped as well as worn tools, the calculated forces were in excellent agreement with the measured values for the array of workpiece materials.
The requirements for hardware implementation of complex linear time-invariant controllers are addressed. This includes the basic formulation of the equations and their associated numerical properties. Hardware archite...
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The requirements for hardware implementation of complex linear time-invariant controllers are addressed. This includes the basic formulation of the equations and their associated numerical properties. Hardware architectures which are directly targeted to these formulations are designed, and their performance is compared with a conventional digital signal processor for a relatively high-end controller task. (C) 1998 Published by Elsevier Science Ltd. All rights reserved.
A virtual-environment-based testbed offers an alternative to difficult, costly, and possibly hazardous real-time testing and evaluation of control algorithms for autonomous underwater vehicles (AUVs). Various methods ...
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A virtual-environment-based testbed offers an alternative to difficult, costly, and possibly hazardous real-time testing and evaluation of control algorithms for autonomous underwater vehicles (AUVs). Various methods are used in the testbed to model the vehicle and its environment. Pertinent control algorithms are integrated with the testbed through sensor and control interfaces. A review of selected virtual environment testbeds and related standards is provided. Some implementation issues and results are discussed. A path-planning algorithm is described to illustrate this approach. (C) 1998 Published by Elsevier Science Ltd. All rights reserved.
Greenhouse control computers are an essential part of modem greenhouse operation. Climate, irrigation and nutrient supply must be controlled, in an economically way, to produce the best crop conditions. Current resear...
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Greenhouse control computers are an essential part of modem greenhouse operation. Climate, irrigation and nutrient supply must be controlled, in an economically way, to produce the best crop conditions. Current research on CO 2 enrichment and optimal growth strategies implies the use of powerful tools, either based on hardware or software. This paper describes the implementation of a distributed data acquisition and control system for computerised agricultural management systems. To accomplish with the emergent and future tendencies in this area the network uses different communications platforms to achieve low-cost, flexibility, and functionality. The techniques and tools, that provide to the user a transparent, friendly and intuitive Graphical User Interface will be also presented.
A case-study evaluation of a Wiener model based nonlinear predictive control method is presented. The approach makes use of Wiener model identification and does not require first-principles modelling. It was tested on...
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A case-study evaluation of a Wiener model based nonlinear predictive control method is presented. The approach makes use of Wiener model identification and does not require first-principles modelling. It was tested on a simulated model of a pH neutralisation process that was reconstructed from the literature. The obtained results are better than those resulting from the original physical model based nonlinear control and also of an artificial neural network (ANN) based approach. The performance is excellent also in the case of a considerable plant-to-model mismatch. There is a clear relation to the underlying linear model based method in a form of gain scheduling, so that the properties of the nonlinear control system can be analysed from the comprehensible linear control aspect. The method combines advantages of linear model based predictive control and gain scheduling while retaining a moderate level of computational complexity, thus it can be applied as the first next step in cases where performance of linear control is unsatisfactory due to process nonlinearity.
The goal of this paper is to define a reference trajectory for the running of a biped with feet. The running is composed of fly and single support phases. In a first stage, ballistic motion and impulsive control perfo...
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The goal of this paper is to define a reference trajectory for the running of a biped with feet. The running is composed of fly and single support phases. In a first stage, ballistic motion and impulsive control perform a cyclic reference trajectory. Then this initial reference trajectory is smoothly changed into a trajectory feasible with finite torques and respecting the physical constraints on ground reaction forces. During fly the global motion of the biped is only defined by its initial state and the gravity effect.
In this paper we outline an approach to the application of Formal Methods to the development of aircraft engine control software. We outline the difficulties in applying traditional formalisms to control software and ...
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In this paper we outline an approach to the application of Formal Methods to the development of aircraft engine control software. We outline the difficulties in applying traditional formalisms to control software and propose an approach in which the discrete requirements are specified as aggregations of state-based and reactive requirements; the particular value of (formally) aggregating requirements is that assumptions are discharged in their context or else propagated outward toward the sensory environment. We briefly discuss extensions of the approach to distributed engine control and avionics systems.
Model predictive control is a receding horizon control policy in which a linear or quadratic program with linear constraints is solved on-line at each sampling instance. An algorithm is developed that allows quick com...
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Model predictive control is a receding horizon control policy in which a linear or quadratic program with linear constraints is solved on-line at each sampling instance. An algorithm is developed that allows quick computation of sub-optimal control moves. The linear constraint set is approximated by an ellipsoid and a change of variables is performed so that a solution may be computed efficiently via bisection. The ellipsoid is rescaled on-line to reduce conservatism. This allows the implementation of model predictive control algorithms to large scale processes using simple control hardware.
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