The dynamics of the biped locomotion system with many degrees of freedom are analyzed from a control theoretic point of view. By the use of the singular perturbation technique, it is shown that biped locomotion can be...
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The dynamics of the biped locomotion system with many degrees of freedom are analyzed from a control theoretic point of view. By the use of the singular perturbation technique, it is shown that biped locomotion can be divided into two modes with respective time scales, the fast mode and the slow mode. Based on this fact, a control system for dynamical biped locomotion is constructed. The effectiveness of the proposed control algorithm is verified using computer simulation.
Various recursive parameter estimation algorithms and controller design procedures can be combined to build up parameter adaptive control algorithms. Three parameter estimators and seven control algorithms have been s...
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Various recursive parameter estimation algorithms and controller design procedures can be combined to build up parameter adaptive control algorithms. Three parameter estimators and seven control algorithms have been selected taking into account good convergence properties and small computational expense and regarding the conditions for closed loop identification. The resulting 21 adaptive control algorithms are compared and tested with a process computer in on-line operation with analog simulated stable and unstable processes for stochastic and deterministic disturbances without and with external perturbation signals. The results are very promising. In many cases a good control performance is achieved. As a priori knowledge only the sampling time, the process model order and time delay and in some cases a weighting factor for the process input signal are required. The best adaptive control algorithms are applied for digital adaptive control of a nonlinear pipeline pilot plant and an air heater. Conclusions are given for the selection of parameter adaptive control algorithms, depending on the type of process and its disturbances. The adaptive control algorithms can be applied for adaptive control of constant and time variant, linear and nonlinear, stable and unstable processes with process computers or micro computers or for self-tuning of control algorithms or tuning of conventional analog PID controllers.
An environmental system with two conditioned spaces is considered. Conditioned spaces are assumed to have limited heat transfer through ducts with the ambient, a cold air source and a hot air source as well as with ea...
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An environmental system with two conditioned spaces is considered. Conditioned spaces are assumed to have limited heat transfer through ducts with the ambient, a cold air source and a hot air source as well as with each other. The ducts are equipped with louvers and are idealized by variable thermal resistances. The conditions for optimal control are derived by using Pontryagin’s maximum principle. The control action is shown to be of bang-bang type. A method which makes use of the behavior of the costate variables is used to determine the optimal control sequence. Solutions for a typical physical system show that the time optimal control is achieved by switching the control variables at most two times. The state space is divided into eight regions and within each region one and the same control algorithm applies. The results also show that time optimum control of two capacity thermal systems leads to energy as well as time savings if the two capacities are interconnected by a controllable thermal resistance.
The implementation and performance of direct digital control algorithms in a microcomputer-based controller was studied in relation to the control of nonlinear thermal processes. Particular emphasis was given to discr...
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The implementation and performance of direct digital control algorithms in a microcomputer-based controller was studied in relation to the control of nonlinear thermal processes. Particular emphasis was given to discrete algorithms such as proportional-integral and finite time settling control algorithms. Experimental studies were carried out with a nonlinear diffusion furnace controlled by an Intel 8080-based microcomputer system, on which the control algorithms were implemented. The performance of different, modified, linear control algorithms were evaluated in thermal process control applications.
A multivariable reactivity control algorithm is developed to maintain acceptable reactor spatial kinetics response during reactor power cycling. A modal model for describing the space-time kinetics response of a CANDU...
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A multivariable reactivity control algorithm is developed to maintain acceptable reactor spatial kinetics response during reactor power cycling. A modal model for describing the space-time kinetics response of a CANDU (Canadian Deuterium Uranium) reactor is devised and ultilized in the control study. A one neutron energy group approximation and other assumptions appropriate to the CANDU reactor studied are used to derive a diffusion equation from the linearized Boltzman equation. The effects of Xe135and I135are incorporated in the model. The kinetics variables are expanded in terms of an infinite series of eigenfunctions which are solutions of the scalar Helmholtz equation solved on the volume of the reactor. The control reactivities are modelled as an evenly distributed reactivity for gross reactor load cycling and point reactivity devices for spatial control. The system dynamics equations are written in a bilinear state space form. An algorithm is devised to determine the control vector required to achieve a desired kinetics behaviour about the nominal response. The algorithm is illustrated for a typical load cycle by means of a digital computer program.
Discretization of a popular continuous-time control algorithm is effected and an equivalent discrete-time identification law developed and compared to a published discrete identification algorithm developed from Lyapu...
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Discretization of a popular continuous-time control algorithm is effected and an equivalent discrete-time identification law developed and compared to a published discrete identification algorithm developed from Lyapunov Theory. Results are compared as regards asymptotic stability as insured using Lyapunov theory. Some analysis and design guidelines are proposed as regards implementation and practical utility.
With an artificial pancreas insulin was delivered through a venous infusion and the rate of delivery was adjusted according to data provided by a continuous blood glucose monitor. After different trials, control algor...
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With an artificial pancreas insulin was delivered through a venous infusion and the rate of delivery was adjusted according to data provided by a continuous blood glucose monitor. After different trials, control algorithms integrating 2 parameters were selected: instantaneous blood glucose concentration and increasing or decreasing patterns of blood glucose. A constant basal insulin infusion rate was added and improved the control of glycemic excursions. Different parameters concerning exogenous insulin homoeostasis were determined. The delay to reach an insulin effect was 18 .+-. 2 min and was shortened by a priming-dose at the beginning of the infusion. The insulin effect remained for 28 .+-. 2 min after the infusion had been stopped, but differences were noted in the morning (21 .+-. 2 min), in the afternoon (32 .+-. 2 min) and during the night (25 .+-. 3 min). Insulin needs were evaluated during meals. Related to the amount of carbohydrates, the doses fell from 0.53 units/h per g of carbohydrate for breakfast to 0.15 for dinner. From these data, it appears that the efficiency of exogenous insulin exhibits a circadian rhythm.
A self-tuning method is described for a simple discrete-time control algorithm presented in a previous paper. With self-tuning, the algorithm is a candidate for a new class of single-loop controllers that would be con...
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A self-tuning method is described for a simple discrete-time control algorithm presented in a previous paper. With self-tuning, the algorithm is a candidate for a new class of single-loop controllers that would be considerably more convenient to use than the present analog PID controllers. Experimental results are presented indicating the applicability of the tuning and control algorithms to typical, nonideal processes.
A tactile-controlled robot that makes possible precision inserting operations with a clearance of only a few microns is described. The principal part of this robot is the insertion control unit, which integrates posit...
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The artificial .beta.-cell is a Glucose controlled Insulin (and dextrose) Infusion System (CGIIS) for maintaining normoglycemia in diabetic conditions and other disturbances of metabolism. The insulin and dextrose inf...
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The artificial .beta.-cell is a Glucose controlled Insulin (and dextrose) Infusion System (CGIIS) for maintaining normoglycemia in diabetic conditions and other disturbances of metabolism. The insulin and dextrose infusion rates are calculated by a microcomputer according to the static glucose concentration (proportional control) and to its rate of change (dynamic control). The algorithmscontrolling the computer can be adapted to the subjects'' requirements. The artificial .beta.-cell is able to maintain blood sugar values in diabetics within physiological ranges during the course of the day. The response of the artificial .beta.-cell was examined using a 100 g oral glucose load in severe diabetics. The 1st type of control algorithms applied effected a small initial insulin infusion following OGTT in 8 juvenile diabetics connected with the artificial .beta.-cell. The glucose responses thus obtained were similar to latent diabetes. When the computer was controlled by the 2nd type of algorithms with a more responsive dynamic control and a consequently higher initial insulin infusion, in 1 diabetic OGTT [oral glucose tolerance test] fully normalized, whereas an improvement was achieved in another diabetic patient. control algorithms must be varied individually, depending on residual .beta.-cell function and glucose regulatory mechanisms.
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