Time optimal control of systems with bounded inputs is a numerically awkward problem as essentially a whole trajectory has to be designed on the basis of a single final point at unknown time. Analytical solutions are ...
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Time optimal control of systems with bounded inputs is a numerically awkward problem as essentially a whole trajectory has to be designed on the basis of a single final point at unknown time. Analytical solutions are possible only for very few problems, in general numerical techniques will be needed, which, in view of the non convexity of the associated optimization problem, will typically converge to a local minimum. In case of an unknown but experimentally accessible nonlinear system, such a solution cannot be found numerically, but a learning algorithm has been proposed which typically converges to a solution not far from the optimal one. However, as in the case of numerical computations, no guarantee of global optimality can be given. In the numerical case, different randomization techniques can be used to ascertain the existence of better solutions, e.g. by choosing different initial conditions. This is more difficult in the case of an experimental method for unknown systems, but this paper proposes an approach based on virtual outputs (linear combination of measurable states) for the same goal which is shown to work in a classical problem of counterintuitive time optimal control - the fastest climbing of a plane.
This work discusses several approaches to the multi input, single output problem in hydraulic control. The multi input problem arises from the fact, that the actuator force in a hydraulic cylinder is the result of a c...
This work discusses several approaches to the multi input, single output problem in hydraulic control. The multi input problem arises from the fact, that the actuator force in a hydraulic cylinder is the result of a combination of two pressure states, which is not uniquely defined. With each individual pressure state there may be associated a subsystem with a control input. To achieve a desired actuator force there are inifinitely many combinations of pressure values possible, and it is therefore unclear how to chose the tracking reference values for the pressure subsystems. Secondary objectives are defined, with time optimality of the step response of the subsystems being one of them, that can be used to solve the multi input problem by treating it as an optimization problem. The practical implications of the optimal solutions are discussed and a new solution is proposed, motivated by the results of the optimization problems. The proposed solution is used to develop a backstepping control for a hydraulic multi input single output system, and its performance is shown in simulation.
The knowledge of the forces acting between tire and road is crucial for modern vehicle controlsystems. Typically, such forces are estimated on the basis of indirect measurements and rely on complex mathematical model...
The knowledge of the forces acting between tire and road is crucial for modern vehicle controlsystems. Typically, such forces are estimated on the basis of indirect measurements and rely on complex mathematical models. Sensors embedded in the tire (e.g. accelerometers) offer the possibility of directly reaching the area of the tire-road interaction, and of delivering signals during the wheel rotation. Such signals reflect the tire state and the force exchanged between tire and road. In this paper an innovative approach to estimate such forces is presented. It exploits the signal delivered during the wheel rotation by an accelerometer glued to the inner side of the tire tread. The approach consists in processing the signal by means of the Principal Component Analysis (PCA). The results of experimental activities employing a real vehicle provide evidence to support the feasibility and the soundness of the proposed approach.
A model based controller which regulates the braking intensity of a bicycle ergometer based on information on the heart-rate and breathing volume of the bicyclist is developed. The control system enables training at a...
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ISBN:
(纸本)9781479947287
A model based controller which regulates the braking intensity of a bicycle ergometer based on information on the heart-rate and breathing volume of the bicyclist is developed. The control system enables training at a desired heart-rate by automatically adjusting the load. The mathematical model was determined using linear continuous time system identification techniques and can reproduce the behavior of the human subject under aerobic metabolic conditions sufficiently well. Data for identification is obtained through an easy to perform test sequence. A linear quadratic controller is synthesized based on the identified model. Experimental results of one subject show the effectiveness of the developed system.
Model predictive control has become a widely accepted strategy in industrial applications in the recent years. Often mentioned reasons for the success are the optimization based on a system model, consideration of con...
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Dynamical internal combustion engine test benches are commonly used in automotive development to enforce reproducible operating conditions for testing and calibration. The associated control problem consists in tracki...
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ISBN:
(纸本)9781479932757
Dynamical internal combustion engine test benches are commonly used in automotive development to enforce reproducible operating conditions for testing and calibration. The associated control problem consists in tracking simultaneously speed references and torque references and can be described in terms of a nonlinear optimal control problem. In most cases, only one internal combustion engine and one dynamometer are used, either an electrical dynamometer or a hydrodynamic dynamometer, each offering different advantages. In some cases, a so called tandem configuration is meaningful, using a small electrical load machine for baseline operation and a hydrodynamic dynamometer for peak demands, or vice versa. Due to the asymmetric properties of the hydrodynamic dynamometer, the problem cannot be stated directly in terms of a Hamilton-Bellman-Equation, but needs an extension. This paper presents such a solution based on a nonlinear mapping of the asymmetric input constraints and a dynamic extension to the state of the system and examines the usefulness of such an approach. Measurements at a test bench are used to evaluate the performance of the proposed control approach for typical cases.
We propose a model based bolus calculator which, based on an identified model, information on the carbohydrate content of the meals and an initial single glucose measurement, computes the optimal insulin bolus dose in...
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ISBN:
(纸本)9781479932757
We propose a model based bolus calculator which, based on an identified model, information on the carbohydrate content of the meals and an initial single glucose measurement, computes the optimal insulin bolus dose in order to minimize the blood glucose deviations. We use a simulation model for identification of models for control and closed-loop simulations. The performance of the proposed bolus calculator is compared with a model predictive control approach which uses continuous glucose information and insulin injection. Both methods achieve comparable performance for some patients while the insulin amount, number of injections and computational complexity is significantly reduced for the bolus calculator.
Heavy-duty (HD) Diesel engines are designed for on-road and off-road equipment with strongly varying operating conditions. In order to meet emission standards, several combustion control strategies and aftertreatment ...
Heavy-duty (HD) Diesel engines are designed for on-road and off-road equipment with strongly varying operating conditions. In order to meet emission standards, several combustion control strategies and aftertreatment devices employing actual emission information have been developed. Nitrogen oxides (NOx) emissions are among the most constrained by regulations. In this brief, we present a NOx estimation method based on engine speed and indicated pressure measurement. A principal component analysis is performed to describe the information included in the pressure by means of a limited set of variables and L2 regularization techniques are used to derive a simple and reliable estimator. The proposed strategy is implemented on a real off-road HD Diesel engine and validated on both static and dynamic standard test cycles.
We propose an online method to estimate the time-dependent time-delay of continuous glucose measurement devices. The problem is characterized by one delayed signal which is sampled continuously, and a reference signal...
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ISBN:
(纸本)9781467360890
We propose an online method to estimate the time-dependent time-delay of continuous glucose measurement devices. The problem is characterized by one delayed signal which is sampled continuously, and a reference signal which is only available for measurement at (few) irregular time samples. The method makes use of a forgetting function to be able to quickly adapt to changes in the time-delay. A simulation example and the application to blood glucose concentration data obtained from type 1 diabetic subjects, where it is of interest to estimate the time-delay of the continuous glucose measurement device, show the usefulness and effectiveness of the proposed method.
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