A perturbed system with input-output dynamics of arbitrary and well defined relative degree is considered. The almost instantaneous convergence to the origin is achieved via impulsive control acting in a concert with ...
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ISBN:
(纸本)9781479978878
A perturbed system with input-output dynamics of arbitrary and well defined relative degree is considered. The almost instantaneous convergence to the origin is achieved via impulsive control acting in a concert with continuous HOSM controller. The impulsive actions are implemented in a piecewise constant format. The efficacy of the proposed control algorithm is verified via simulations.
The aim of this paper is to develop a control algorithm for load sharing in an isolated microgrid with renewable energy sources (RESs) and storage devices. In this paper, a load sharing control scheme is proposed wher...
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ISBN:
(纸本)9781467380416
The aim of this paper is to develop a control algorithm for load sharing in an isolated microgrid with renewable energy sources (RESs) and storage devices. In this paper, a load sharing control scheme is proposed where a central power management unit and local controllers work together to share the load of a microgrid with its available generators. The central control unit is able to estimate the load deviations for each node centrally by using only the node voltages. This control scheme considers both resistive and inductive transmission lines and works well in a microgrid environment with RESs. Simulation results show that its load-sharing errors are negligible and all the node voltages are within the permissible limits.
The efficiency of the wind power conversions systems can be greatly improved using an appropriate control algorithm. In this work, an adaptive robust control for a variable speed wind power generation is described. A ...
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ISBN:
(纸本)9781467379304
The efficiency of the wind power conversions systems can be greatly improved using an appropriate control algorithm. In this work, an adaptive robust control for a variable speed wind power generation is described. A robust aerodynamic torque observer is also designed in order to avoid the wind speed sensors. The proposed adaptive robust control law is based on a sliding mode control theory, that presents a good performance under system uncertainties. The stability analysis of the proposed controller under disturbances and parameter uncertainties is provided using the Lyapunov stability theory. Finally simulated results show, on the one hand that the proposed controller provides high-performance dynamic characteristics, and on the other hand that this scheme is robust with respect to plant parameter variations and external disturbances.
This work describes a type of distributed feedback control algorithm that acts on a vertical queueing network where flow dynamics may greatly outpace the rate of feedback and actuation. The modeled network has a known...
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ISBN:
(纸本)9781479917730
This work describes a type of distributed feedback control algorithm that acts on a vertical queueing network where flow dynamics may greatly outpace the rate of feedback and actuation. The modeled network has a known, finite set of feasible actuations for the binary controllers located at each network node. It also has known expected demands, split ratios, and maximum service rates. Previous work proposed the application of a max pressure controller to maximize throughput on such a network without the need for centralized computation of a control policy. Here we extend the max pressure controller to satisfy practical constraints on the frequency of switching and guarantees on proportional actuation. We fundamentally alter the formulation of max pressure to a setting where the controller may only update at a rate significantly slower than the dynamics of queue formation. Furthermore, the set of allowable controllers is extended to any convex combination of available signal phases to account for signal changes within a single signal "cycle". We show that this proposed extended max pressure controllers stabilize a vertical queueing network (queue lengths remain bounded in expectation) given slightly increased restrictions on admissible network demand flows. This work is motivated by the application of controlling traffic signals on arterial road networks. Max pressure provides an intriguing alternative to existing feedback control systems due to its distributed implementation and theoretical guarantees, but cannot be directly applied as originally formulated due to hardware and safety constraints. We ultimately apply our extension of max pressure to a simulation of an existing arterial roadway and provide comparison to the control policy that is currently deployed on this site.
Technological advances have made wireless sensor nodes cheap and reliable enough to be brought into various application domains. The limited energy capacity of sensor nodes is the key factor that restricts their lifes...
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ISBN:
(纸本)9781467371605
Technological advances have made wireless sensor nodes cheap and reliable enough to be brought into various application domains. The limited energy capacity of sensor nodes is the key factor that restricts their lifespan. In this paper, a Predictive Control strategy for Dynamic Power Management of a set of wireless sensor nodes is proposed. The control formulation is based on Model Predictive Control with constraints and binary optimization variables, leading to a Mixed Integer Quadratic Programming problem. The proposed control algorithm guarantees services and performances levels with a minimum number of active nodes and/or a minimum load on such components. The strategy is evaluated on a real test-bench with wireless sensor nodes equipped with batteries and harvesting systems. Experimental results show the effectiveness of the proposed control method.
In this paper global tracking and parameter convergence are proven for an adaptive control algorithm with independently saturated proportional and derivative terms through a persistency of excitation condition, while ...
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ISBN:
(纸本)9781479978878
In this paper global tracking and parameter convergence are proven for an adaptive control algorithm with independently saturated proportional and derivative terms through a persistency of excitation condition, while guaranteeing the inputs to never reach their natural saturation limit. As far as the authors are aware this is the first work that achieves globally the motion control objective and system identification, avoiding actuator saturation.
In this work, a practical event-based framework for multivariable processes is introduced. The developed control algorithm is based on a Generalized Predictive Control (GPC) algorithm suitable for MIMO systems. The mo...
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ISBN:
(纸本)9781467378895
In this work, a practical event-based framework for multivariable processes is introduced. The developed control algorithm is based on a Generalized Predictive Control (GPC) algorithm suitable for MIMO systems. The most important advantage of the proposed control scheme is the adaptability of control actions to process disturbances and process interactions. Moreover, event-based approach allows prioritizing selected control variables, paying more attention to important variables (often related to security or costs) while neglecting non-critical ones. This is possible through adjusting the sensor deadband value, making feasible a tradeoff between control effort and control performance. Using this approach, it is possible to keep less relevant variables within the established limits, focusing the control system attention on those critical for process operation. The analyzed event-based control technique for multivariable systems is tested through a simulation study and considering an industrial stirred tank reactor process. The obtained results show several benefits regarding event-based control application, keeping all properties of event-based approach as well as model predictive control ones.
It is ethically problematic to engage people with impaired motor functions in experiments, wherein they may face severe pain and unacceptable risk of injuries. We developed a wearable robot for healthy adults and its ...
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ISBN:
(纸本)9781479917631
It is ethically problematic to engage people with impaired motor functions in experiments, wherein they may face severe pain and unacceptable risk of injuries. We developed a wearable robot for healthy adults and its control algorithm to simulate the behaviors of patients with knee osteoarthritis. We focused on invariant motions, which are typically presented for avoiding knee pain. In order to simulate patient movements by a healthy person wearing a robot, we formulated a model motion that represented invariant patient motions. We then determined the output torque of the exoskeletal knee robot such that the wearer's motion followed the model motion. The effectiveness of the method was testified for standing-up and sitting-down motions, and some characteristic impaired motions such as body inclination to the healthy side and imbalanced right and left knee angles were manifested by the simulator.
There have been very few advanced control algorithms developed for small commercial buildings due to practical difficulties such as the spatial comfort variations, significant disturbances, high sensor costs, and high...
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ISBN:
(纸本)9781479917730
There have been very few advanced control algorithms developed for small commercial buildings due to practical difficulties such as the spatial comfort variations, significant disturbances, high sensor costs, and high cost of site-specific engineering solutions. High implementation cost has been a major impediment to successful market penetration. The focus of this work is to develop and demonstrate plug-and-play optimal coordination of multiple roof top units (RTUs). The goal is to minimize the time required to configure the control strategy in order to enable a more cost effective control implementation for small commercial building applications.
In this paper we describe an effort recently completed at UT Dallas to develop a high-fidelity computational fluid dynamics code to test and develop control algorithms aimed at maximizing power production and load mit...
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ISBN:
(纸本)9781479917730
In this paper we describe an effort recently completed at UT Dallas to develop a high-fidelity computational fluid dynamics code to test and develop control algorithms aimed at maximizing power production and load mitigation. Preliminary results of three aligned turbines operating at different tip speed ratios (TSRs) are discussed to show the wealth of details available from the present code. The finer solution of the flow physics allows to gain a better understanding of how control algorithms should be designed and implemented in practical configurations. The paper includes a detailed analysis of the power and loads for optimal TSRs obtained by applying dynamic programming to a low-fidelity analytical model.
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