116 research outputs found
Adaptive Output-Feedback Control with Closed-Loop Reference Models and Applications to Very Flexible Aircraft
Preprint of JGCD 2015-01-G001282 paper.This paper proposes an adaptive controller for a class of multi-input multi-output (MIMO) plants where the number of outputs is larger than the number of inputs, an example of which is very-flexible aircraft (VFA). A dominant presence of model uncertainties and actuator anomalies necessitates an adaptive approach for control of VFA. The proposed controller, denoted as the adaptive SPR/LTR controller, combines a baseline observer-based design with loop transfer recovery (LTR) properties and an adaptive design based on strictly positive real (SPR) transfer functions. In addition to accommodating the absence of full state measurements, the controller includes a reference model that also plays the role of an observer through a closed-loop component. Conditions are delineated under which this controller, can guarantee asymptotic reference tracking, and the control design is validated using a VFA model around a single equilibrium flight condition with 707 states, 12 outputs and 2 control inputs. Simulation results show that the adaptive controller not only ensures stability but also recovers a nominal performance both in time domain and in frequency domain despite the presence of varying wing shape and actuator anomalies.the Boeing Strategic University Initiativ
Frequency Control using Cooperative Demand Response through Accumulated Energy
This paper proposes a hierarchical control architecture
for engaging demand into providing primary frequency
response services. The proposed architecture relies on the use of
information about accumulated energy for the aggregation of demand
capabilities and dissagregation of demand responsibilities.
Since the accumulated energy has a distinct additive property, the
aggregation/disaggregation of demand becomes straightforward.
Additional unique features of the proposed architecture are
that it: i) includes the information of inflexible load in the
aggregated demand, ii) allows for intuitive cooperation between
load aggregators. Conditions for stability under cooperating load
aggregators are derived. Finally, simulations are carried out on
the IEEE 39-bus system to illustrate the proposed concepts of
aggregation, disaggregation and cooperation.NSF initiative, Award no. EFRI-144130
A Practical Integration of Automatic Generation Control and Demand Response
For a power grid to operate properly, electrical
frequency must be continuously maintained close to its nominal
value. Increasing penetration of distributed generation, such as
solar and wind generation, introduces fluctuations in active power
while also reducing the natural inertial response of the electricity
grid, creating reliability concerns. While frequency regulation
has traditionally been achieved by controlling generators, the
control of Demand Response resources has been recognized in
recent smart grid literature as an efficient means for providing
additional regulation capability. To this end, several control
methodologies have been proposed recently, but various features
of these proposals make their practical implementations difficult.
In this paper, we propose a new control algorithm that facilitates
optimal frequency regulation through direct control of both
generators and Demand Response, while addressing several issues
that prevent practical implementation of other proposals. In
particular, i) our algorithm is ideal for control over a large,
low-bandwidth network as communication and measurement is
only required every 2 seconds, ii) it enables Demand Response
resources to recover energy lost during system transients, and iii)
it accommodates both measured disturbances and unmeasured
disturbances. We demonstrate the viability of our approach
through dynamic simulations on a 118-bus grid model.NSF initiative, Award no. EFRI-144130
Closed-loop Reference Models for Output-Feedback Adaptive Systems
Closed-loop reference models have recently been proposed for states
accessible adaptive systems. They have been shown to have improved transient
response over their open loop counter parts. The results in the states
accessible case are extended to single input single output plants of arbitrary
relative degree.Comment: v1 Submitted to European Control Conference 2013, v2 Typos correcte
Cumulative Prospect Theory Based Dynamic Pricing for Shared Mobility on Demand Services
Cumulative Prospect Theory (CPT) is a modeling tool widely used in behavioral
economics and cognitive psychology that captures subjective decision making of
individuals under risk or uncertainty. In this paper, we propose a dynamic
pricing strategy for Shared Mobility on Demand Services (SMoDSs) using a
passenger behavioral model based on CPT. This dynamic pricing strategy together
with dynamic routing via a constrained optimization algorithm that we have
developed earlier, provide a complete solution customized for SMoDS of
multi-passenger transportation. The basic principles of CPT and the derivation
of the passenger behavioral model in the SMoDS context are described in detail.
The implications of CPT on dynamic pricing of the SMoDS are delineated using
computational experiments involving passenger preferences. These implications
include interpretation of the classic fourfold pattern of risk attitudes,
strong risk aversion over mixed prospects, and behavioral preferences of self
reference. Overall, it is argued that the use of the CPT framework corresponds
to a crucial building block in designing socio-technical systems by allowing
quantification of subjective decision making under risk or uncertainty that is
perceived to be otherwise qualitative.Comment: 17 pages, 6 figures, and has been accepted for publication at the
58th Annual Conference on Decision and Control, 201
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