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The American Automatic Control Council awards are given to recognize excellence in scientific, technological, or educational contributions to automatic control. Congratulations to this year's winners!
ACC17 thanks all of our sponsors for their generous support of our conference. Many of our sponsors will have exhibits at ACC17 that we encourage everyone to visit. Exhibits will be open Wednesday morning through Friday afternoon at the Grand Ballroom Pre-function area, on the 2nd floor. Please note that many of the Gold sponsors are giving sponsored sessions listed in the Special Sessions section...
The ACC will offer workshops addressing current and future topics in automatic control from experts in academia, national laboratories, and industry. The workshops at ACC 2017 will take place prior to the conference on Monday, May 22 and Tuesday, May 23, 2017.
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Provides an abstract for each of the plenary presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
Provides an abstract for each of the special or tutorial presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
Wind turbines are often sited together in wind farms as it is economically advantageous. However, the wake inevitably created by every turbine will lead to a time-varying interaction between the individual turbines. Common practice in industry has been to control turbines individually and ignore this interaction while optimizing the power and loads of the individual turbines. However, turbines that...
Currently, wind farms typically rely on greedy control, in which the individual turbine's structural loading and power are optimized. However, this often appears suboptimal for the whole wind farm. A promising solution is closed-loop wind farm control using state feedback algorithms employing a dynamic model of the flow. This control method is a novelty in wind farms, and has potential to provide...
Large-Eddy Simulations (LES) of an array of wind turbines have been carried out to design and evaluate a model-free approach, extremum-seeking control (ESC), for power maximization. This paper shows how to coordinate the action of the extremum seeking controllers (at each turbine) by nesting the objective functions used for optimization so that the power of the overall array is maximized. The paper...
In applications such as home air conditioners and building chillers, optimizing a vapor compression system's energy consumption may lead to significant operational cost savings for the entire HVAC system. Model-free extremum seeking has recently been investigated as a means of real-time nonlinear programming for HVAC equipment. For mass produced vapor compression systems, gradient descent extremum...
This paper investigates a distributed model predictive control (DMPC) framework for building control applications. The proposed framework is general in that it can be easily customized to solve the dynamic optimization problem for a broad class of multi-zone buildings with relatively complex HVAC systems. The Proximal Jacobian alternating direction method of multipliers (ADMM), a recent variant of...
Decisions on how to best optimize energy systems operations are becoming ever so complex and conflicting, that model-based predictive control (MPC) algorithms must play an important role. However, a key factor prohibiting the widespread adoption of MPC in buildings, is the cost, time, and effort associated with learning first-principles based dynamical models of the underlying physical system. This...
It is important to have practical methods for constructing a good mathematical model for a building's thermal system for energy audits, retrofit analysis and advanced building controls, e.g. model predictive control. Identification approaches based on semi-physical model structures are popular in building science for those purposes. However conventional gray box identification approaches applied to...
Demand Response (DR) program is one of the ancillary services to reduce the peak load contribution of buildings by altering the operation of dispatchable load including Heating, Cooling and Air-Conditioning (HVAC) load. In this paper, a Model Predictive Controller (MPC) is designed to optimize the power flows from the grid and Energy Storage Systems (ESS) to a commercial building equipped with HVAC...
Extremum Seeking Control (ESC) has been recognized as a potential model-free control solution for applications where model acquisition is difficult and/or cost prohibitive, e.g. for building HVAC systems. Such systems have large numbers of candidate inputs that could be used for ESC, however, it is not economically necessary to include all of them as manipulated inputs. This study presents a Hessian...
Lithium-ion (Li-ion) battery faults are potentially hazardous to battery health, safety and performance. Thermal fault mechanisms represent a critical subset of such failures. To ensure safety and reliability, battery management systems must have the capability of diagnosing these thermal failures. We present a Partial Differential Equation (PDE) model-based scheme for diagnosing thermal faults in...
Within electrified vehicle powertrains, lithium-ion battery performance degrades with aging and usage, resulting in a loss in both energy and power capacity. As a result, models used for system design and control algorithm development would ideally capture the impact of those efforts on battery capacity degradation, be computationally efficient, and simple enough to be used for algorithm development...
Physically-based Li-ion electrochemical cell models have been shown capable of predicting cell performance and degradation, but are computationally expensive for optimization-oriented design applications. Faster empirical models have been developed from experimental data, but are not generalizable to operating conditions outside of the range established by the calibration data. In this paper, a reduced-order...
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