Li. Yaoyu

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Yaoyu Li is Professor of Mechanical Engineering. His expertese is in "monitoring and control systems that boost the energy efficiency of buildings and vehicles and maximize the energy captured from wind and sunlight." His research interests include:

  • Control, modeling, optimization and condition monitoring of mechanical and electromechanical systems
  • Building HVAC systems: dynamic modeling, control, energy management and fault detection
  • Energy management and control for smart buildings, smart grid and microgrid systems
  • Control and condition monitoring for wind energy systems
  • Control and diagnostics of photovoltaic systems
  • Power management and battery management for plug-in hybrid and electric vehicles; intelligent transportation systems
  • Extremum Seeking Control (ESC) under actuation nonlinearities and ESC integrated diagnostics

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Recent Submissions

Now showing 1 - 2 of 2
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    Platform Stabilization and Load Reduction of Floating Offshore Wind Turbines Using Dynamic Vibration Absorbers
    (Institute of Electrical and Electronics Engineers Inc.) Wu, Zhongyou; Li, Yaoyu; Wu, Zhongyou; Li, Yaoyu
    Floating offshore wind turbine (FOWT) is deemed the primary solution to the future penetration of wind power generation into deep water, while desirable FOWT operation faces significant challenge of under-actuation to meet the control objectives for platform stability, power regulation and load reduction. It is desirable to develop simple, low-cost and low-power actuation schemes for FOWT platform stabilization. In this paper, a dynamic vibration absorber (DVA) scheme is proposed to suppress the platform pitch and roll motion for FOWTs with tensioned-leg platform (TLP). With DVAs installed on each spoke of platform, both passive and active control can be possible for platform stabilization. A simulation model of the DVA is developed in Simulink, along with an interface to the TLP model of FOWT in NREL's FAST platform. Simulations are performed on the 5MW WindPACT model for 9 m/s and 18 m/s turbulent wind inputs. The results show that the proposed DVA strategy can significantly suppress the platform motion as well as reduce the tower loads with reasonably low power consumption. ©2018 AACC.
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    Constraint Handling in ESC Control Strategies with Application to HVAC Systems
    (Institute of Electrical and Electronics Engineers Inc.) Dong, L.; Li, Y.; Salsbury, T. I.; House, J. M.; 0000-0001-5025-0313 (Li, Y); 46216170 (Li, Y); Dong, Liujia; Li, Yaoyu
    When applying ESC to a complex system, internal variables within the system may be subject to constraints that cannot be handled explicitly by limiting the range of the variable(s) manipulated by ESC. This is particularly evident in HVAC systems where ESC is often used to minimize energy use but where internal variables need to be constrained to satisfy comfort requirements. To address this problem, the paper proposes the use of penalty functions that are incorporated in the objective function. This approach is generally applicable because mathematical information about the relationship between the constrained variables and the ESC manipulated variables is not required. The paper describes the application of penalty functions to two types of HVAC systems: variable refrigerant flow (VRF) systems; and roof-top air-conditioners. Different penalty function formulations are described and results are shown from tests on detailed simulation models. © 2018 AACC.

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