Perry Y. Li


Professor

Department of Mechanical Engineering

University of Minnesota

111 Church St. SE

Minneapolis, MN 55455

Email: lixxx099(at)umn.edu

Tel: 612-626-7815 (Office)

Recent papers

Book chapters:

Journals:

Conferences:

2023 American Control Conference (ACC 2023):

2022 ASME/Bath Symposium on Fluid Power and Motion Control (FPMC 2022):

2021 ASME/Bath Symposium on Fluid Power and Motion Control (FPMC 2021):

2021 Modeling, Estimation and Control Conference (MECC'2021) - Inaugural:

Recent presentations

CDSR_Plenary_2020

 "Combining Hydraulic and Electric Actuation To Improve Efficiency and Control        Effectiveness for Off-Road Mobile Machines"

In this presentation, I present the "hybrid hydraulic-electric architecture" for high power mobile machines such as excavators, wheel-loaders, combines and the like. This architecture reaps the benefits of electrification (high efficiency and controllability) without paying the cost of high power electrical components. Control problems, both for minimizing energy use and for following user commands, are presented.  

FPMC_2020_2801_Li_Barkei.mp4

"Hydraulic Effort and the Efficiencies of Pump/Motors with Compressible Fluids, with Application to Pump/Motor Efficiencies"

This paper considers how the well-known formulae for incompressible fluid such as continuity, power flow, torque/flow equations of ideal pump/motors should be modified in the presence of compressible fluid. It turns out that all formulae can be essentially preserved as long as the pressure difference term is replaced by the hydraulic effort term which accounts for compressible energy carried by a volume of pressurized fluid. Consistent formulae for volumetric, mechanical and power (total) efficiencies are then derived with the property that the product of volumetric and mechanical efficiencies is the power efficiency.

CCEFP_compressible_efficiencies

"Modifying Familiar Hydraulic Equations to Account for Fluid Compressibilities, with Application to Pump/Motor Efficiencies"

(This is a more detailed presentation of the material in the FPMC 2020 video above)

ACC2020 Self_sense_solenoids

 "Self-Sensing Dual Push-Pull Solenoids using a Finite-Dimensional Flux Observer,”

In this paper, we present our self-sensing algorithm for determining the position of a pair of solenoids in the push-pull configuration using electrical information (voltages and currents) only. Accuracy up to 0.061mm (or 1.5% of the stroke) is achieved. The key is a consistent model that accounts for eddy current dynamics.