Published: 2017-12-20
ISBN: 978-91-7685-369-6
ISSN: 1650-3686 (print), 1650-3740 (online)
This paper presents an analysis of the potential for engine speed reduction in hydraulic equipment, taking into account not only the minimum engine speed required to meet the current flow demand, but also the minimum speed capable of accelerating the engine to meet increased flow demand in the near future. This is a predictive task, as it requires an estimate of the operator’s intention to increase flow demand. We present an analysis of the potential for engine speed reduction using a work cycle from a 40 ton excavator loading a truck, which results in a 33% reduction in the mean engine speed with no reduction in useful work rate. We also present an engine speed control algorithm to perform this predictive task. This controller is easy to tune and requires only a small amount of information about the plant and work cycle. A simulation study is performed that demonstrates the controller’s performance and studies the effect of tuning parameters.
[1] Goering, C., Stone, M., Smith, D., and Turnquist, P., 2003. Off-road Vehicle Engineering Principles. American Society of Agricultural Engineers, St. Joseph, MI.
[2] Bennick, C. 2012. “Excavators: Get to Know the Working Modes” Equipment Today, Sept 2012.
[3] Kim, H., Choi, J. and Yi, K., 2012. Development of supervisory control strategy for optimized fuel consumption of the compound hybrid excavator. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 226(12), pp.1652-1666.
[4] Lin, X., Pan, S.X. and Wang, D.Y., 2008. Dynamic simulation and optimal control strategy for a parallel hybrid hydraulic excavator. Journal of Zhejiang University-SCIENCE A, 9(5), pp.624-632.
[5] Hippalgaonkar, R. and Ivantysynova, M. 2015. Optimal Power Management for DC Hydraulic Hybrid Multi-Actuator Machines - Part 1: Theoretical Studies, Modeling and Simulation. ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 138, Issue 5
[6] .Hippalgaonkar, R. and Ivantysynova, M. 2015. Optimal Power Management for DC Hydraulic Hybrid Multi-Actuator Machines - Part 2: Machine Implementation and Measurement. ASME Journal of Dynamic Systems, Measurement, and Control, Vol. 138, Issue 5
[7] Wiens, T. and Bitner, D., 2016. “An Efficient, High Performance and Low-Cost Energy Recovering Hydrostatic Linear Actuator Concept. Proceedings of the 2016 Bath/ASME Symposium on Fluid Power and Motion Control, Bath, UK.
[8] Perkins Engines Company Limited, 2005, “Technical Data 1100 Series”, Publication No TDP 1502E, Peterborough, UK.
[9] Forsythe, G. E., M. A. Malcolm, and C. B. Moler, 1976, Computer Methods for Mathematical Computations, Prentice-Hall.
