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Quantitative feedback design for a variable-displacement hydraulic vane pump
- Source :
- Optimal Control Applications and Methods. 19:63-92
- Publication Year :
- 1998
- Publisher :
- Wiley, 1998.
-
Abstract
- In this paper the model development, problem specification, constraint formulation, and optimal feedback controller design for a variable-displacement hydraulic pump system are shown using the Quantitative Feedback Theory (QFT) technique. The use of variable-displacement pumps in hydraulic system applications has become widespread due to their efficiency advantages; however, this efficiency gain is often accompanied by a degradation of system stability. Here we develop a QFT controller for a variable-displacement pump based upon a linear, parametrically uncertain model in which some of this uncertainty reflects variation in operating point-dependent parameters. After presentation of a realistic non-linear differential equation model, the linearized model is developed and the effect of parametric uncertainty is reviewed. From this point, closed-loop performance specifications are formulated and the QFT design technique is carried out. An initial feasible controller is designed, and this design is optimized via a non-linear programming technique. In conclusion, a non-linear closed-loop system response is simulated. This paper is intended to have tutorial value, both in terms of the detailed hydraulic system model development, as well as in terms of the detailed exposition of the QFT controller design and optimal loop shaping processes. © 1998 John Wiley & Sons, Ltd.
- Subjects :
- Engineering
Adaptive control
Control and Optimization
business.industry
Applied Mathematics
Control engineering
Optimal control
Variable displacement
Nonlinear programming
Quantitative feedback theory
Control and Systems Engineering
Control theory
Linearization
Hydraulic machinery
business
Hydraulic pump
Variable displacement pump
Software
Parametric statistics
Subjects
Details
- ISSN :
- 10991514 and 01432087
- Volume :
- 19
- Database :
- OpenAIRE
- Journal :
- Optimal Control Applications and Methods
- Accession number :
- edsair.doi.dedup.....d7e152127c5784e12b917b046aeebb63
- Full Text :
- https://doi.org/10.1002/(sici)1099-1514(199803/04)19:2<63::aid-oca618>3.0.co;2-h