6533b7d0fe1ef96bd125a435
RESEARCH PRODUCT
An analysis of model predictive control with integral action applied to digital displacement cylinders
Morten Kjeld EbbesenViktor Hristov DonkovTorben Ole Andersensubject
digital displacement cylindersOptimizationbusiness.industryStructural engineeringVDP::Mechanical engineering: 570lcsh:QA75.5-76.95Computer Science ApplicationsDigital Displacement CylindersIntegral actionModel predictive controlModell-prediktiv reguleringControl and Systems EngineeringVDP::Maskinfag: 570Modeling and SimulationOptimaliseringDisplacement (orthopedic surgery)lcsh:Electronic computers. Computer scienceModel predictive controlbusinessSoftwareModel Predictive ControlMathematicsdescription
This article aims to analyze Model Predictive Control (MPC) for the control of multi-chamber cylinders. MPC with and without integral action has been introduced. Three different algorithms have been used to solve the optimization problem in the MPC. The different algorithms have been compared with an industrial solver. The influence of changing mass, choosing a different middle line pressure, system delays, signal noise, velocity estimation, and changing pressure levels has been investigated. It is concluded that for the small prediction horizon used in the paper a simple algorithm such as A can produce results as good as the previously used Differential Evolution algorithm in less than half the time. It is further concluded that unknown software delays and unknown changes in mass have the largest effect on system performance.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-10-01 |