Automatic tuning of predictive control in a hydrostatic drive train system in nominal operation

This paper presents an automatic model based predictive control tuning and operation of a hydrostat drive train system under nominal conditions. An industrial-friendly version of the predictive control strategy is applied whereas the model is simplified as an approximation of first order plus dead time and the control design parameters are automatically tuned. Implementation on a SISO drive train is experimentally achieved with successful performance in closed loop tests. From the identified characteristics of the real life drive train, a simulated MIMO system is extracted and automatic tuning is again performed. A limitation of the present work is that constraints are not yet included, only safety limits.

[1]  Dana Copot,et al.  Hands-on MPC tuning for industrial applications , 2019 .

[2]  Cosmin Copot,et al.  Vibration suppression in multi-body systems by means of disturbance filter design methods , 2018 .

[3]  Graham C. Goodwin,et al.  Robust output-feedback model predictive control for systems with unstructured uncertainty , 2008, Autom..

[4]  Krist V. Gernaey,et al.  Liquid‐to‐solid ratio control as an advanced process control solution for continuous twin‐screw wet granulation , 2018 .

[5]  Sheng Liu,et al.  Effect of Control Horizon in Model Predictive Control for Steam/Water Loop in Large-Scale Ships , 2018, Processes.

[6]  Rajit Johri,et al.  Hydraulic Hybrid Powertrain-In-the-Loop Integration for Analyzing Real-World Fuel Economy and Emis , 2011 .

[7]  Clara M. Ionescu,et al.  Robust autotuning MPC for a class of process control applications , 2016, 2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).

[8]  Robin DE KEYSER,et al.  MODEL BASED PREDICTIVE CONTROL FOR LINEAR SYSTEMS , 2011 .

[9]  Dana Copot,et al.  An industrially relevant formulation of a distributed model predictive control algorithm based on minimal process information , 2018, Journal of Process Control.

[10]  A.G. Alleyne,et al.  Earthmoving vehicle powertrain controller design and evaluation , 2004, Proceedings of the 2004 American Control Conference.

[11]  Robin De Keyser,et al.  A Portable Implementation on Industrial Devices of a Predictive Controller Using Graphical Programming , 2016, IEEE Transactions on Industrial Informatics.

[12]  Clara M. Ionescu,et al.  Energy efficiency management in vehicles using road profile and predictive control: A conceptual study , 2016, 2016 20th International Conference on System Theory, Control and Computing (ICSTCC).

[13]  Noah D. Manring,et al.  Modeling and Designing a Hydrostatic Transmission With a Fixed-Displacement Motor , 1998 .

[14]  Bart Vanwalleghem.  Optimization of the efficiency of hydrostatic drives , 2011 .

[15]  R. De Keyser,et al.  The disturbance model in model based predictive control , 2003, Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003..

[16]  Clara M. Ionescu,et al.  Advantage of Low-Cost Predictive Control: Study Case on a Train of Distillation Columns , 2018, Chemical Engineering & Technology.