Model Predictive Control

Contact Details

Dr. Adrian Wills

Email

Phone

+61 2 49216028

Fax

+61 2 49216993

Office

Callaghan Campus
Building EA: EA-204

Post

Dr. Adrian Wills

School of Electrical Engineering and Computer Science

- - -

Funding

Australian Research Council

Discovery Project
DP0774086
2007-2009
Value: $246,090

University of Newcastle

Strategic Pilot Research Grant
Strategic Pilot Research Grant
2008-2009
Value: $15000

University of Newcastle

Near Miss Grant
G0189828
2009
Value: $20000

Australian Research Council

Discovery Project
DP1095645
2010-2012
Value: $170,000

Industry Funding

General Motors Partnership
2011-2012
Value: $110,000
This project is concerned with development of algorithms and hardware for high-speed model predictive control (MPC) solutions. Both linear and nonlinear MPC systems are considered.

Recent Events:

  • Successfully demonstrated limited precision FPGA design for an on-line MPC controller on the cantilevered beam hardware.

  • Successfully implemented Non-linear MPC to control an Inverted Pendulum running at 40Hz (Results here)

  • Hardware design for QP solver successfully matched against the bit-accurate c4Hardware model. Using as few as 6 mantissa bits causes little performance degradation, while allowing for a design that is over 8 times faster than the previous DSP implementation of the same system.
Current Work:
  • Implementation of NLMPC alogrithm in hardware.

  • Continue analysis and optimisation of QP Solver design on cantilevered beam hardware

Contents

Maintained by Dr. Adrian Wills
University of Newcastle
22 Aug 2009, © Copyright