Simulation is vital to confirming underlying assumptions about dynamic behaviour and forms the basis for improving designs.
We can best achieve the required behaviour through changes in the mechanical, hydraulic, electrical systems or control code. Because of this, we need to take a systems approach to improvements. This also supports the design of more intelligent machines, robots and autonomous systems.
We have developed a method for the automated generation and analysis of design variants of a dynamic system, given some desired dynamic specifications. It takes advantage of the unified representation of dynamic systems provided by bond graph techniques combined with systems inversion and genetic algorithms.
Download our current and recently completed research projects in robotics, mechatronics and systems research.
|Name||Year of award||Thesis title|
|Samuel Jiménez||2016||Internal sensing and actuation topologies for active rotors.|
|Jawaad Bhatti||2016||Foot placement for running robots|
|Nathan Sell||2015||Control of a fast switching valve for digital hydraulics|
|Zhenyu Du||2014||Position and force control of cooperating robots using inverse dynamics|
|Fred Berg||2013||Principles for aircraft exergy mapping|
|Becky Margetts||2013||Modelling & analysis of hybrid dynamic systems using a bond graph approach|
|Katherine Griffiths||2012||An improved method for simulation of vehicle vibration using a journey database and wavelet analysis for the pre-distribution testing of packaging|