Most of the mechatronics equipments and gadgets that we all nowadays rely on incorporate some kind of multidimensional human-machine systems. There is an increasing concern for improving the usability, performance, ergonomics and safety of such devices, and ultimately this will lead to the mass-production of next-generation intelligent machines, which will be capable to assist the human operator and to reduce the global effort by estimating and measuring its skills. This ongoing work introduces a novel human-machine multi-dynamic modeling methodology which can be applied on the development of these Human Adaptive Mechatronic (HAM) machines, able to adapt to the skill/dexterity levels of its users, and to enhance Human’s proficiency. As a new strategy for model development, a number of two-dimensional independent pursuit manual tracking experiments are evaluated. A human-machine state-space linear model is obtained and successfully applied to design an improved closed-loop multivariable control structure.
|Title of host publication||IFIP Advances in Information and Communication Technology|
|Publication status||Published - 1 Jan 2012|
|Event||3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems - |
Duration: 1 Jan 2012 → …
|Conference||3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems|
|Period||1/01/12 → …|
Coito, F. J. A. V. D., & DEE Group Author (2012). Improving Operator Performance through the Use of a Multivariable Human-Machine Control Strategy. In IFIP Advances in Information and Communication Technology (Vol. 372, pp. 95-104) https://doi.org/10.1007/978-3-642-28255-3_11