TY - GEN
T1 - Control for MIMO Systems with No Relative Degree
T2 - 14th IEEE International Conference on Control and Automation, ICCA 2018
AU - Ye, Linqi
AU - Zong, Qun
AU - Crassidis, John L.
AU - Tian, Bailing
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/21
Y1 - 2018/8/21
N2 - Output redefinition-based dynamic inversion (ORDI) control is applied to solve the control problem for multi-input-multi-output (MIMO) systems with no relative degree and is compared with the traditional dynamic extension-based dynamic inversion (DEDI) control. A MIMO system has no relative degree if its control matrix is singular, preventing the direct use of the powerful nonlinear control method, dynamic inversion. For this problem, dynamic extension is a traditional solution, which makes dynamic extension at the input side to achieve a relative degree. DEDI results in a fully linearized system of higher order. But the requirement to calculate the higher order derivatives of the output makes it difficult to apply to complex systems. ORDI provides a new solution for the existing problem. It achieves a relative degree by redefinition of a new output, leading to a partially linearized system cascaded with stable zero dynamics. ORDI is much easier to implement for complex systems and reduces the computational burden, though it has some performance limitations. A linear system example along with the application to a hypersonic flight vehicle are provided to illustrate the concept of ORDI and its differences with DEDI.
AB - Output redefinition-based dynamic inversion (ORDI) control is applied to solve the control problem for multi-input-multi-output (MIMO) systems with no relative degree and is compared with the traditional dynamic extension-based dynamic inversion (DEDI) control. A MIMO system has no relative degree if its control matrix is singular, preventing the direct use of the powerful nonlinear control method, dynamic inversion. For this problem, dynamic extension is a traditional solution, which makes dynamic extension at the input side to achieve a relative degree. DEDI results in a fully linearized system of higher order. But the requirement to calculate the higher order derivatives of the output makes it difficult to apply to complex systems. ORDI provides a new solution for the existing problem. It achieves a relative degree by redefinition of a new output, leading to a partially linearized system cascaded with stable zero dynamics. ORDI is much easier to implement for complex systems and reduces the computational burden, though it has some performance limitations. A linear system example along with the application to a hypersonic flight vehicle are provided to illustrate the concept of ORDI and its differences with DEDI.
UR - https://www.scopus.com/pages/publications/85053164541
U2 - 10.1109/ICCA.2018.8444248
DO - 10.1109/ICCA.2018.8444248
M3 - Conference contribution
AN - SCOPUS:85053164541
SN - 9781538660898
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 751
EP - 756
BT - 2018 IEEE 14th International Conference on Control and Automation, ICCA 2018
PB - IEEE Computer Society
Y2 - 12 June 2018 through 15 June 2018
ER -