TY - JOUR
T1 - Linear Matrix Inequality approach to designing damping and tracking control for nanopositioning application
AU - Babarinde, Adedayo Kayode
AU - Aphale, Sumeet S.
N1 - This article belongs to the Topic Advances in Piezoelectric/Ultrasonic Sensors and Actuators
Funding Information:
RW reports lecture fees from NovoNordisk and travel grants from Eli Lilly. He served on the advisory board of Akcea Therapeutics. In addition to his current work, ALB reports lecture fees from Astra Zeneca, Boehringer Ingelheim, and NovoNordisk. He served on the advisory boards of Astra Zeneca, Boehringer Ingelheim, and NovoNordisk. Besides his current work, AF reports lecture fees and advisory board membership from Sanofi, Novo Nordisk, Eli Lilly, and AstraZeneca. In addition to his current work, MH reports research grants from Boehringer Ingelheim and Sanofi (both to the University Hospital of Tübingen) and lecture fees from Amryt, Lilly, Novo Nordisk, Sanofi, and Boehringer Ingelheim. He also served on an advisory board for Boehringer Ingelheim. None of the other authors report conflicts of interest directly related to the contents of this work.
Publisher Copyright:
© 2022 by the authors.
PY - 2022/11/29
Y1 - 2022/11/29
N2 - This paper presents a method to extend the eigenstructure assignment based design of the Positive Position Feedback (PPF) damping controller to the family of well-known second-order Positive Feedback Controllers (PFC) namely: (i) the Positive Velocity and Position Feedback (PVPF) and (ii) the Positive Acceleration Velocity and Position Feedback (PAVPF) using appropriate eigenstructure assignment. This design problem entails solving a set of linear equations in the controller parameters using Linear Matrix Inequalities (LMI) to specify a convex design constraint. These damping controllers are popularly used in tandem with a tracking controller (typically an integrator) to deliver high-bandwidth nanopositioning performance. Consequently, the closed-loop performance of all three controllers (PPF, PVPF and PAVPF) employed in tandem with suitably gained integral tracking loops is thoroughly quantified via relevant performance metrics, using measured frequency response data from one axis of a piezo-stack actuated x-y nanopositioner.
AB - This paper presents a method to extend the eigenstructure assignment based design of the Positive Position Feedback (PPF) damping controller to the family of well-known second-order Positive Feedback Controllers (PFC) namely: (i) the Positive Velocity and Position Feedback (PVPF) and (ii) the Positive Acceleration Velocity and Position Feedback (PAVPF) using appropriate eigenstructure assignment. This design problem entails solving a set of linear equations in the controller parameters using Linear Matrix Inequalities (LMI) to specify a convex design constraint. These damping controllers are popularly used in tandem with a tracking controller (typically an integrator) to deliver high-bandwidth nanopositioning performance. Consequently, the closed-loop performance of all three controllers (PPF, PVPF and PAVPF) employed in tandem with suitably gained integral tracking loops is thoroughly quantified via relevant performance metrics, using measured frequency response data from one axis of a piezo-stack actuated x-y nanopositioner.
KW - damping
KW - eigen-vector assignment
KW - linear matrix inequality
KW - nanopositioning
UR - http://www.scopus.com/inward/record.url?scp=85144655918&partnerID=8YFLogxK
U2 - 10.3390/vibration5040050
DO - 10.3390/vibration5040050
M3 - Article
VL - 5
SP - 846
EP - 859
JO - Vibration
JF - Vibration
SN - 2571-631X
IS - 4
ER -