scholarly journals Proportional-Integral passivity-based control design of perturbed non-standard Hamiltonian systems

2021 ◽  
Vol 54 (19) ◽  
pp. 19-24
Author(s):  
Thanh Sang Nguyen ◽  
Ngoc Ha Hoang ◽  
Chee Keong Tan ◽  
Mohd Azlan Bin Hussain
2021 ◽  
Vol 410 ◽  
pp. 126467
Author(s):  
M. Vijayakumar ◽  
R. Sakthivel ◽  
Ardashir Mohammadzadeh ◽  
S.A. Karthick ◽  
S. Marshal Anthoni

2008 ◽  
Vol 53 (11) ◽  
pp. 2527-2542 ◽  
Author(s):  
Romeo Ortega ◽  
Arjan van der Schaft ◽  
Fernando Castanos ◽  
Alessandro Astolfi

2021 ◽  
Vol 59 (1) ◽  
pp. 96
Author(s):  
Ha Ngoc Hoang ◽  
Quyen Phuong Le ◽  
Thuan Chi Nguyen

This work deals with systems whose dynamics are affine in the control input. Such dynamics are considered to be significantly differentially expressed in a canonical form, namely the quadratic (pseudo) port-Hamiltonian representation, in order to explore further some structural properties usable for the tracking-error passivity-based control design. Different kinds of linear and nonlinear engineering systems including an open isothermal homogeneous system and a continuous biochemical fermenter are used to illustrate the approach.


Author(s):  
Matías Nacusse ◽  
Alejandro Donaire ◽  
Sergio Junco

"This paper contributes a passivity-based approach to obtain a control law that robustifies Port-Hamiltonian (pH) control systems under external and state-dependent disturbances using disturbance observers (DO). A twostage design procedure is used to define the Disturbance Observed Based Control (DOBC) scheme. In the first stage a passivity based control law, called Interconnection and Damping assignment (IDA-PBC) is designed in the Bond Graph (BG) domain via BG prototyping, using an undisturbed model of the physical system. This stage is not the main issue of this paper and therefore the IDA-PBC law will be assumed to be known. The second stage, the main result of this paper, consists in the design of the DO and its integration with the IDA-PBC control law. The DO is derived in the BG domain via the integration of the residual signal computed from a Diagnostic Bond Graph (DBG). The methodology is developed through examples in the BG domain and formalized and extended in the pH framework."


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