Title :
Exact linearization by feedback of state dependent parameter models applied to a mechatronics demonstrator
Author :
Shaban, E.M. ; Nada, Ayman A. ; Taylor, Camillo J.
Author_Institution :
Mech. Eng. Dept., Jazan Univ., Jazan, Saudi Arabia
Abstract :
The paper develops an exact linearization by feedback approach for State Dependent Parameter (SDP), Proportional-Integral-Plus (PIP) control. The method is demonstrated using a simple automated belt driven by a DC motor equipped with a single board Reconfigurable Input-Output (sbRIO-9631) card, within a Field Programmable Gate Array (FPGA), and with a real time processor for control. The demonstrator is first modeled using a discrete-time SDP model structure, in which the parameters are functionally dependent on measured system states. An exact linearization step returns a linear model with unity coefficients, which is subsequently used to design a PIP control algorithm based on linear system design strategies, including pole assignment and optimal linear quadratic design. Preliminary experimental results demonstrate that the new approach yields an acceptable control performance for the nonlinear system.
Keywords :
DC motors; PI control; belts; control engineering computing; control system synthesis; discrete time systems; feedback; field programmable gate arrays; linear quadratic control; linear systems; linearisation techniques; mechanical engineering computing; mechatronics; microprocessor chips; nonlinear control systems; pole assignment; DC motor; FPGA; PIP control algorithm; SDP; automated belt; discrete-time SDP model structure; exact linearization step; feedback approach; field programmable gate array; linear system design strategies; mechatronics demonstrator; nonlinear system; optimal linear quadratic design; pole assignment; proportional-integral-plus control; real time processor; sbRIO-9631; single board reconfigurable input-output card; state dependent parameter models; system state measurement; unity coefficients; Control design; Equations; Mathematical model; Mechatronics; Nonlinear systems; Vectors; discrete-time nonlinear system; linearization by local coordinate transformation; proportional-integral-plus (PIP) control; state dependent parameter (SDP) model;
Conference_Titel :
Control (CONTROL), 2014 UKACC International Conference on
Conference_Location :
Loughborough
DOI :
10.1109/CONTROL.2014.6915209