%P 1107-1110
%A T.C.S. Wibowo
%A N. Saad
%A M.N. Karsiti
%T The simulation of MISO MPC for gaseous pilot plant control with presence of measurement noise
%C Kuala Lumpur
%J 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007
%L scholars148
%O cited By 0; Conference of 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007 ; Conference Date: 25 November 2007 Through 28 November 2007; Conference Code:74506
%R 10.1109/ICIAS.2007.4658556
%D 2007
%K Acoustic noise; Constrained optimization; Constraint theory; Identification (control systems); Modulation; Pilot plants; Predictive control systems; Spurious signal noise, Constrained optimization techniques; Control laws; Gaseous pilot plant; Linear approximations; Measurement noise; MPC; Noisy measurement datums; Plant controls; Process models; Pseudo random binary signals; Quadratic programming algorithms; Simulation results; Steady states; Subspace system identifications, Model predictive control
%X This study focuses on pressure control in gaseous pilot plant using model predictive control (MPC) algorithm which consists of multi-input and measurement noise. The applicated MPC uses linear approximation. Process model is obtained from subspace system identification method with amplitude modulation pseudo random binary signal (APRBS) inputs, and its control law is derived from constrained optimization technique with quadratic programming algorithm. Simulation results demonstrated the necessity to pay attention to controller aggressivity by tuning the controller weights and apply a filter due to the noisy measurement data to prevent the oscillation of actuator in steady state condition. ©2007 IEEE.