Research output: Contribution to Journal/Magazine › Conference article › peer-review
Research output: Contribution to Journal/Magazine › Conference article › peer-review
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TY - JOUR
T1 - True digital control. A unified design procedure for linear sampled data control systems
AU - Young, P. C.
AU - Chotai, A.
AU - Tych, W.
PY - 1991
Y1 - 1991
N2 - The paper describes the True Digital Control (TDC) design philosophy for linear, single input, single output (SISO) systems described by the backward shift (z-1) and delta (δ) operator transfer function model; and outlines a Computer Aided Control System Design (CACSD) procedure based upon this design philosophy. The control system design analysis used in the CACSD procedure is based on the definition of suitable Non-Minimum State Space (NMSS) forms for the z-1 and δ models, which allow for state variable feedback (SVF) control involving only the measured input and output variables, together with their stored past values. The resulting 'Proportional-Integral-Plus' (PIP) control systems then provide either SVF pole assignment control or optimal LQG control without resort to the complexity of state reconstructor (observer) design. The paper outlines the major stages in the TDC design: from model identification and parameter estimation; through PIP control system design and the evaluation of these designs in the presence of uncertainty, to their implementation in fixed gain, self-tuning of self-adaptive form.
AB - The paper describes the True Digital Control (TDC) design philosophy for linear, single input, single output (SISO) systems described by the backward shift (z-1) and delta (δ) operator transfer function model; and outlines a Computer Aided Control System Design (CACSD) procedure based upon this design philosophy. The control system design analysis used in the CACSD procedure is based on the definition of suitable Non-Minimum State Space (NMSS) forms for the z-1 and δ models, which allow for state variable feedback (SVF) control involving only the measured input and output variables, together with their stored past values. The resulting 'Proportional-Integral-Plus' (PIP) control systems then provide either SVF pole assignment control or optimal LQG control without resort to the complexity of state reconstructor (observer) design. The paper outlines the major stages in the TDC design: from model identification and parameter estimation; through PIP control system design and the evaluation of these designs in the presence of uncertainty, to their implementation in fixed gain, self-tuning of self-adaptive form.
UR - http://www.scopus.com/inward/record.url?scp=0025796071&partnerID=8YFLogxK
U2 - 10.1007/bfb0003814
DO - 10.1007/bfb0003814
M3 - Conference article
AN - SCOPUS:0025796071
VL - 158
SP - 71
EP - 109
JO - IEEE Transactions on Control Systems Technology
JF - IEEE Transactions on Control Systems Technology
SN - 1063-6536
T2 - Advanced Methods in Adaptive Control for Industrial Applications
Y2 - 14 May 1990 through 16 May 1990
ER -