A design technique for the incomplete state feedback problem in multivariable control systems

✍ Scribed by E.J. Davison; R.W. Goldberg

• Publisher: Elsevier Science
• Year: 1969
• Tongue: English
• Weight: 663 KB
• Volume: 5
• Category: Article
• ISSN: 0005-1098
• DOI: 10.1016/0005-1098(69)90075-2

✦ Synopsis

7he problem of determining what variables are the more important to measure in a linear time-invariant multivariable system with linear time-invariant incomplete state feedback is considered.

Summary--The problem of choosing the "best" state variables to measure from a set of measurable state variables in a linear, time-invariant multivariable system with linear time-invariant incomplete state feedback is considered. An extension of Rosenbrock's Modal Analysis Technique is used. Essentially, the method is as follows • A measurement matrix C' consisting of I dominant eigenvectors of the transpose of the system matrix A is found, implying that all states of the system are measured. An approximate measurement matrix is then found so that those states which contribute negligibly to C'x and so that those states which cannot be physically measured are eliminated. This means that only the more significant states which contribute to the measurement of the l dominant modes of the system are retained. Experimental results, should be obtained by computer simulation, are given for two high-order systems--a Boiler System (9th order) and a Nuclear Reactor (1 lth order).