Linear control system optimization using a model-based index of performance
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Linear control system optimization using a model-based index of performance
- Publication date
- 1964
- Topics
- Feedback control systems
- Collection
- navalpostgraduateschoollibrary; fedlink
- Language
- English
This paper deals with a method of optimizing the free coefficients
in the characteristic equation of a linear feedback control
system. The optimization is carried out by minimizing an index
of performance associated with the system's response to a given
test disturbance.
The index of performance is the integral of a quadratic function
of the system state variables. The structure of the index
rests upon a logical interpretation of the regulator nature of the
control problem. The index for an tr— order system contains n
I'll
weighting factors whose values are determined from an n-~- order
model system. This determination is such that the optimization
of a completely free system will yield the model system. A system
with fewer than n degrees of freedom in the state variable
feedbacks may be optimized with respect to the free feedback coefficients,
yielding a system whose dynamic response to a given
disturbance is, for this optimization scheme, a best approximation
to that of the model.
Examples are presented for illustration of the salient features
of the method. It is also shown by example that systems with
closed- loop zeros may be optimized by this method.
The author wishes to thank Dr. Harold A. Titus for his guidance
in this investigation.
in the characteristic equation of a linear feedback control
system. The optimization is carried out by minimizing an index
of performance associated with the system's response to a given
test disturbance.
The index of performance is the integral of a quadratic function
of the system state variables. The structure of the index
rests upon a logical interpretation of the regulator nature of the
control problem. The index for an tr— order system contains n
I'll
weighting factors whose values are determined from an n-~- order
model system. This determination is such that the optimization
of a completely free system will yield the model system. A system
with fewer than n degrees of freedom in the state variable
feedbacks may be optimized with respect to the free feedback coefficients,
yielding a system whose dynamic response to a given
disturbance is, for this optimization scheme, a best approximation
to that of the model.
Examples are presented for illustration of the salient features
of the method. It is also shown by example that systems with
closed- loop zeros may be optimized by this method.
The author wishes to thank Dr. Harold A. Titus for his guidance
in this investigation.
- Addeddate
- 2021-02-02 08:41:32
- Corporate
- Naval Postgraduate school
- Degree_discipline
- Electrical Engineering
- Degree_grantor
- Naval Postgraduate School
- Degree_level
- Doctoral
- Degree_name
- Ph.D. in Electrical Engineering
- Department
- Dept. of Electrical Engineering
- Distributionstatement
- Approved for public release; distribution is unlimited.
- Dspace_note
- Note, the Item of Record as published can be found at https://hdl.handle.net/10945/12557.
- Identifier
- linearcontrolsys1094512557
- Identifier-ark
- ark:/13960/t8hf7xz4f
- Identifier_handle
- 10945/12557
- Item_source
- dspace
- Ocr
- tesseract 5.0.0-rc2-1-gf788
- Ocr_detected_lang
- en
- Ocr_detected_lang_conf
- 1.0000
- Ocr_detected_script
- Latin
- Ocr_detected_script_conf
- 1.0000
- Ocr_module_version
- 0.0.14
- Ocr_parameters
- -l eng
- Orig_md5
- 4c5700e7af0aed11fb151fb6e6067913
- Pages
- 129
- Ppi
- 600
- Rights
- This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
- Scanner
- Internet Archive Python library 1.8.1
- Type
- Thesis
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