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Optimal control of systems with capacity: related noises
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Choudhury, Ajit K. Ruan, Milfang |
| Copyright Year | 1991 |
| Description | In the ordinary theory of optimal control (LQR and Kalman filter), the variances of the actuators and the sensors are assumed to be known (not related to the capacities of the devices). This assumption is not true in practice. Generally, a device with greater capacity to exert actuating forces and a sensor capable of sensing greater sensing range will generate noise of greater power spectral density. When the ordinary theory of optimal control is used to estimate the errors of the outputs in such cases it will lead to faulty results, because the capacities of such devices are unknown before the system is designed. The performance of the system designed by the ordinary theory will not be optimal as the variances of the sensors and the actuators are neither known nor constant. The interaction between the control system and structure could be serious because the ordinary method will lead to greater feedback (Kalman gain) matrices. Methods which can optimize the performance of systems when noises of the actuators and the sensors are related to their capacities are developed. These methods will result in smaller feedback (Kalman gain) matrix. |
| File Size | 299394 |
| Page Count | 12 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19910012997 |
| Archival Resource Key | ark:/13960/t4gn33v87 |
| Language | English |
| Publisher Date | 1991-03-01 |
| Access Restriction | Open |
| Subject Keyword | Cybernetics Actuators Power Spectra Control Systems Design Optimal Control Control Theory Feedback Control Noise Generators Kalman Filters Noise Spectra Linear Quadratic Regulator Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
