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Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations: translational controller results
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Jani, Yashvant |
| Copyright Year | 1992 |
| Description | The reinforcement learning techniques developed at Ames Research Center are being applied to proximity and docking operations using the Shuttle and Solar Maximum Mission (SMM) satellite simulation. In utilizing these fuzzy learning techniques, we also use the Approximate Reasoning based Intelligent Control (ARIC) architecture, and so we use two terms interchangeable to imply the same. This activity is carried out in the Software Technology Laboratory utilizing the Orbital Operations Simulator (OOS). This report is the deliverable D3 in our project activity and provides the test results of the fuzzy learning translational controller. This report is organized in six sections. Based on our experience and analysis with the attitude controller, we have modified the basic configuration of the reinforcement learning algorithm in ARIC as described in section 2. The shuttle translational controller and its implementation in fuzzy learning architecture is described in section 3. Two test cases that we have performed are described in section 4. Our results and conclusions are discussed in section 5, and section 6 provides future plans and summary for the project. |
| File Size | 6495490 |
| Page Count | 362 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19930013207 |
| Archival Resource Key | ark:/13960/t1zd2v17t |
| Language | English |
| Publisher Date | 1992-11-15 |
| Access Restriction | Open |
| Subject Keyword | Cybernetics Controllers Space Transportation System Flights Attitude Control Algorithms Neural Nets Architecture Computers Spacecraft Docking Solar Maximum Mission Fuzzy Systems Ntrs Nasa Technical Reports ServerĀ (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |