Relativity and control theory for Robotic exploration of the universe
The primary objective of this effort is to create a set of engineering design curves as applied to the general problem of telerobotics for space exploration. In particular, the engineering design curves will address the total amount of information needed / available to perform a telerobotic mission as a function of the robotic system’s on-board processing power / capabilities, its communication bandwidth / communication system, the time delay during operations (including blackouts) and the probability of error / failure modes for the given system. These engineering design curves shall then be used to assess the various telerobotic design concepts / architectures as a method for selecting those technologies with the most promise for achieving advanced telerobotic missions with a given c-SWaP (cost, size, weight and power) associated with the various classes of NASA’s science missions
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Universal Damping Coefficients, an electron beam experiment on the ISS
Assuming a zero-G (gravity) scenario (e.g. on board the International Space Station), consider a single electron trapped inside a negatively charged box. At rest, the electron will remain in the middle of the box equally repelled from all sides. Now assume the box is shaking in a manner that the election begins to vibrate (rattle) inside the box. Question 1) could you ever get the election to vibrate, or would it move in perfect harmony with the box? Question 2) if you were able to get the election to vibrate, would it continue to vibrate forever, or would its oscillations slowly dampen out once the box stops shaking? Question 3) if the election’s oscillations did slowly dampen out, why?
This thought exercise / zero-G experiment addressed the potential existence of a universal dampening coefficient. This universal dampening coefficient would extend Newtons first law (a body in motion stays in motion) for objects in non-linear (oscillatory) motion.
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Universal Control theory (a twin turbo approach)
The art of control theory is knowing what to include and what to leave out of the system design. These are things that are not easily known. Often times mathematical models are constructed for the system to be controlled, and these models are developed and modified using prior experience with similar systems. It is not an exact science, and one is never sure if they are truly sensing what needs to be monitored or correctly reacting to the changes in one’s environment.
Our Universal Control Theory (UControlT) research focuses on methods for optimizing: 1) system sensing, 2) system reactions, & 3) system feedback. This general approach relies less on system mathematical models and more on determining the key characteristics of the system. Because these key characteristics are continuously monitored, the system responses can be modified to account for unexpected changes in the environment, system aging / degradation and system faults.
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Genetic / DNA based Feedback systems
With the mapping of the human genome, and the many advances made in cellular / micro-biology, a slow but steady understanding of how our DNA creates us (and maintains us) is coming to light. Unfortunately, the DNA processes are not straight forward. Many of the body’s control processes are statistical in nature, utilizing feedback control that has probabilistic outcomes (ranges of likelihood to happen). Furthermore, the DNA processes are not linear. Portions of the same control process can and are used in different ways during different environmental situations and at different times in a life cycle. Finally, the overall DNA control process has a self-building / creation architecture (much like the “boot” process of common computers) where layers of new control systems are put into place only after prior ones have become operational. While complex, all these control processes can be effectively and efficiently modeled numerically to provide significant insight as to how our DNA creates us from simple molecules / atoms.
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