Comparison of neural and control theoretic techniques for nonlinear dynamic systems
This thesis compares classical nonlinear control theoretic techniques with recently developed neural network control methods based on the simulation and experimental results on a simple electromechanical system. The system has a configuration-dependent inertia, which contributes a substantial nonlinearity. The controllers being studied include PID, sliding control, adaptive sliding control, and two different controllers based on neural networks: one uses feedback error learning approach while the other uses a Gaussian network control method. The Gaussian network controller is tested only in simulation due to lack of time. These controllers are evaluated based on the amount of a priori knowledge required, tracking performance, stability guarantees, and computational requirements. Suggestions for choosing appropriate control techniques to one's specific control applications are provided based on these partial comparison results.
Submitted in partial fulfillment of the requirements for the degree of Master of Science at the Massachusetts Institute of Technology and Woods Hole Oceanographic Institution May 1994
Showing items related by title, author, creator and subject.
Six degree of freedom vehicle controller design for the operation of an unmanned underwater vehicle in a shallow water environment Hajosy, Michael F. (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1994-09)Closed loop control of an unmanned underwater vehicle (UUV) in the dynamically difficult environment of shallow water requires explicit consideration of the highly coupled nature of the governing non-linear equations of ...
Jakuba, Michael V. (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 2003-02)The Sentry AUV represents a radical departure from conventional AUV design, particularly with respect to actuation. The vehicle's combined foil/thruster actuators have the potential to produce a vehicle both maneuverable ...
Reed, Brooks L. (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 2015-02)Real-time cooperation between autonomous vehicles can enable time-critical missions such as tracking and pursuit of a dynamic target or environmental feature, but relies on wireless communications. Underwater communication ...