Print Email Facebook Twitter Implementing Symbolic Controllers into FPGAs Title Implementing Symbolic Controllers into FPGAs Author Rueda Arjona, Antonio (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Mazo, M. (mentor) Mazo, M. (graduation committee) Pan, W. (graduation committee) Kok, M. (graduation committee) Degree granting institution Delft University of Technology Programme Electrical Engineering | Embedded Systems Date 2019-08-29 Abstract Embedded control systems are processor-based systems that need to run an application for an extended amount of time, such as months or years. Typically, they implement a realtime function to control a system. Embedded systems are implemented using hardware and software to perform an specific task. This is why they can be optimized to reduce its size and cost and increase its reliability and performance. In embedded control systems, a discrete time embedded system is controlling a continuous time plant. In order to deal with this complex interactions, there are some tools that synthesize symbolic controllers. However,the size of these controllers is still too large to be widely implemented in embedded systems for real-time applications. Although it is possible to implement them in CPUs with large memory, their time-step is limited by a few GHz. On the other hand, FPGAs can run at a higher frequency (MHz) but they have limited memory. In this project, we propose a tool that automate the process of compressing, determinizing and generating the necessary files to flash a symbolic controller into an FPGA. We propose three different ways of transforming the original controllers and we compare them with another similar tool from the Technische Universität München. We also simulate in real-time the controlled closed-loop of some of those symbolic controllers using a simulated plant to validate the entire process. Subject FPGASymbolic ControlBDDLabVIEW To reference this document use: http://resolver.tudelft.nl/uuid:259c9c49-8dd1-44e5-baa5-c0ef537828ba Part of collection Student theses Document type master thesis Rights © 2019 Antonio Rueda Arjona Files PDF Implementing_Symbolic_Con ... _FPGAs.pdf 1.99 MB Close viewer /islandora/object/uuid:259c9c49-8dd1-44e5-baa5-c0ef537828ba/datastream/OBJ/view