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Articles 1 - 7 of 7
Full-Text Articles in Controls and Control Theory
Event And Time-Triggered Control Module Layers For Individual Robot Control Architectures Of Unmanned Agricultural Ground Vehicles, Tyler Troyer
Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research
Automation in the agriculture sector has increased to an extent where the accompanying methods for unmanned field management are becoming more economically viable. This manifests in the industry’s recent presentation of conceptual cab-less machines that perform all field operations under the high-level task control of a single remote operator. A dramatic change in the overall workflow for field tasks that historically assumed the presence of a human in the immediate vicinity of the work is predicted. This shift in the entire approach to farm machinery work provides producers increased control and productivity over high-level tasks and less distraction from operating …
Process Control Laboratory Skid Refurbishment, Danny Crowder
Process Control Laboratory Skid Refurbishment, Danny Crowder
Williams Honors College, Honors Research Projects
This project evaluates a salvaged process control skid for potential refurbishment and educational re-use. In-lab work evaluated the existing skid. Several process control elements have been recommended for replacement, including the process tank (due to corrosion), the pressure transmitter (operability/corrosion), the flow meters (mechanical) and the control system (age). The control valves, temperature elements and transmitters, pump, holding tanks, and the electrical heat exchanger should be salvaged. An I/P converter and pressure relief valve should be added to the pneumatic feed. Enclosing of all electrical components should be prioritized. An electrical schematic for a new control system should be implemented. …
Caddy: A 2005 Roborodentia Entry With Vision And Path Planning Abilities, Taylor Braun-Jones
Caddy: A 2005 Roborodentia Entry With Vision And Path Planning Abilities, Taylor Braun-Jones
Computer Engineering
Roborodentia is an autonomous robotics competition held each year during Cal Poly’s Open House. For the 2005 competition, robot entries needed to navigate a maze searching for three randomly placed golf balls, collect them, and then deposit the balls in the “nest” at the end of the maze. A newly added aspect for the 2005 competition included two bonus balls that were placed on a platform behind the wall in two predetermined corners of the maze.
Caddy is a robot that was entered into the 2005 Roborodentia competition. Caddy included a vision system that allowed searching for balls down untraveled …
Self-Tuning Of Pid Controller For Dc Motor Using Mrac, R.S Naga Kumar Ganugula
Self-Tuning Of Pid Controller For Dc Motor Using Mrac, R.S Naga Kumar Ganugula
R.S Naga Kumar Ganugula
The main objective of this paper is to control the speed
of a separately excited DC motor using a self tuning PID
controller based on Model Reference Adaptive control (MRAC)
approach. This auto tuning controller aims to Tune the
parameters of the PID controller in response to changes in plant
and disturbance real time by referring to the reference model
that specifies the properties of the desired control system.
The simulation results show the effectiveness of the self
tuning controller both in transient and steady state responses
when compared to the fixed parameter PID controller.
Simulation Of Ihrrfpid Controller For Dc-Dc Converter, R.S Naga Kumar Ganugula
Simulation Of Ihrrfpid Controller For Dc-Dc Converter, R.S Naga Kumar Ganugula
R.S Naga Kumar Ganugula
In this paper, an Intelligent Hybrid Reduced Rule Base Fuzzy PID controller (IHRRFPID) is developed for the DC-DC converter. This Hybrid controller is a combination of both PID and Fuzzy logic controller in an intelligent way that depends on a function of actuating error such as ITAE (Integral Time Absolute Error). Moreover, an intelligent switching scheme is induced on the blending mechanism that makes a decision up on the priority of the two controllers, namely the classical PID and the fuzzy constituents. The simulation results shows that the hybrid fuzzy PID controller provides better response in terms of transient and …
Embedded Virtual Machines For Robust Wireless Control And Actuation, Miroslav Pajic, Rahul Mangharam
Embedded Virtual Machines For Robust Wireless Control And Actuation, Miroslav Pajic, Rahul Mangharam
Rahul Mangharam
Embedded wireless networks have largely focused on open-loop sensing and monitoring. To address actuation in closed-loop wireless control systems there is a strong need to re-think the communication architectures and protocols for reliability, coordination and control. As the links, nodes and topology of wireless systems are inherently unreliable, such time-critical and safety-critical applications require programming abstractions and runtime systems where the tasks are assigned to the sensors, actuators and controllers as a single component rather than statically mapping a set of tasks to a specific physical node at design time. To this end, we introduce the Embedded Virtual Machine (EVM), …
Performance Analysis And Validation Of A Recoverable Flight Control System In A Simulated Neutron Environment, Hong Zhang, W. Steven Gray, Oscar R. Gonzalez
Performance Analysis And Validation Of A Recoverable Flight Control System In A Simulated Neutron Environment, Hong Zhang, W. Steven Gray, Oscar R. Gonzalez
Electrical & Computer Engineering Faculty Publications
This paper introduces a class of stochastic hybrid models for the analysis of closed-loop control systems implemented with NASA's Recoverable Computer System. Such Recoverable Computer Systems have been proposed to insure reliable control performance in harsh environments. The stochastic hybrid models consist of either a stochastic finite-state automaton or a finite-state machine driven by a Markov input, which in turn drives a switched linear discrete-time dynamical system. Their stability and output tracking performance are analyzed using an extension of the existing theory for Markov jump-linear systems. For illustration, a stochastic hybrid model is used to calculate the tracking error performance …