Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 28 for “"Fuzzy Controller"”.
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Adaptive Simplified Neuro-Fuzzy Controller as Supplementary Stabilizer for SVC
A simplified version of an Adaptive Neuro-Fuzzy Controller (ANFC) applied to a FACTS device, namely a Static VAr Compensator (SVC), is presented in this dissertation. The proposed Adaptive Simplified Neuro-Fuzzy Controller (ASNFC), used as a supplementary controller to damp power system …
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Fuzzy control and an evaluation of the self-organizing fuzzy controller
Fuzzy control is a rule based type of control that aims to imitate the human's ability to express a control policy using linguistic rules, and to reason using those rules to control a system. Fuzzy control is nonlinear and not dependent on a precise mathematical description of the plant, and is …
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Integrating Collision Avoidance, Lane Keeping, and Cruise Control With an Optimal Controller and Fuzzy Controller
… There are three types of collision avoidance controllers, passive, active, and semi-active. This thesis is designed using active collision avoidance controllers. There are two controllers developed for collision avoidance in this paper. They are an optimal controller and a fuzzy controller. …
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Intelligent control of a class of nonlinear systems
… of this study is to improve and propose new fuzzy control algorithms for a class of nonlinear systems. In order to achieve the objectives, novel stability theorems as well as modeling techniques are also investigated. Fuzzy controllers in this work are designed based on the fuzzy basis …
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Fuzzy Model Reference Learning Control for Smart Lights
… implementation of an adaptive and nonadaptive fuzzy control for a smart light experimental testbed. The objective is to accurately regulate the light level across the experimental testbed to a desired voltage reference value, and to test the performance of the fuzzy controllers under …
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Steering control and Kalman filter position estimation comparison for an autonomous underwater vehicle
… presents a Hierarchical rule-based reduction fuzzy controller as a solution to control systems suffering from noisy feedback and affected by external current flow disturbances. Performance comparisons with LQR and Pure Pursuit controllers show that under these conditions, the hierarchical …
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The application of fuzzy control to fed-batch fermentation
… been hindered. It was decided to investigate fuzzy control as it is able to deal with systems whose operation does not easily fit into the mathematical framework of traditional control approaches such as fermentations where the systems are highly nonlinear. The fermentation of lysine is an …
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Neural networks and fuzzy logic for structural control
… adjustability acquired through utilization of fuzzy logic. This method is classified as a ""learning control method"" with emphasis on the important role of the learning capabilities of the controller. However it can be classified as a smart or an intelligent control method too. This method has …
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A fuzzy logic based approach to quality of service in 802.11b wireless networks
… proposes the redesign of 802.11b gateways using fuzzy logic to include mechanisms that deliver Quality of Service. A fuzzy controller has been developed that implements QoS with CAC, UPC and MPC. This controller was optimised for 802.11b WLANs. Fuzzy logic has been used as a control mechanism for …
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A transputer based prototype for a fuzzy logic controller with tuning and simulation capabilities
… for streamlining development and maintenance of fuzzy logic systems applied to industrial control. That method provides for tuning the rules and parameters for fuzzy control of an industrial process, without interfering in the production process itself. The capability to simulate a real-world …
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Target Tracking from a UAV based on Computer Vision
… and roll angles are calculated from the position controller based on the relative position and velocity between the moving target and the quadrotor. Interface between PC and quadrotor is built by controlling the PWM signals of the transmitter for command transmission. Three types of position …
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The Integration of Explanation-Based Learning and Fuzzy Control in the Context of Software Assurance as Applied to Modular Avionics
… maintaining a safety argument for an adaptive controller. Three areas of work are used to demonstrate the satisfaction of this aim. Explanation-Based Learning (EBL) is proposed for the derivation of new control laws. The EBL domain theory embodies general control strategies, which are …
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Fuzzy control for an under-actuated robotic manipulator : Pendubot
… robot, Pendubot, from the point view of fuzzy logic control. To swing up the Pendubot from a rest position to the upright configuration, a fuzzy algorithm is proposed from non-complete sets of linguistic rules that link some mechanism states to the sign of a single control action. …
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Intelligent Parameter Adaptation for Chemical Processes
… for minimization routines. A decentralized controller is first developed that stabilizes the plant to set point changes and disturbances. Subsequently, a genetic algorithm calculates input parameters of the decentralized controller for minimum operating cost performance. Genetic algorithms …
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Hierarchical Fuzzy Control of the UPFC and SVC located in AEP's Inez Area
… of the world's first Unified Power Flow Controller (UPFC) in 1998. The controllers in the system include the Automatic Voltage Regulators (AVRs) of the generators, the controllers of the SVC, and UPFC. To coordinate the control actions of these controllers and prevent voltage instability …
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Switching control systems and their design automation via genetic algorithms
… is to provide a simple and effective nonlinear controller. Our strategy involves switching the underlying strategies in order to maintain a robust control. If a disturbance moves the system outside the region of stability or the domain of attraction, it will be guided back onto the desired …
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Plasma position control in the STOR-M tokamak : a fuzzy logic approach
… suggests that a control system, such as a fuzzy logic based controller, which does not require a system model may be well suited to the control of fusion plasma. In order to improve the quality of control over the plasma position within the STOR-M tokamak, the existing analog PID controller …
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Analysis and Applications of the Km Algorithm in Type-2 Fuzzy Logic Control and Decision Making
Interval type-2 (IT2) fuzzy logic controller (FLC) is an extension of type-1 (T1) FLC. A large number of experiments have demonstrated that the IT2 FLC can produce more satisfactory performance. However, there has been no rigorous theoretical analysis studying the potential advantage of the IT2 …
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