KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/kmitl/1

Browse

Settings

Author: search.filters.author.Thossansin, ThossapornHas files: No

Search Results

Now showing 1 - 2 of 2
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Hydra Control System
    (2004-12-01)
    Sanornoi, Nitiwat
    ;
    Thossansin, Thossaporn
    ;
    Phurahong, Boonchana
    ;
    Sooraksa, Pitikhate
    This paper reveals Hydra Control System, a control system that contains the parallel and mixture attributes all in oneself. The system is composed of two main principles, Hydra Controller and Waterfall Actuator. Hydra Controller is consisted of various Sub-controllers functioned together. While the Waterfall actuator will be functioning as a signal selector, it will detect the most appropriate signal and transfer to the actual Actuator. The most outstanding of this functioning is the capability of structured adaptation automatically, which enable the system to continue working even with some failure in the sub-controllers or any signal destructed. The system will fail only under circumstance that all sub-controllers are destroyed or failed to its function simultaneously. From this concept, we have carried out an experiment of actual application by the demonstration in the design and the function of this new system which is based on the original algorithm.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Floating robots by fuzzy algorithm
    (2004-12-01)
    Chatpoj, Montri
    ;
    Purahong, Boonchana
    ;
    Thossansin, Thossaporn
    ;
    Sooraksa, Pitikhate
    This paper is talking about using Fuzzy PI controller in order to help controlling the gap in magnetic levitation system (Maglev). The details of this paper concerns about the model of maglev system which is applied to floating robot; it is also about how to use Fuzzy PI controller for assisting the maglev system in order to make this system more accurate and faster. From the simulation which compared the reactions between Fuzzy PI and the original PI, it showed that Fuzzy PI had faster response without swaying the output values while it was reaching the setpoint values. Therefore, the Fuzzy PI is suitable for using to control the Maglev system in floating robot.