Web-based Programmable Logic Controller Learning System
نویسندگان
چکیده
1 Sheng-Jen Hsieh, 3367 TAMU, Texas A&M University, College Station, TX 77843, [email protected] 2 Patricia Yee Hsieh, Texas A&M University System Administrative and General Offices, College Station, TX 77840, [email protected] This material is based upon work supported by the National Science Foundation under Grant No. 0088873 Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. Abstract A web-based learning system is being developed to teach students about programmable logic controllers (PLCs). This system will ultimately incorporate intelligent tutoring system, simulation, animation, and hardware emulation technologies. This article describes the development and evaluation of a prototype lesson on PLC timer instructions. The lesson was developed using an intelligent tutoring system authoring tool, animations, and presentation software. The evaluation was conducted with 90 undergraduate manufacturing engineering students. Students made statistically significant learning gains as a result of taking the lesson, and rated it positively in terms of its ease of use and understanding, clear objectives, amount of interaction, ability to motivate, relevance, and pace.
منابع مشابه
Design and PLC Implementation for Speed Control of DC Motor using Fuzzy Logic
In this article, a speed control of DC motor is designed and illustrated using fuzzy logic-based programmable logic controller (PLC). The DC motor is an attractive part of electrical equipment in many industrial applications requiring variable speed and load specifications due to its ease of controllability. The designed system is consisted of three main parts including programmable logic contr...
متن کاملReinforcement learning based feedback control of tumor growth by limiting maximum chemo-drug dose using fuzzy logic
In this paper, a model-free reinforcement learning-based controller is designed to extract a treatment protocol because the design of a model-based controller is complex due to the highly nonlinear dynamics of cancer. The Q-learning algorithm is used to develop an optimal controller for cancer chemotherapy drug dosing. In the Q-learning algorithm, each entry of the Q-table is updated using data...
متن کاملA rule-based evaluation of ladder logic diagram and timed petri nets for programmable logic controllers
This paper describes an evaluation through a case study by measuring a rule-based approach, which proposed for ladder logic diagrams and Petri nets. In the beginning, programmable logic controllers were widely designed by ladder logic diagrams. When complexity and functionality of manufacturing systems increases, developing their software is becoming more difficult. Thus, Petri nets as a high l...
متن کاملWeb-based Simulations and Intelligent Tutoring System for Programmable Logic Controller
1 Sheng-Jen Hsieh, 3367 TAMU, Texas A&M University, College Station, TX 77843, [email protected] 2 Patricia Yee Hsieh, Texas A&M University System Administrative and General Offices, College Station, TX 77840, [email protected] 3 Dongmin Zhang, Texas A&M University, College Station, TX 77843, [email protected] Abstract A Web-based system that includes educational simulations and an intelligent t...
متن کاملA New Fuzzy Stabilizer Based on Online Learning Algorithm for Damping of Low-Frequency Oscillations
A multi objective Honey Bee Mating Optimization (HBMO) designed by online learning mechanism is proposed in this paper to optimize the double Fuzzy-Lead-Lag (FLL) stabilizer parameters in order to improve low-frequency oscillations in a multi machine power system. The proposed double FLL stabilizer consists of a low pass filter and two fuzzy logic controllers whose parameters can be set by the ...
متن کامل