Design of Digital PID Controllers using Particle Swarm Optimization: A Video Based Teaching Experiment

P.B. de Moura Oliveira

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Design of Digital PID Controllers using Particle Swarm Optimization: A Video Based Teaching Experiment

机译：基于粒子群算法的数字PID控制器设计：基于视频的教学实验

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The use of videos is a valuable and powerful tool which may significantly contribute to change and improve teaching and learning methods. Lecturers can made their own videos addressing specific topics suitable to fulfill their student’s needs. These videos can address control engineering syllabus as well as complementary topics. This paper proposes using video as a tool to introduce the particle swarm optimization algorithm to students within a digital PID control simulation experiment. The experience preliminary results and feedback received from students are quite positive.

机译：视频的使用是一种宝贵而强大的工具，可能会极大地改变和改进教学方法。讲师可以制作自己的视频，以解决满足学生需求的特定主题。这些视频可以解决控制工程课程纲要以及补充性主题。本文提出以视频为工具，在数字PID控制仿真实验中向学生介绍粒子群优化算法。经验的初步结果和从学生那里得到的反馈都是非常积极的。

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《IFAC PapersOnLine》 |2018年第4期|共6页
作者
P.B. de Moura Oliveira;
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中图分类自动化技术、计算机技术;
关键词
PID ControlVideosSwarm OptimizationInternet based learning;

机译：PID控制视频群优化基于Internet的学习;

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1. Tuning of Digital PID Controllers Using Particle Swarm Optimization Algorithm for a CAN-Based DC Motor Subject to Stochastic Delays [J] . Qi Zhi, Shi Qian, Zhang Hui IEEE Transactions on Industrial Electronics . 2020,第7期

机译：使用粒子群优化算法调整数码PID控制器，用于将基于CAN的直流电动机进行随机延迟
2. Optimization design on fractional order PID controller based on adaptive particle swarm optimization algorithm [J] . Liu Xiaoyong Nonlinear dynamics . 2016,第1期

机译：基于自适应粒子群算法的分数阶PID控制器优化设计
3. Optimization Design Of Proportional-integral Controllers In High-voltage Dc System Based On An Improved Particle Swarm Optimization Algorithm [J] . XIAOFA ZHOU, CHEN CHEN, FAN YANG, Electric Power Components and Systems . 2009,第1期

机译：基于改进粒子群算法的高压直流系统比例积分控制器优化设计
4. Design of Digital PID Controllers using Particle Swarm Optimization: A Video Based Teaching Experiment [C] . P. B. de Moura Oliveira IFAC Conference on Advances in Proportional-Integral-Derivative Control . 2018

机译：粒子群优化数字PID控制器的设计：基于视频的教学实验
5. Controller design for a tri-turbofan airship system based on particle swarm optimization algorithm & neural network technology. [D] . Jia, Ruting. 2008

机译：基于粒子群算法和神经网络技术的三涡扇飞艇系统控制器设计。
6. Adaptive vehicle extraction in real-time traffic video monitoring based on the fusion of multi-objective particle swarm optimization algorithm [O] . Shijun Yu, Shejun Deng -1

机译：基于多目标粒子群算法融合的实时交通视频监控自适应车辆提取
7. The Optimization Design of PID Controller Parameters Based On Particle Swarm Optimization [O] . Zhaosheng LI 2016

机译：基于粒子群优化的PID控制器参数的优化设计

Design of Digital PID Controllers using Particle Swarm Optimization: A Video Based Teaching Experiment

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