| Abstract | For controlling the DC motor, one important issue is how to get the mathematical model. This is because low accuracy model could affect the high error in motor controlling. Moreover, the design of control parameters for gaining high performance is one of significant factors for reaching the required aims of motor control. This paper presents identification of the optimal mathematical model and controller design for a DC motor by the particle warm optimization (PSO). The procedure of this work consists of three parts. The first part, the second-order transfer function is applied for the motor controlling model. The parameters of the transfer function are optimally identified under the step response of various motor operations. The second part, the transfer function is used to design the controller for motor operation control including the proportional-integral (PI) controller and the controlling parameters obtained by the particle warm optimization. The final part, the PI parameters are applied to control the DC motor by using microcontroller to show the performance of the proposed method. This article includes two experiments; the open-loop test and closed-loop test. The results indicated that the proposed method provided the response similar to the ones obtained from the simulation under several conditions of testing. |
| Item Type | Conference Paper |
| Title | Optimal Mathematical Model Identification and Controller Design using Particle Swarm Optimization for DC Motor Speed Control การระบุแบบจำลองทางคณิตศาสตร์และการออกแบบตัวควบคุมที่เหมาะสมด้วยวิธีกลุ่มอนุภาค สำหรับการควบคุมความเร็วมอเตอร์ไฟฟ้ากระแสตรง |
| Author | ธีรวุฒิ ไชยธรรม ทิวา คำคง |
| Page | 44-54 |
| Date | 2562 |
| Language | Thai |
| URL | https://www.ubu.ac.th/web/files_up/00008f2020032315483471.pdf |
| Tags | Identification, DC motor, Particle Swarm Optimization, PI controller, การระบุแบบจำลองทางคณิตศาสตร์, มอเตอร์ไฟฟ้ากระแสตรง, วิธีกลุ่มอนุภาค, ตัวควบคุมพีไอดี |
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