Suzhou Electric Appliance Research Institute
期刊號: CN32-1800/TM| ISSN1007-3175

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基于模糊自適應(yīng)PID的SRM直接轉(zhuǎn)矩控制系統(tǒng)研究

來源:電工電氣發(fā)布時間:2024-07-03 08:03瀏覽次數(shù):83

基于模糊自適應(yīng)PID的SRM直接轉(zhuǎn)矩控制系統(tǒng)研究

王雷,高亨,崔玉鑫,王育安,吳建昆
(河北科技大學 電氣工程學院,河北 石家莊 050000)
 
    摘 要:針對傳統(tǒng)模糊控制器在控制過程中存在超調(diào)量大、控制精度不高以及靜差等問題,提出了一種基于優(yōu)化模糊自適應(yīng) PID 的開關(guān)磁阻電機控制方法。利用改進蝙蝠算法對模糊控制器進行優(yōu)化,以外環(huán)模糊自適應(yīng) PID 控制器的輸出變量為內(nèi)環(huán)控制系統(tǒng)的參考轉(zhuǎn)矩,送入直接轉(zhuǎn)矩控制系統(tǒng)。仿真結(jié)果表明,經(jīng)過算法優(yōu)化的模糊自適應(yīng) PID 控制器在動態(tài)性能和魯棒性方面明顯優(yōu)于傳統(tǒng)模糊 PID 控制器,成功克服了模糊控制中存在的穩(wěn)態(tài)誤差和抗干擾能力不足的問題,有效解決了系統(tǒng)上升時間和超調(diào)之間的矛盾,同時顯著減少了電機轉(zhuǎn)矩的脈動。
    關(guān)鍵詞: 開關(guān)磁阻電機;模糊自適應(yīng)PID ;改進蝙蝠算法;直接轉(zhuǎn)矩控制
    中圖分類號:TM352 ;TP273+.2     文獻標識碼:A     文章編號:1007-3175(2024)06-0023-06
 
Research on SRM Direct Torque Control System Based on
Fuzzy Adaptive PID
 
WANG Lei, GAO Heng, CUI Yu-xin, WANG Yu-an, WU Jian-kun
(School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang 050000, China)
 
    Abstract: Aiming at the traditional fuzzy controllers in the control process, there were problems such as large overshoot, low control accuracy and static error, a switching reluctance motor control method based on optimize fuzzy adaptive PID was presented. The fuzzy controller was optimized by using improved bat algorithm, and the output variables of the outer loop fuzzy adaptive PID controller is the reference torque of the inner loop control system, which is sent to the direct torque control system. The simulation results showed that the algorithm-optimized fuzzy adaptive PID controller is significantly better than the traditional fuzzy PID controllers in dynamic performance and robustness. It successfully overcomed the problems of steady-state errors and insufficient anti-interference capabilities in fuzzy control, and effectively solved the contradiction between the system rise time and overshoot, and at the same time significantly reduced the pulse of the motor torque.
    Key words: switched reluctance motor; fuzzy adaptive PID; improved bat algorithm; direct torque control
 
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