摘要
针对铝合金发动机缸盖产品质量一致性差的问题,建立金属型铸造凝固过程数学模型,得出其具有非线性、强耦合性以及不确定性等特点,利用云模型能够实现定性定量之间的不确定性转换的特点,与PID控制方法相结合,以实现凝固过程最优温度控制。为验证控制算法的优越性,建立温度控制系统试验平台并对人工操作、PID控制以及云模型PID控制算法做对比试验。结果表明,云模型PID具有更良好的跟随能力以及更高的稳定性。
To solve the problems of quality inconsistency of the aluminum alloy engine block,mathematical model with the characteristic of nonlinearity,strong coupling and uncertainty was established for the metal mold casting solidification process.The cloud model can realize the uncertain transformation between qualitative description and quantitative numbers and it is combined with PID control method to achieve the optimal temperature control in the solidification process.To test and verify the superiority of the control algorithm,the temperature control system experimental platform was established to compare tests among the manual operation,PID control and cloud model PID control algorithm.The experimental results reveal that the cloud model PID has an advantage of following ability and stability.
作者
庄祥鹏
樊启高
陆高春
张海
贾捷
Zhuang Xiangpeng;Fan Qigao;Lu Gaochun;Zhang Hai;Jia Jie(College of lnternet of Things,Jiangnan University;Suzhou Mingzhi Technology Co.,Ltd.)
出处
《特种铸造及有色合金》
CAS
CSCD
北大核心
2018年第7期724-728,共5页
Special Casting & Nonferrous Alloys
关键词
凝固过程
不确定性
云模型
PID
推理机制
Solidification Process
Uncertainty
Cloud Model
PID
Reasoning Mechanism