论文部分内容阅读
在冷轧板带生产的厚控中,针对液压APC(Automation Position Control)系统复杂度高、特性易漂移等特点,提出了一种基于差分进化算法(Differential Evolution Algorithm)与模糊控制相结合的在线PI自调节控制器。为提高算法智能程度,采用基于个体健康值(Health Value)自调整的变异比例因子,并且采用多指标加权函数作为适应度函数;同时,为提高系统的鲁棒性,采用模糊控制对PI控制器进行后续调整,以改善由于系统特性漂移而产生的响应特性变差的情况。同时,分析了冷轧APC系统的原理及组成,建立了液压APC系统数学模型,搭建模拟电路作为被控对象。将混合算法进行CFC(Continuous Functional Chart)编程,得到基于DE-fuzzy混合算法的PI参数在线寻优-自调整控制器。将上述控制器在西门子FM458平台上进行实验研究,结果表明,DE-fuzzy的PI参数在线寻优-自调整控制器具有较高的智能性、鲁棒性和实用价值。
In the thick control of cold rolled strip production, aiming at the characteristics of high precision and easy drifting of hydraulic position control system (APC), a new method based on Differential Evolution Algorithm (FPA) and fuzzy control PI self-regulating controller. In order to improve the intelligence degree of the algorithm, a self-adjusting mutation scale factor based on the Health Value is adopted, and a multi-indicator weighting function is adopted as a fitness function. Meanwhile, in order to improve the robustness of the system, fuzzy control is adopted to control the PI controller Subsequent adjustments are made to improve the deterioration of the response characteristics due to drift in system characteristics. At the same time, the principle and composition of the cold-rolled APC system are analyzed. The mathematical model of the hydraulic APC system is established, and the analog circuit is set up as the controlled object. The mixed algorithm is programmed by CFC (Continuous Functional Chart) to get the online optimization of PI parameters based on DE-fuzzy hybrid algorithm - self-tuning controller. The experimental results of the above controller on Siemens FM458 platform show that the PI optimization of DE-fuzzy is optimized online - that the self-tuning controller has higher intelligence, robustness and practical value.