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机构地区:[1]浙江台州职业技术学院自动化研究所,浙江台州318000 [2]浙江嘉兴职业技术学院机电与汽车分院,浙江嘉兴314036
出 处:《热能动力工程》2016年第5期141-145,160,共5页Journal of Engineering for Thermal Energy and Power
基 金:浙江省科技厅公益技术研究工业项目(2015C31132);浙江省自然基金项目(LY14E050001)
摘 要:电导热油炉一般采用常规PID控制,由于温控系统非线性、大滞后、时变性等特点,且受外界干扰因素较为复杂,其控制模型极难确定,导致PID参数值选择既复杂,又无法使调节速度、超调和静差等指标得到最佳匹配。在分析典型温度曲线与PID控制参数之间的内在关系的基础上,提出了一种根据模糊推理实现PID参数在线整定的通用型模糊自寻优PID控制器,较好地实现了不同工况下系统对响应速度、控制精度和静差的要求。通过对多种控制方法的Matlab仿真、分析并应用于模拟电加热导热油炉中的实验测量,验证了模糊自寻优PID控制器在调节时间、超调和静差等方面的优势,这种方法对温控系统有一定的普遍意义。The electrically heated heat conduction heaters usually adopt conventional PID control. Because of the temperature control systems featuring non-linear,big lagging and time-variation etc. and sophisticated factors interfered by the outside world,it is extremely difficult to determine the control model and the selection of the parameter values for the PID control is not only complex but also incapable of obtaining an optimum matching among the regulation speed,overshoot and static state difference etc. indexes. On the basis of the intrinsic relationship between the typical temperature curves and the PID control parameters being analyzed,a general-purpose type fuzzy self-optimizationsearching PID controller was proposed,thus better meeting the requirements of the system for the response speed,control precision and static state difference under various operating conditions. Through a simulation of multiple control methods by using the software Matlab,an analysis and application in the experimental measurement in the electrically heated heat conduction heater simulated,it has been verified that the fuzzy self-optimization-searching PID controller has its cutting edge in terms of the regulation time,overshoot and static stage difference etc. The methodunder discussion is of a major significance to temperature control systems in a common sense.
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