中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Self-tuning PID based on adaptive genetic algorithms with the application of activated sludge aeration process

文献类型:会议论文

作者Zhang P(张平); Yuan MZ(苑明哲); Wang H(王宏)
出版日期2006
会议名称6th World Congress on Intelligent Control and Automation
会议日期June 21-23, 2006
会议地点Dalian, China
关键词adaptive genetic algorithm Ziegler-Nichols internal model control Kappa-tau activated sludge aeration process
页码9327-9330
通讯作者张平
中文摘要Activated sludge aeration process is a non-linear system subject to large perturbations in flow and load, together with uncertainties on the composition of the incoming wastewater. Traditional PID control lacks the ability to overcome these disturbances. In order to achieve adaptive process performances, an adaptive genetic algorithm (AGA) was proposed to tune the parameters of an activated sludge aeration PID controller. Several self-tuning algorithms, specifically Ziegler-Nichols (Z-N), internal model control (IMC) and Kappa-tau were also applied in order to tune an activated sludge aeration PID controller. Performance results of these controllers were compared by simulation with those obtained by using an adaptive genetic algorithm (AGA) to tune PID controller. By comparing, the proposed algorithm, which is used to tune the parameters of PID controller, achieves satisfactory response of a PID controller actuating over the aeration process in an activated sludge process.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者Dalian Univ Technol, Northeastern Univ, Dalian Maritime Univ, Shanghai Baosight Software Co Ltd, IEEE Robot & Automat Soc, Natl Nat Sci Fdn China, Chinese Assoc Automat, IEEE Control Syst Soc, Beijing Chapter, Minist Educ China, Grandar Robot Co Ltd, Yokogawa Elect Corp, KC Wong Educ Fdn, Siemens Ltd
会议录WCICA 2006: Sixth World Congress on Intelligent Control and Automation, Vols 1-12, Conference Proceedings
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号1-4244-0331-6
WOS记录号WOS:000241773209302
源URL[http://ir.sia.cn/handle/173321/8127]  
专题沈阳自动化研究所_工业信息学研究室_工业控制系统研究室
推荐引用方式
GB/T 7714
Zhang P,Yuan MZ,Wang H. Self-tuning PID based on adaptive genetic algorithms with the application of activated sludge aeration process[C]. 见:6th World Congress on Intelligent Control and Automation. Dalian, China. June 21-23, 2006.

入库方式: OAI收割

来源:沈阳自动化研究所

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