Frequency domain-based auto tuning controller for plants with uncertainties using well known tuning formulas

IF 1.3 Q4 AUTOMATION & CONTROL SYSTEMS
G. SaravanaKumar, R. Wahidabanu
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引用次数: 0

Abstract

Adaptive control which adequately adjusts controller gains according to the changes in plants, has become attractive in recent years. The controller proposed in this paper is tuned automatically with various tuning formulas based on the results of frequency domain system identification for the plant. The controller first estimates the frequency response of the plant using FFT. The controller gains are automatically tuned so as to minimise the error between the open loop frequency response of the reference model and that of the actual system at a few frequency points. For the three example processes, reference models are derived. The frequency responses of the reference models and that of the actual processes are obtained. The controller gains are determined by applying the least squares algorithm. The responses of the plants are verified in time domain and frequency domain after tuning the I-PD controller.
基于频域的不确定对象自整定控制器
自适应控制是一种根据被控对象的变化充分调整控制器增益的控制方法,近年来受到广泛关注。本文提出的控制器根据被控对象的频域系统辨识结果,采用多种整定公式进行自动整定。控制器首先利用FFT估计被控对象的频率响应。控制器增益自动调谐,以便在几个频率点上最小化参考模型的开环频率响应与实际系统的开环频率响应之间的误差。针对这三个实例过程,推导了参考模型。得到了参考模型和实际过程的频率响应。控制器增益由最小二乘算法确定。对I-PD控制器进行调优后,在时域和频域验证了被控对象的响应。
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来源期刊
International Journal of Automation and Control
International Journal of Automation and Control AUTOMATION & CONTROL SYSTEMS-
自引率
41.70%
发文量
50
期刊介绍: IJAAC addresses the evolution and realisation of the theory, algorithms, techniques, schemes and tools for any kind of automation and control platforms including macro, micro and nano scale machineries and systems, with emphasis on implications that state-of-the-art technology choices have on both the feasibility and practicability of the intended applications. This perspective acknowledges the complexity of the automation, instrumentation and process control methods and delineates itself as an interface between the theory and practice existing in parallel over diverse spheres. Topics covered include: -Control theory and practice- Identification and modelling- Mechatronics- Application of soft computing- Real-time issues- Distributed control and remote monitoring- System integration- Fault detection and isolation (FDI)- Virtual instrumentation and control- Fieldbus technology and interfaces- Agriculture, environment, health applications- Industry, military, space applications
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