Adaptive Fuzzy Proportional Integral Sliding Mode Control for Two-Tank Interacting System

IF 0.9 Q3 ENGINEERING, MULTIDISCIPLINARY
Thanh Tung Pham, C. Nguyen
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引用次数: 2

Abstract

This paper presents an adaptive fuzzy proportional integral sliding mode control (AFPISMC) for two-tank interacting system (TTIS). In order to maintain the desired liquid level of the TTIS and meet the reference values for attenuated chattering problems, this paper proposes a combination of a sliding mode control (SMC) with a proportional integral (PI) sliding surface and a fuzzy inference system. Fuzzy logic and the universal approximation theorem of fuzzy systems are used to approximate the uncertain function in the PISMC. The stability of the control system is proved by the Lyapunov theory. The simulation results of the proposed method in MATLAB/Simulink were compared to a fuzzy control, a sliding mode control with conditional integrals, a fuzzy-PID control, and a conventional PID control. The comparison results showed that the proposed controller was most effective when the rising time reached 0.2375 s, the percent of overshoot was 0%, the steady state error converged to zero, the settling time was 0.4612 s, and chattering was reduced.
双油箱交互系统的自适应模糊比例积分滑模控制
针对两坦克交互系统(TTIS),提出了一种自适应模糊比例积分滑模控制方法。为了保持TTIS的期望液位并满足衰减抖振问题的参考值,本文提出了一种具有比例积分(PI)滑动面的滑模控制(SMC)和模糊推理系统的组合。模糊逻辑和模糊系统的普遍逼近定理被用来逼近PIMC中的不确定函数。用李雅普诺夫理论证明了控制系统的稳定性。将所提出的方法在MATLAB/Simulink中的仿真结果与模糊控制、带条件积分的滑模控制、模糊PID控制和传统PID控制进行了比较。比较结果表明,当上升时间达到0.2375s,超调率为0%,稳态误差收敛到零,稳定时间为0.4612s,抖振减小时,该控制器的效果最好。
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来源期刊
Journal of Engineering and Technological Sciences
Journal of Engineering and Technological Sciences ENGINEERING, MULTIDISCIPLINARY-
CiteScore
2.30
自引率
11.10%
发文量
77
审稿时长
24 weeks
期刊介绍: Journal of Engineering and Technological Sciences welcomes full research articles in the area of Engineering Sciences from the following subject areas: Aerospace Engineering, Biotechnology, Chemical Engineering, Civil Engineering, Electrical Engineering, Engineering Physics, Environmental Engineering, Industrial Engineering, Information Engineering, Mechanical Engineering, Material Science and Engineering, Manufacturing Processes, Microelectronics, Mining Engineering, Petroleum Engineering, and other application of physical, biological, chemical and mathematical sciences in engineering. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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