2005
DOI: 10.1016/j.chaos.2004.12.013
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Adaptive robust PID controller design based on a sliding mode for uncertain chaotic systems

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Cited by 132 publications
(74 citation statements)
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“…The main advantage of the SMC method is its robustness against parameter variations and external disturbances. Therefore, combining an adaptive SMC with a PID controller (ASMPID) is an intelligent choice for updating PID gains and adapting to non-linear systems [18] and [19]. Here, we propose an ASMPID controller to investigate the ram body position of a servo-based broaching machine (Fig.…”
Section: Controller Designmentioning
confidence: 99%
“…The main advantage of the SMC method is its robustness against parameter variations and external disturbances. Therefore, combining an adaptive SMC with a PID controller (ASMPID) is an intelligent choice for updating PID gains and adapting to non-linear systems [18] and [19]. Here, we propose an ASMPID controller to investigate the ram body position of a servo-based broaching machine (Fig.…”
Section: Controller Designmentioning
confidence: 99%
“…In recent years, some methods are applied for the position control of DC motors. For example, an adaptive PID control tuning was proposed to cope with the control problem for a class of uncertain chaotic systems with external disturbance [1]. Sliding mode control (SMC) is one of the popular strategies to deal with uncertain control systems [2][3][4].…”
Section: Introductionmentioning
confidence: 99%
“…The popularity of PID controllers is due to their functional simplicity and reliability (Moradi, 2003). The PID control tuning was proposed for a class of uncertain chaotic systems with external disturbance (Chang and Yan, 2005). The major concern of the PID tuning is its transient behaviors either in the time domain, such as peak of overshoot, rise time and setting time or in frequency domain such as bandwidth, damping ratio and undamped natural frequency (Xu and Huang, 2007).…”
Section: Introductionmentioning
confidence: 99%