Discrete variable structure model reference adaptive control using only input-output measurements

Discrete sliding mode control with classical sliding function for the input–output representation is not applicable in non-minimum phase systems, due to the presence of unstable zero. In fact, the presence of the unstable zero risks deteriorating or saturating the control law. In order to surmount this problem, a new discrete generalized sliding mode controller for non-minimum phase systems is proposed with a new sliding function called discrete generalized sliding function. Here, the determination of optimal coefficients of the discrete generalized sliding function is proposed in terms of linear matrix inequalities. Using the proposed method, a discrete generalized sliding mode control for non-minimum phase systems with input–output model is presented and compared with the discrete generalized sliding mode controller using the pole placement method. An illustrative example verifies the effectiveness of the proposed technique.

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“…18 For this reason, over the last few years, the use of input–output (I/O) model has gained much attention in the synthesis of SMC. 19,20…”

Section: Introductionmentioning

confidence: 99%

“…18 For this reason, over the last few years, the use of input-output (I/O) model has gained much attention in the synthesis of SMC. 19,20 The SMC is composed of two phases. The first phase, named the reachability phase, consists in bringing the representative states to a specific surface ''sliding function.''…”

Section: Introductionmentioning

confidence: 99%

Discrete sliding mode control with optimal generalized sliding function for non-minimum phase system

Mansour

Mokhtar

Nouri

2022

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…In this manner, we prefer MRAC-PID structures for adaptive rotor control application and investigate possible contributions of this structure to robust control performance. Recently, MRAC has been utilized in many complicated control problems such as for adaptive system control based on only input-output measurements [16], for uncertain switched systems with unmodeled input dynamics [17]. By comparing with performance of PID control, performance improvement of MRAC has been shown in extremum seeking control of photovoltaic systems [18].…”

Section: Introductionmentioning

confidence: 99%

Multi-loop Model Reference Adaptive PID Control for Fault-Tolerance

Alagöz¹,

Kavuran²,

Ateş³

et al. 2019

Balkan Journal of Electrical and Computer Engineering

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This study demonstrates an application of multiloop Model Reference Adaptive Control (MRAC) structure for enhancement of fault tolerance performance of closed-loop PID control systems. The presented multi-loop MRAC-PID control structure can be used to transform a conventional PID control system to an adaptive control system by combining an outer adaptation loop. This study shows that the proposed control structure can improve fault tolerance and fault detection performance of the existing closed-loop PID control systems without modifying any coefficients of PID controllers, and this asset is very useful for increasing robust control performance of the existing industrial control systems. This advantage originates from the reference input shaping technique that is implemented to combine adaptation and control loops. Numerical and experimental studies are presented to illustrate an application of the MRAC-PID control structure for rotor control applications.

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Discrete variable structure model reference adaptive control using only input-output measurements

Cited by 2 publications

References 34 publications

Discrete sliding mode control with optimal generalized sliding function for non-minimum phase system

Discrete sliding mode control with optimal generalized sliding function for non-minimum phase system

Multi-loop Model Reference Adaptive PID Control for Fault-Tolerance

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