Novel model reference adaptive control laws for improved transient dynamics and guaranteed saturation constraints

Anderson, Robert B.; Marshall, Julius A.; L’Afflitto, Andrea

doi:10.1016/j.jfranklin.2021.06.020

Cited by 26 publications

(21 citation statements)

References 33 publications

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“…To suppress this peak, there is a requirement of active damping and for active damping, there is requirement of current controller to make the system stable. The mainly used adaptive controller is MRAC [9,11,12]. A block diagram of proposed MRAC technique is shown in Figure 3 Consider a damped third order system,…”

Section: Model Reference Adaptive Control Techniquementioning

confidence: 99%

“…Fuzzy logic controller is also very popular among researchers as it can deal with non-linear systems, and there is no requirement of mathematical modelling for complex computation. However, there is a requirement of attention to design the membership function of fuzzy set for the controller and MRAC with MIT rules also does not give the exact and fast response [9].…”

Section: Introductionmentioning

confidence: 99%

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Performance enhancement of grid‐connected photovoltaic systems using Ant Lion optimisation and Genetic Algorithm‐based optimisation techniques

Negi

Pal

2022

Cognitive Comp and Systems

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One of the most common issues in renewable energy applications is modelling and regulating grid‐connected PV systems. The model reference adaptive control (MRAC) technique has been analysed in this paper. It's difficult to develop an MRAC that performs well in both transient and steady‐state conditions; hence, the primary goal of this paper is to create a modified MRAC that has excellent steady‐state and transient responses. A modified MRAC scheme has been proposed, where an Ant lion optimisation technique and a well‐known algorithm that is Genetic Algorithm (GA) is used to optimise the controller gain and compared it with each other and also with the conventional MRAC technique. The optimisation techniques are used to tune the controller parameters so that errors should be minimised. The time response analysis of MRAC, MRAC‐GA, and MRAC‐ALO controllers are shown and evaluated using common control criteria such as rising time, settling time, peak overshoot, steady‐state, and error parameters. The simulation findings reveal that the proposed modified MRAC controller, both MRAC‐ALO and MRAC‐GA, outperforms in relation to transient performance and steady‐state performance compared to conventional MRAC controllers.

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Section: Model Reference Adaptive Control Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance enhancement of grid‐connected photovoltaic systems using Ant Lion optimisation and Genetic Algorithm‐based optimisation techniques

Negi

Pal

2022

Cognitive Comp and Systems

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“…Output Error Dynamics The adaptive controller with standard update law (14) 2n asymptotically stable The adaptive controller based on the scalar update law (16) 1 asymptotically stable Remark 2. Similar to the study of the classical error models [5,22], we can obtain that if the signal vector w(t) satisfies the persistent excitation (PE) condition [23], namely, there exist positive constants T and ε 0 , the following equation holds for any t ≥ t 0 t+T t w(τ)w(τ) T dτ ≥ ε 0 I, then the parameter error φ(t) can converge to zero.…”

Section: Controller the Number Stability Property Of The Of Update Lawsmentioning

confidence: 99%

“…Much effort has been dedicated to the development of MRAC theory. The current results include state feedback MRAC for state tracking [15,16]; state feedback MRAC for output tracking [17,18]; and output feedback MRAC for output tracking [19,20]. When the whole state vector is difficult to obtain, output feedback MRAC for output tracking receives increasing attention.…”

Section: Introductionmentioning

confidence: 99%

A Novel MRAC Scheme for Output Tracking

2022

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This paper puts forward a novel output feedback model reference adaptive control (MRAC) scheme for solving an adaptive output tracking problem. The proposed control scheme only needs a scalar function to be updated online, which decreases the system adaptation complexity, compared to the existing MRAC schemes. Furthermore, the closed-loop signal boundedness and asymptotic output tracking are guaranteed with the proposed MRAC scheme. A simulation study is carried out to verify the effectiveness of the established approach.

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“…The idea behind MRAC systems is based on the use of the difference between the output from a reference model and the actual output of the system [38]. The difference signal is used to change the values of the controller's gains with a selected adaptation algorithm.…”

Section: Introductionmentioning

confidence: 99%

Speed Control Based on State Vector Applied for Electrical Drive with Elastic Connection

et al. 2022

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The paper is focused on issues related to the control of electrical drives with oscillations of state variables. The main problem deals with the construction of the mechanical part, which contains elastic elements used as a coupling between the motor machine and the load. In such cases, strict tracking of the reference trajectory is difficult, so damping of the disturbances is necessary. For this purpose, the full state vector of the object is applied as the feedback signal for the speed controller. This method is efficient and relatively easy to implement (including the hardware part). However, the control accuracy is dependent on the quality of the parameters identification and the invariance of the object. Thus, two adaptive structures are proposed for the two-mass system. Moreover, selected coefficients were optimized using metaheuristic algorithms (symbiotic organism search and flower pollination algorithm). After presentation of the preliminaries and mathematical background, tests were conducted, and the numerical simulations are shown. Finally, the experimental verification for the 0.5 kW DC machines was performed. The results confirm the theoretical concept and the initial assumptions: the state controller leads to the precise control of the drive with a long shaft; recalculation of the parameters can improve the work of the drive under changes of time constants; modern design tools are appropriate for this application.

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Novel model reference adaptive control laws for improved transient dynamics and guaranteed saturation constraints

Cited by 26 publications

References 33 publications

Performance enhancement of grid‐connected photovoltaic systems using Ant Lion optimisation and Genetic Algorithm‐based optimisation techniques

Performance enhancement of grid‐connected photovoltaic systems using Ant Lion optimisation and Genetic Algorithm‐based optimisation techniques

A Novel MRAC Scheme for Output Tracking

Speed Control Based on State Vector Applied for Electrical Drive with Elastic Connection

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