A method to construct a reference model for model reference adaptive control

Su, Shijie; Zhu, Yuanyuan; Wang, Hairong; Chen, Yun

doi:10.1177/1687814019890455

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…The integrated time and absolute error (ITAE) performance index can be calculated and used to evaluate the performance of control systems [38], which are defined as follows:

italicITAE goodbreak= \int_{0}^{T} t (||, e ((), t)) italicdt

where the upper limit T is a finite time, which was 0.15 s in this study; t represents the current moment; and

(||, e ((), t))

is the difference between the actual response and target value at moment t .…”

Section: Simulation Experiments and Resultsmentioning

confidence: 99%

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Harmonic control of a dual‐valve hydraulic servo system with dynamically allocated flows

Xue

Chen

et al. 2022

Asian Journal of Control

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Modern industries face increasing demands to improve the precision and workability of equipment, leading to stringent requirements for hydraulic servo systems in terms of flow, accuracy, and output power. High‐flow servo valves and multi‐valve synchronous control methods have seen more applications in the industry to meet these demands. However, high‐flow servo valves are expensive and have unsatisfactory performance, and synchronous control methods require servo valves to have the same hydraulic characteristics, resulting in higher cost and lower accuracy of high‐flow hydraulic servo systems. Also, very little has been conducted on controlling single actuators using multiple valves. In this study, we design a novel dual‐valve hydraulic servo system structure with a high‐flow proportional directional valve that is connected in parallel with a low‐flow servo valve and further develop the mathematical model of this dual‐valve system. Next, a harmonic control scheme was proposed, which included a flow allocation layer and trajectory tracking layer. Thereby, we achieved optimal control of two valves, and robust performance was guaranteed. Finally, we investigate the relationships between the flows of two valves, the deadband of the proportional directional valve, and trajectory tracking errors. Experimental results show that the proposed control scheme can effectively adjust the output flow of each valve dynamically according to the tracking trajectory and the hydraulic characteristics of the two valves, and the tracking performance of the servo system is significantly improved. This method is promised to enable the realization of an economical, high‐flow, high‐precision hydraulic servo system that can be generally used in various fields, such as marine engineering and construction.

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“…The integrated time and absolute error (ITAE) performance index can be calculated and used to evaluate the performance of control systems [38], which are defined as follows:

italicITAE goodbreak= \int_{0}^{T} t (||, e ((), t)) italicdt

where the upper limit T is a finite time, which was 0.15 s in this study; t represents the current moment; and

(||, e ((), t))

is the difference between the actual response and target value at moment t .…”

Section: Simulation Experiments and Resultsmentioning

confidence: 99%

“…The integrated time and absolute error (ITAE) performance index can be calculated and used to evaluate the performance of control systems [38], which are defined as follows:…”

Section: Analysis Of the Impacts Of Servo Valve Flow Rate And The Dea...mentioning

confidence: 99%

Harmonic control of a dual‐valve hydraulic servo system with dynamically allocated flows

Xue

Chen

et al. 2022

Asian Journal of Control

View full text Add to dashboard Cite

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Review on Braking Energy Management in Electric Vehicles

2021

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The adoption of electric vehicles promises numerous benefits for modern society. At the same time, there remain significant hurdles to their wide distribution, primarily related to battery-based energy sources. This review concerns the systematization of knowledge in one of the areas of the electric vehicle control, namely, the energy management issues when using braking controllers. The braking process optimization is summarized from two aspects. First, the advantageous solutions are presented that were identified in the field of gradual and urgent braking. Second, several findings discovered in adjacent fields of automation are debated as prospects for their possible application in braking control. Following the specific classification of braking methods, a generalized braking system composition is offered, and all publications are evaluated primarily in terms of their energy recovery abilities as a global target. Then, conventional and intelligent classes of braking controllers are compared. In the first category, classic PID, threshold, and sliding-mode controllers are reviewed in terms of their energy management restrictions. The second group relates to the issues of the tire friction-slip identification and braking torque allocation between the hydraulic and electrical brakes. From this perspective, several intelligent systems are analyzed in detail, especially fuzzy logic, neural network, and their numerous associations.

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Power System Rotor Angle Stability Enhancement Using Lyapunov-Based Trajectory Tracking Controller and Model Reference Adaptive Control

2022

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It is vital that the synchronous generator rotor angle be kept stable to avoid disastrous consequences such as the loss of synchronism amongst generators within a power system network. Once it is unstable, the time that is taken to remedy this is advised to be 5–10 s for smaller power systems and 15–20 s for larger ones. The instability that is caused by poorly damped Low-Frequency Electromechanical Oscillations (LFEOs) may result in inter-area oscillations, where a group of generators in one area oscillates against those in another area, thus affecting the stability of the entire network. This paper explores two control architectures, namely, a nonlinear Lyapunov-based trajectory tracking controller and a Model Reference Adaptive Controller (MRAC) as options to enhance the stability of the rotor angle. The performance of each of these controllers was assessed under steady-state conditions, and then, the synchronous generator was subjected to Gaussian noise and an impulse. While the first one is aimed at emulating small variations in the system loads that are responsible for inter-area oscillations, the latter one is an attempt to explore their performance for transient stability.

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A method to construct a reference model for model reference adaptive control

Cited by 3 publications

References 20 publications

Harmonic control of a dual‐valve hydraulic servo system with dynamically allocated flows

Harmonic control of a dual‐valve hydraulic servo system with dynamically allocated flows

Review on Braking Energy Management in Electric Vehicles

Power System Rotor Angle Stability Enhancement Using Lyapunov-Based Trajectory Tracking Controller and Model Reference Adaptive Control

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