Modified reduced order observer based linear active disturbance rejection control for TITO systems

Pawar, Sushant N.; Chile, R. H.; Patre, B. M.

doi:10.1016/j.isatra.2017.07.026

Cited by 31 publications

(15 citation statements)

References 33 publications

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“…Microinverter parameters and controller parameters are given by Tables and , respectively. MLADRC parameters are determined by scaling and bandwidth‐parameterization method . The controller output voltages are limited among 220 V.…”

Section: Hardware Experimentsmentioning

confidence: 99%

“…MLADRC parameters are determined by scaling and bandwidth-parameterization method. 27 The controller output voltages are limited among 220 V. To verify the steady-state performance of MLADRC, experiments with nonlinear loads connected to the output of inverter are carried out. Three-phase voltage and A-phase current of inverter with single-phase rectifier load and three-phase rectifier load are demonstrated in Figures 17 and 18, respectively.…”

Section: Hardware Experimentsmentioning

confidence: 99%

“…Thus, the asymptotic convergence for the commonly considered disturbances such as step, ramp, and parabolic cases can be obtained using the ESO of first, second, and third orders, respectively. In order to simplify the implementation of higher‐order LESO, a modified reduced order ESO‐based ADRC, with decoupled mechanism to determine the controller parameters, is proposed in Pawar et al, which is efficiently able to nullify the interactions within the loops in the multivariable process with better transient performance than that of conventional LADRC.…”

Section: Introductionmentioning

confidence: 99%

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Modified linear active disturbance rejection control for microgrid inverters: Design, analysis, and hardware implementation

Zeng

Huang

et al. 2019

Int Trans Electr Energ Syst

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Summary Microgrid inverters are characterized by nonlinearities, strong coupling, and switching flexibility, by which traditional proportional‐integral control is inadequate to realize a satisfactory control performance due to its local linearization. This paper attempts to design a modified linear active disturbance rejection control (MLADRC) for voltage control of microgrid inverters. Under the framework of extended state observer, voltage error derivative is obtained indirectly by the measurement of filter capacitor current, such that the observation performance of extended state observer could be significantly improved. Furthermore, a first‐order inertial link is employed in the perturbation loop to effectively suppress observation noises. A thorough frequency response analysis of MLADRC, linear active disturbance rejection control, and proportional‐integral control is undertaken, which shows that MLADRC owns superior disturbance rejection performance than that of others. Lastly, hardware experiment validates the effectiveness and implementation feasibility of MLADRC.

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Section: Hardware Experimentsmentioning

confidence: 99%

Section: Hardware Experimentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modified linear active disturbance rejection control for microgrid inverters: Design, analysis, and hardware implementation

Zeng

Huang

et al. 2019

Int Trans Electr Energ Syst

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“…Performance and properties of ADRC have been analyzed in frequency domain [14]. Improved ADRC have been proposed to address the challenges caused by large time-delays [15], non-minimum phase [16], and multi-variable coupling [17] [18]. ADRC were initially studied via simulations and experiments and then extended to industrial applications with the range from motion control [19], electronic and mechanical systems [20] to process control [21].…”

Section: Introductionmentioning

confidence: 99%

A Tuning Method of Active Disturbance Rejection Control for a Class of High-Order Processes

et al. 2020

IEEE Trans. Ind. Electron.

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 This paper aims to propose a quantitative tuning method for active disturbance rejection control (ADRC) that controls the K/(Ts+1) n-type high-order processes. An asymptote in the Nyquist curve has been observed for the first time and its mathematical expression has been deduced. An asymptote condtion is provided in order to derive a parameter tuning rule under the sensitivity constraint. Although this proposed tuning rule is originally designed for a certain type of high-order processes, it can be extended to other types processes that can be approximated into the form of K/(Ts+1) n. Comparisons with different PID control strategies have been conducted for a range of cases to demonstrate the efficiency of the proposed tuning method. Finally, the effectiveness of the proposed tuning rule is experimentally verified on water tank system that exhibits high-order dynamics. Field tests on the superheater steam temperature control of a circulating fluidized bed (CFB) power plant further demonstrate its potential for applications in complex industrial processes.

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“…The ADRC controller was firstly proposed by Han [ 16 ] and had many advantages. The evolution and rapid use of ADRC in industries in the last three decades prove its popularity in motion control [ 17 , 18 , 19 , 20 ], flight control [ 21 , 22 ], and process control [ 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ] applications and in many fields [ 33 ]. The architecture of ADRC is designed to achieve the best performance by actively eliminating the internal and outside uncertainties as a entire disturbance [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

Improved Active Disturbance Rejection Control for Trajectory Tracking Control of Lower Limb Robotic Rehabilitation Exoskeleton

Aole¹,

Elamvazuthi

Waghmare³

et al. 2020

Sensors

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Neurological disorders such as cerebral paralysis, spinal cord injuries, and strokes, result in the impairment of motor control and induce functional difficulties to human beings like walking, standing, etc. Physical injuries due to accidents and muscular weaknesses caused by aging affect people and can cause them to lose their ability to perform daily routine functions. In order to help people recover or improve their dysfunctional activities and quality of life after accidents or strokes, assistive devices like exoskeletons and orthoses are developed. Control strategies for control of exoskeletons are developed with the desired intention of improving the quality of treatment. Amongst recent control strategies used for rehabilitation robots, active disturbance rejection control (ADRC) strategy is a systematic way out from a robust control paradox with possibilities and promises. In this modern era, we always try to find the solution in order to have minimum resources and maximum output, and in robotics-control, to approach the same condition observer-based control strategies is an added advantage where it uses a state estimation method which reduces the requirement of sensors that is used for measuring every state. This paper introduces improved active disturbance rejection control (I-ADRC) controllers as a combination of linear extended state observer (LESO), tracking differentiator (TD), and nonlinear state error feedback (NLSEF). The proposed controllers were evaluated through simulation by investigating the sagittal plane gait trajectory tracking performance of two degrees of freedom, Lower Limb Robotic Rehabilitation Exoskeleton (LLRRE). This multiple input multiple output (MIMO) LLRRE has two joints, one at the hip and other at the knee. In the simulation study, the proposed controllers show reduced trajectory tracking error, elimination of random, constant, and harmonic disturbances, robustness against parameter variations, and under the influence of noise, with improvement in performance indices, indicates its enhanced tracking performance. These promising simulation results would be validated experimentally in the next phase of research.

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Modified reduced order observer based linear active disturbance rejection control for TITO systems

Cited by 31 publications

References 33 publications

Modified linear active disturbance rejection control for microgrid inverters: Design, analysis, and hardware implementation

Modified linear active disturbance rejection control for microgrid inverters: Design, analysis, and hardware implementation

A Tuning Method of Active Disturbance Rejection Control for a Class of High-Order Processes

Improved Active Disturbance Rejection Control for Trajectory Tracking Control of Lower Limb Robotic Rehabilitation Exoskeleton

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