A least mean square based active disturbance rejection control for an inertially stabilized platform

Bai, Changrui; Zhang, Zhou

doi:10.1016/j.ijleo.2018.08.099

Cited by 25 publications

(9 citation statements)

References 30 publications

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“…The challenging problem of the laser seeker control has also been studied in the framework of active disturbance rejection control (ADRC) (Bai and Zhang, 2018; Zhang et al , 2019; Manojlović et al , 2015; Ferdjali et al , 2021), which recently has drawn considerable attention in the aerospace research and became a viable alternative to other advanced control strategies, mostly due to its robustness and minimal dependency on the plant mathematical model. The ADRC approach enables uniform performance and system stability even in various target tracking tasks.…”

Section: Introductionmentioning

confidence: 99%

Systematic design of nonlinear ADRC for laser seeker system with FPGA-based rapid prototyping validation

Ferdjali

Stanković

Manojlović

et al. 2022

AEAT

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Purpose A laser seeker is an important element in missile guidance and control systems, responsible for target detection and tracking. Its control is, however, a challenging problem due to complex dynamics and various acting disturbances. Hence, the purpose of this study is to propose a systematic design, tuning, analysis and performance verification of a nonlinear active disturbance rejection control (ADRC) algorithm for the specific case of the laser seeker system. Design/methodology/approach The proposed systematic approach of nonlinear ADRC application to the laser seeker system consists of the following steps. The complex laser seeker control problem is first expressed as a regulation problem. Then, a nonlinear extended state observer (ESO) with varying gains is used to improve the performance of a conventionally used linear ESO (LESO), which enables better control quality in both transient and steady-state periods. In the next step, a systematic observer tuning, based on a detailed analysis of the system disturbances, is proposed. The stability of the overall control system is then verified using a describing function method. Next, the implementation of the NESO-based ADRC solution is realized in a fixed-point format using MATLAB/Simulink and Xilinx System Generator. Finally, the considered laser seeker control system is implemented in discrete form and comprehensively tested through hardware-in-the-loop (HIL) co-simulation. Findings Through the conducted comparative study of LESO-based and NESO-based ADRC algorithms for the laser seeker system, the advantages of the proposed nonlinear scheme are shown. It is concluded that the NESO-based ADRC scheme for the laser seeker system (with appropriate parameters tuning methodology) provides better control performance in both transient and steady-state periods. The conducted multicriteria study validates the efficacy of the proposed systematic approach of applying nonlinear ADRC to laser seeker systems. Practical implications In practice, the obtained results imply that the laser seeker system, governed by the studied nonlinear version of the ADRC algorithm, could potentially detect and track targets faster and more accurately than the system based on the common linear ADRC algorithm. In addition, the article presents the step-by-step procedure for the design, field programmable gate array (FPGA) implementation and HIL-based co-simulation of the proposed nonlinear controller, which can be used by control practitioners as one of the last validation stages before experimental tests on a real guidance system. Originality/value The main contribution of this work is the systematic procedure of applying the ADRC scheme with NESO for the specific case of the laser seeker system. It includes its design, tuning, analysis and performance verification (with simulation and FPGA hardware). The novelty of the work is also the combination and practical realization of known theoretical elements (NESO structure, NESO parameter tuning, ADRC closed-loop stability analysis) in the specific case of the laser seeker system. The results of the conducted applied research increase the current state of the art related to robust control of laser seeker systems working in disturbed and uncertain conditions.

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Section: Introductionmentioning

confidence: 99%

Systematic design of nonlinear ADRC for laser seeker system with FPGA-based rapid prototyping validation

Ferdjali

Stanković

Manojlović

et al. 2022

AEAT

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“…Bai [6] demonstrated an active disturbance rejection control based on least mean square for aerial remote sensing stabilized imaging. J. Fang [7] proposed an adaptive decoupling control system based on neural network to improve the tracking and stability performance of stabilized platforms.…”

Section: Index Termsmentioning

confidence: 99%

“…Seen from the above researches, the conventional PID control method is widely used in the current industrial process control because of its simplicity and applicability. On this basis, more modern control theories and intelligent control theories have also been applied to stabilized platforms, such as fuzzy control [4], synovial film control [5], autodisturbance control [6], and neural network control [7], etc [8]. However, characterized by non-linearity, time-varying and parameter uncertainty under the disturbance of multiple sources from outside, the stabilized platform requires a control method with high accuracy and high stability in a complex environment.…”

Section: Index Termsmentioning

confidence: 99%

Design and Implementation of Novel Fractional-Order Controllers for Stabilized Platforms

et al. 2020

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“…Results and discussions 5.1 Simulation procedure The proposed GWO-SA-based CFO estimation in SCM-OFDM model was simulated in MATLAB, and the corresponding outcomes were attained. Because the literature lags with the CFO estimate using meta-heuristic search algorithms, which is the primary contribution here, we have compared our proposed algorithm with state-of-the-art metaheuristic algorithms and standard filtering algorithms such as ML (Bai and Zhang, 2018), LMS (Lorito, 1995), PSO (Zhang and Xia, 2017), GA (McCall, 2005) and GWO (Mirjalili et al, 2014) for CFO estimation; it is held with respect to BER and MSE for ten values of SNR. In addition, results were taken for varying values of weight, W adopted in GWO-SA algorithm.…”

Section: Estimating Carrier Frequency Offsetmentioning

confidence: 99%

Self-improved grey wolf optimization for estimating carrier frequency offset in SCM-OFDM systems

Rashmi

Sarvagya

2020

IJPCC

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Purpose The purpose of this paper is to demonstrate a proficiency for accomplishing optimal CFO and keep down the error among the received and transmitted signal. Orthogonal frequency-division multiplexing (OFDM) is considered as an attractive modulation scheme that could be adopted in wireless communication systems owing to its reliability in opposition to multipath interruptions under different subchannels. Carrier frequency offset (CFO) establishes inter-carrier interference that devastates the orthogonality between the subcarriers and fluctuates the preferred signal and minimizes the effectual signal-to-noise ratio (SNR). This results in corrupted system performance. For sustaining the subcarriers’ orthogonality, timing errors and CFOs have to be approximated and sufficiently compensated for. Single carrier modulation (SCM) is a major feature for efficient OFDM system. Design/methodology/approach This paper introduces a novel superposition coded modulation-orthogonal frequency-division multiplexing (SCM-OFDM) system with optimal CFO estimation using advanced optimization algorithm. The effectiveness of SCM-OFDM is validated by correlating the transmitted and received signal. Hence, the primary objective of the current research work is to reduce the error among the transmitted and received signal. The received signal involves CFO, which has to be tuned properly to get the signal as closest as possible with transmitted signal. The optimization or tuning of CFO is done by improved grey wolf optimization (GWO) called GWO with self-adaptiveness (GWO-SA). Further, it carries the performance comparison of proposed model with state-of-the-art models with the analysis on bit error rate (BER) and mean square error (MSE), thus validating the system’s performance. Findings From the analysis, BER of the proposed and conventional schemes for CFO at 0.25 was determined, where the adopted scheme at 10th SNR was 99.6 per cent better than maximum likelihood, 99.6 per cent better than least mean square (LMS), 99.3 per cent better than particle swarm optimization (PSO), 75 per cent better than genetic algorithm (GA) and 25 per cent better than GWO algorithms. Moreover, MSE at 1st SNR, the proposed GWO-SA scheme, is 4.62 per cent better than LMS, 60.1 per cent better than PSO, 37.82 better than GA and 67.85 per cent better than GWO algorithms. Hence, it is confirmed that the performance of SCM-OFDM system with GWO-SA-based CFO estimation outperformed the state-of-the-art techniques. Originality/value This paper presents a technique for attaining optimal CFO and to minimize the error among the received and transmitted signal. This is the first work that uses GWO-SA for attaining optimal CFO.

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A least mean square based active disturbance rejection control for an inertially stabilized platform

Cited by 25 publications

References 30 publications

Systematic design of nonlinear ADRC for laser seeker system with FPGA-based rapid prototyping validation

Systematic design of nonlinear ADRC for laser seeker system with FPGA-based rapid prototyping validation

Design and Implementation of Novel Fractional-Order Controllers for Stabilized Platforms

Self-improved grey wolf optimization for estimating carrier frequency offset in SCM-OFDM systems

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