Feedback linearization-based self-tuning fuzzy proportional integral derivative control for atmospheric pressure simulator

Li, Gang; Li, Baoren; Wu, Di; Du, Jingmin; Yang, Gang

doi:10.1177/0959651814520827

Cited by 6 publications

(7 citation statements)

References 14 publications

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“…Modeling imprecisions and disturbances lead to a significant increase in tracking error when feedback linearization is applied without a compensation scheme [41]. Hence, neural networks [42][43][44][45][46][47][48], fuzzy logic [49][50][51][52], and evolutionary computation [53][54][55], for instance, have been used to surpass this limitation and to improve control performance.…”

Section: Introductionmentioning

confidence: 99%

A Biologically Inspired Framework for the Intelligent Control of Mechatronic Systems and Its Application to a Micro Diving Agent

Bessa

Brinkmann

Duecker

et al. 2018

Mathematical Problems in Engineering

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Mechatronic systems are becoming an intrinsic part of our daily life, and the adopted control approach in turn plays an essential role in the emulation of the intelligent behavior. In this paper, a framework for the development of intelligent controllers is proposed. We highlight that robustness, prediction, adaptation, and learning, which may be considered the most fundamental traits of all intelligent biological systems, should be taken into account within the project of the control scheme. Hence, the proposed framework is based on the fusion of a nonlinear control scheme with computational intelligence and also allows mechatronic systems to be able to make reasonable predictions about its dynamic behavior, adapt itself to changes in the plant, learn by interacting with the environment, and be robust to both structured and unstructured uncertainties. In order to illustrate the implementation of the control law within the proposed framework, a new intelligent depth controller is designed for a microdiving agent. On this basis, sliding mode control is combined with an adaptive neural network to provide the basic intelligent features. Online learning by minimizing a composite error signal, instead of supervised off-line training, is adopted to update the weight vector of the neural network. The boundedness and convergence properties of all closed-loop signals are proved using a Lyapunov-like stability analysis. Numerical simulations and experimental results obtained with the microdiving agent demonstrate the efficacy of the proposed approach and its suitableness for both stabilization and trajectory tracking problems.

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Section: Introductionmentioning

confidence: 99%

A Biologically Inspired Framework for the Intelligent Control of Mechatronic Systems and Its Application to a Micro Diving Agent

Bessa

Brinkmann

Duecker

et al. 2018

Mathematical Problems in Engineering

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“…Some researchers have proposed using nonlinear control algorithms in dealing with the nonlinearity of the vacuum servo system [21]- [22]. Among them, Li G et al [21] introduced a feedback linearization-based self-tuning fuzzy PID controller to improve the performance of vacuum servo system, and the reference inputs are the square wave and sinusoidal with an amplitude of 0.4 kPa and frequency of 1 Hz. Cheng X et al [22] created a vacuum servo system using electro-pneumatic proportional directional valve that adopted adaptive robust controller to attenuate the effects of uncertain nonlinearities.…”

Section: Introductionmentioning

confidence: 99%

“…Accordingly, Gang Yang et al [23] designed a dynamic vacuum pressure tracking system with HSVs that adopted SMC strategy to improve the performance and robustness of control for accurate dynamic vacuum tracking a sinusoidal signal with a frequency of 2Hz. However, the above research can only achieve tracking control with low frequency (≤2Hz) pneumatic pressure [21]- [23].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Backstepping Control of Vacuum Servo System Using High-Speed on-off Valves

Yang

Lei

et al. 2020

IEEE Access

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Using high-speed on-off valves (HSVs) with small size, low cost, and high switching accuracy instead of expensive proportional/servo valves, and researching high-performance vacuum servo system can further enhance the competitiveness of vacuum servo technology. However, due to the delay characteristics of high-speed on-off valve (HSV), the average gas mass flow rate of the output has dead zone, saturated zone and nonlinear zone. A linear compensation method for flow output is designed, so that the average gas mass flow rate of the output is approximately positively correlated with the duty cycle of the pulse width modulation (PWM) signal. Furthermore, because of the air compression and the leakage of the system, there exist parametric uncertainties, unmodeled dynamics and disturbances in the vacuum servo system. An adaptive backstepping control (ABC) strategy based on discontinuous projection mapping is designed. The adaptive backstepping control strategy inhibit the influence of system's parametric uncertainties through on-line update of the uncertain parameters, and uses its own robustness to eliminate the effects of unmodeled dynamics and disturbances. Compared with the sliding mode control (SMC) strategy, the experimental results show that when the tracking frequency reaches 3-4Hz, the adaptive backstepping control strategy can ensure good tracking performance. INDEX TERMS Adaptive backstepping control, High-speed on-off valves, Pulse width modulation, Vacuum servo system.

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“…In the HIL simulation, the pressure-tracking controller regulates the chamber pressure according to the altitude command to simulate the atmospheric environment variation during the flight. 3,21 Obviously, the higher the flight altitude, the higher the degree of vacuum. The vacuum pressure control system has been studied extensively by many scholars, [22][23][24] and some findings are widely applied in industrial fields, such as the calibration of meteorological instruments 25 and research of humidity generation technologies.…”

Section: Introductionmentioning

confidence: 99%

“…However, the characteristics of air compressibility, valve delay, and nonlinear friction cause pneumatic systems to be highly nonlinear and thus their servo-control is difficult to obtain at high precision. Although proportional valves have been used in pressure signal generators, 1 position tracking, 2 and pressure tracking 3,4 on account of their continuous behavior and high accuracy, disadvantages such as their high cost and bulkiness have encouraged researchers to choose high-speed on-off valves (HSVs) as an alternative for servo-control systems. To obtain quasi-continuous characteristics from pneumatic systems containing HSVs, pulse width modulation (PWM)-based methods have been put forward in the literature.…”

Section: Introductionmentioning

confidence: 99%

Dynamic vacuum pressure tracking control with high-speed on-off valves

Yang

Chen

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part I:

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A vacuum pressure tracking system with high-speed on-off valves is a discontinuous system due to the discrete nature of high-speed on-off valves. Chamber pressure changes in the system are determined by the mass flow rates during the processes of charging and discharging. Here, a sliding mode controller with an asymmetric compensator based on average mass flow rate is designed for accurate vacuum pressure tracking. The controller output signal is converted into the duty cycles of the high-speed on-off valves via a pulse width modulation pulsing scheme. Owing to the extreme asymmetry of the processes, an asymmetric structure comprising one high-speed on-off valve in the charging unit and three high-speed on-off valves in the discharging unit is applied to weaken the impact of asymmetry. In addition, an asymmetric compensator is also designed to modify the pulse width modulation pulsing scheme to further eliminate the asymmetry. Experimental results indicate that the proposed controller achieves better performance in pressure tracking with the asymmetric compensator overcoming process asymmetry and enhancing system robustness.

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Feedback linearization-based self-tuning fuzzy proportional integral derivative control for atmospheric pressure simulator

Cited by 6 publications

References 14 publications

A Biologically Inspired Framework for the Intelligent Control of Mechatronic Systems and Its Application to a Micro Diving Agent

A Biologically Inspired Framework for the Intelligent Control of Mechatronic Systems and Its Application to a Micro Diving Agent

Adaptive Backstepping Control of Vacuum Servo System Using High-Speed on-off Valves

Dynamic vacuum pressure tracking control with high-speed on-off valves

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