A multi input sliding mode control for Peltier Cells using a cold–hot sliding surface

Mironova, Alexandra; Mercorelli, Paolo; Zedler, Andreas

doi:10.1016/j.jfranklin.2017.10.033

Cited by 36 publications

(10 citation statements)

References 14 publications

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“…The fan is used to cool the internal temperature when the temperature is high or the temperature increases rapidly. Then, the current temperature can be adjusted to the target temperature using the closed-loop temperature control method as [ 24 ]. Using the temperature control system, the internal temperature of the INS can be kept within a certain range to improve the accuracy of the inertial sensors.…”

Section: Temperature Control Systems Of Inssmentioning

confidence: 99%

“…Xia et al [ 23 ] adopted thermoelectric coolers and fuzzy-PID controllers to develop a temperature control system for silicon micro-gyroscope. Recently, Mironova et al [ 24 , 25 , 26 ] used the thermoelectric cooler, fan and Lyapunov based control strategy for workpiece clamping system. The Lyapunov based control strategy guarantee the control of the nonlinear thermal system thermal systems and it has a potential use in INSs.…”

Section: Introductionmentioning

confidence: 99%

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Economical High–Low Temperature and Heading Rotation Test Method for the Evaluation and Optimization of the Temperature Control System for High-Precision Platform Inertial Navigation Systems

Yang

Zhang

2018

Sensors

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Inertial navigation systems (INSs) use the temperature control system to ensure the stability of the temperature of the inertial sensors for improving the navigation accuracy of the INSs. That is, the temperature control accuracy affects the performance of the INSs. Thus, the performance of temperature control systems must be evaluated before their application. However, nearly all high-precision INSs are large and heavy and require long-term testing under many different experimental conditions. As a result, conducting an outdoor navigation experiment, which involves high–low temperature and heading rotation tests, is time consuming, laborious, and costly for researchers. To address this issue, an economical high–low temperature and heading rotation test method for high-precision platform INSs is proposed, and an evaluation system based on this method is developed to evaluate the performance of the temperature control systems for high-precision platform INSs indoors. The evaluation system uses an acrylic chamber, exhaust fans, temperature sensors, and an air conditioner to simulate the environment temperature change. The outer gimbals of the platform INSs are utilized to simulate the heading rotation. The temperature control system of a high-precision platform INS is evaluated using the proposed evaluation method. The temperature difference of the gyros is obtained in the high–low temperature test, and the temperature fluctuation of the temperature control system is observed in the rotation test. These tests verify the effectiveness of the proposed evaluation method. Then, the corresponding optimization method for the temperature control system of this high-precision platform INS is put forward on the basis of the test results of the evaluation system. Experimental results show that the maximum temperature differences of the two gyros between high- and low-temperature tests are decreased from 1.51 °C to 0.50 °C, and the maximum temperature fluctuation value of the temperature control system is decreased from 0.81 °C to 0.27 °C after the proposed evaluation and optimization processes. Therefore, the proposed methods are cost effective and useful for evaluating and optimization of the temperature control system for INSs.

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Section: Temperature Control Systems Of Inssmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Economical High–Low Temperature and Heading Rotation Test Method for the Evaluation and Optimization of the Temperature Control System for High-Precision Platform Inertial Navigation Systems

Yang

Zhang

2018

Sensors

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“…In the case of fault diagnosis and unknown input reconstruction for interconnected systems, centralized structure-based fault reconstruction approaches are well investigated, e.g., in Refs. [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. A significant approach of FD and FR for dynamic systems are the observer based methodologies [ 1 , 2 , 3 , 4 , 5 , 6 , 7 ], with differential geometry-based techniques also representing another attractive method [ 8 , 9 , 10 , 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

“…[ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. A significant approach of FD and FR for dynamic systems are the observer based methodologies [ 1 , 2 , 3 , 4 , 5 , 6 , 7 ], with differential geometry-based techniques also representing another attractive method [ 8 , 9 , 10 , 11 , 12 , 13 ]. Investigations aimed at solving problems of FD and FR of nonlinear dynamic systems via algebraic and differential techniques can be found in studies such as Refs.…”

Section: Introductionmentioning

confidence: 99%

Observer Based Multi-Level Fault Reconstruction for Interconnected Systems

Zhang

Dahhou

et al. 2021

Entropy

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The problem of local fault (unknown input) reconstruction for interconnected systems is addressed in this paper. This contribution consists of a geometric method which solves the fault reconstruction (FR) problem via observer based and a differential algebraic concept. The fault diagnosis (FD) problem is tackled using the concept of the differential transcendence degree of a differential field extension and the algebraic observability. The goal is to examine whether the fault occurring in the low-level subsystem can be reconstructed correctly by the output at the high-level subsystem under given initial states. By introducing the fault as an additional state of the low subsystem, an observer based approached is proposed to estimate this new state. Particularly, the output of the lower subsystem is assumed unknown, and is considered as auxiliary outputs. Then, the auxiliary outputs are estimated by a sliding mode observer which is generated by using global outputs and inverse techniques. After this, the estimated auxiliary outputs are employed as virtual sensors of the system to generate a reduced-order observer, which is caplable of estimating the fault variable asymptotically. Thus, the purpose of multi-level fault reconstruction is achieved. Numerical simulations on an intensified heat exchanger are presented to illustrate the effectiveness of the proposed approach.

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“…Super twisting control algorithms and higher order sliding mode schemes also provide excellent performance with little chattering [10]- [13]. Based on these research results, SMC has attracted attention for a wide variety of applications, such as manufacturing systems [14], robotics [15], unmanned aerial vehicles [16], and servo track writing systems [17]. In addition, there are remarkable results by applying the SMC framework to more general and complex models such as Takagi and Sugeno fuzzy systems and semi-Markovian jump systems [18]- [21].…”

mentioning

confidence: 96%

Effective Disturbance Compensation Method Under Control Saturation in Discrete-Time Sliding Mode Control

Han

Kim

et al. 2020

IEEE Trans. Ind. Electron.

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This article presents a novel method of dealing with disturbances and control saturation in the framework of discrete-time sliding mode control (DSMC). A DSMC with decoupled disturbance compensator (DDC) was developed for SMC to recover the loss of stability in the discrete-time domain. However, windup phenomena occur in both the switching function and the disturbance estimate when control saturation occurs, and the method cannot guarantee stability. The article develops a new method for maintaining stability under both disturbances and control saturation by incorporating a novel auxiliary state into the DSMC with DDC method. The auxiliary state prevents the windup phenomena, and the developed new method preserves the asymptotic convergence property of the disturbance estimation error dynamics and the stability of the sliding mode dynamics. Also, the error states are stable under bounded disturbances and control saturation. Simulations and experiments are performed on a commonly used industrial servo system to demonstrate the effectiveness of the proposed method. Index Terms-Discrete-time systems, sliding mode control (SMC), servosystems. I. INTRODUCTIONS LIDING mode control (SMC) is a special kind of variable structure control and is one of the most successful approaches in general control systems with bounded and matched disturbances. SMC drives the state variables to a predesigned sliding surface in a finite time and then keeps them on the sliding surface in the presence of the bounded disturbance. Therefore,

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A multi input sliding mode control for Peltier Cells using a cold–hot sliding surface

Cited by 36 publications

References 14 publications

Economical High–Low Temperature and Heading Rotation Test Method for the Evaluation and Optimization of the Temperature Control System for High-Precision Platform Inertial Navigation Systems

Economical High–Low Temperature and Heading Rotation Test Method for the Evaluation and Optimization of the Temperature Control System for High-Precision Platform Inertial Navigation Systems

Observer Based Multi-Level Fault Reconstruction for Interconnected Systems

Effective Disturbance Compensation Method Under Control Saturation in Discrete-Time Sliding Mode Control

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