Nonlinear observer design and experimental verification for heat exchangers during the start-up process

This work is focused on designing a fractional-order [Formula: see text] observer and applying it into the state of charge (SOC) estimation for lithium-ion battery pack system. Firstly, a fractional order equivalent circuit model based on the fractional capacitor is established and identified. Secondly, the SOC estimation method based on the fractional-order [Formula: see text] observer is proposed. The nonlinear intrinsic relationship between the open-circuit voltage and SOC is described as a polynomial function, and its Lipschitz proposition has been discussed. Then, the nonlinear observer design criterion is established based on the Lyapunov method. Finally, the effectiveness of the proposed method is verified with high accuracy and robustness by the experiment results.

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Reduced-order Nonlinear Observer Design for Two-time-scale Systems

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.1643 ◽

2020 ◽

Vol 53 (2) ◽

pp. 5922-5927

Author(s):

Zhaoyang Duan ◽

Costas Kravaris

Keyword(s):

Time Scale ◽

Observer Design ◽

Nonlinear Observer ◽

Reduced Order

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Learning machine for polytopic nonlinear observer design

Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301) ◽

10.1109/acc.2002.1023945 ◽

2002 ◽

Cited By ~ 1

Author(s):

G. Millerioux ◽

J. Daafouz ◽

G. Bloch

Keyword(s):

Observer Design ◽

Nonlinear Observer ◽

Learning Machine

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Observer Design for State Estimation of UV Curing Processes

Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing ◽

10.1115/dscc2014-6024 ◽

2014 ◽

Cited By ~ 2

Author(s):

Adamu Yebi ◽

Beshah Ayalew ◽

Satadru Dey

Keyword(s):

State Estimation ◽

Online Monitoring ◽

Uv Curing ◽

Observer Design ◽

Nonlinear Observer ◽

Advanced Manufacturing ◽

Monitoring And Control ◽

State Observers ◽

State Measurement ◽

And Control

This article discusses the challenges of non-intrusive state measurement for the purposes of online monitoring and control of Ultraviolet (UV) curing processes. It then proposes a two-step observer design scheme involving the estimation of distributed temperature from boundary sensing cascaded with nonlinear cure state observers. For the temperature observer, backstepping techniques are applied to derive the observer partial differential equations along with the gain kernels. For subsequent cure state estimation, a nonlinear observer is derived along with analysis of its convergence characteristics. While illustrative simulation results are included for a composite laminate curing application, it is apparent that the approach can also be adopted for other UV processing applications in advanced manufacturing.

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Average Modeling and Nonlinear Observer Design For Pneumatic Actuators With On/Off Solenoid Valves

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.4052394 ◽

2021 ◽

Author(s):

Khaled Laib ◽

Minh Tu Pham ◽

Xuefang LIN-SHI ◽

Redha Meghnous

Keyword(s):

Closed Loop ◽

Sliding Mode ◽

High Gain ◽

Observer Design ◽

Nonlinear Observer ◽

State Model ◽

Pressure Measurements ◽

Pneumatic Actuators ◽

Nonlinear Observers ◽

Piston Position

Abstract This paper presents an averaged state model and the design of nonlinear observers for an on/off pneumatic actuator. The actuator is composed of two chambers and four on/off solenoid valves. The elaborated averaged state model has the advantage of using only one continuous input instead of four binary inputs. Based on this new model, a high gain observer and a sliding mode observer are designed using the piston position and the pressure measurements in one of the chambers. Finally, their closed-loop performances are verified and compared on an experimental benchmark.

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Nonlinear observer based sliding mode control and oxygen fraction estimation for diesel engine

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331217700242 ◽

2017 ◽

Vol 40 (7) ◽

pp. 2227-2239 ◽

Cited By ~ 1

Author(s):

Haoping Wang ◽

Qiankun Qu ◽

Yang Tian

Keyword(s):

Diesel Engine ◽

Sliding Mode Control ◽

Oxygen Concentration ◽

Control Method ◽

Sliding Mode ◽

Observer Design ◽

Nonlinear Observer ◽

Linear Matrix ◽

Model Based ◽

Mode Control

In this paper, a nonlinear observer based sliding mode control (NOSMC) approach for air-path and a model-based observer for oxygen concentration in the diesel engine equipped with a variable geometry turbocharger and exhaust gas recirculation is introduced. We propose a less conservative observer design technique for Lipschitz nonlinear systems using Ricatti equations. The observer gains are obtained by solving the linear matrix inequality (LMI). Then a robust nonlinear control method, sliding mode control is applied for the states of intake and exhaust manifold pressure and compressor mass flow rate for the sake of the minimization of emissions. The proposed NOSMC controller is applied on a mean value model of turbocharged diesel engine. Besides this, a model-based observer is developed to estimate the oxygen concentration in the intake and exhaust manifolds owing to its significance in reducing emissions of diesel engines. The validation and efficiency of the proposed method are demonstrated by AMESim and Matlab/Simulink co-simulation results.

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