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Feedforward Control of Shape Memory Alloy Actuators Using Fuzzy-Based Inverse Preisach Model
Bao Kha Nguyen,KyoungKwan Ahn IEEE 2009 IEEE transactions on control systems technology Vol.17 No.2
<P>This brief investigates a possible application of the inverse Preisach model in combination with the feedforward and feedback control strategies to control shape memory alloy actuators. In the feedforward control design, a fuzzy-based inverse Preisach model is used to compensate for the hysteresis nonlinearity effect. An extrema input history and a fuzzy inference is utilized to replace the inverse classical Preisach model. This work allows for a reduction in the number of experimental parameters and computation time for the inversion of the classical Preisach model. A proportional-integral-derivative (PID) controller is used as a feedback controller to regulate the error between the desired output and the system output. To demonstrate the effectiveness of the proposed controller, real-time control experiment results are presented.</P>
퍼지 기반 역 Preisach 모델을 이용한 형상기억합금 구동기의 피드포워드 체어
바오 카(Bao Kha NGUYEN),안경관(Kyoung Kwan AHN) 대한기계학회 2006 대한기계학회 춘추학술대회 Vol.2006 No.11
Shape Memory Alloy (SMA) actuators have a number of properties which make them useful for many applications in aeronautics, surgical tools, robotics and so on. The problem in control design is hysteresis effect of the SMA material. In this paper, a new control method combining the feedforward and feedback controllers is proposed to improve the control performance of the SMA actuators. In the feedforward control design, a fuzzy based inverse Preisach model is used to compensate the hysteresis nonlinearity effect. An extrema input hystory and a fuzzy inference is utilized to replace the inverse classical Preisach model. This work allows to reduce a large amount of experimental parameters and computation time of the inversion of classical Preisach model. A PID controller is used as a feedback controller to regulate the error between the desired and the system output. To demonstrate the effectiveness of the proposed controller, experimental results from real time control are presented.
Model Predictive Control for Shape Memory Alloy Cylinder
Nguyen Trong Tai,Nguyen Bao Kha,Kyoung Kwan Ahn 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper, a linear lightweight electric cylinder using SMA (Shape Memory Alloy) is proposed. The spring SMA is used as the actuator to control the position of the cylinder. The cylinder position is controlled by Model Predictive Control algorithm. In this controller, the cylinder model is estimated by online identification algorithm, so that SMA hysteresis effect will be compensated. Experimental results show that the position of the SMA cylinder is able to control precisely by using predictive control strategy though the hysteresis effect existing in this actuator. The performance of the proposed controller is also compared with the conventional PID controller and shown in this paper.??
Predictive position and force control for shape memory alloy cylinders
Nguyen Trong Tai,Nguyen Bao Kha,안경관 대한기계학회 2010 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.24 No.8
In this paper, a linear lightweight electric cylinder constructed using shape memory alloy (SMA) is proposed. Spring SMA is used as the actuator to control the position and force of the cylinder rod. The model predictive control algorithm is investigated to compensate SMA hysteresis phenomenon and control the cylinder. In the predictive algorithm, the future output of the cylinder is computed based on the cylinder model, and the control signal is computed to minimize the error and power criterion. The cylinder model parameters are estimated by an online identification algorithm. Experimental results show that the SMA cylinder is able to precisely control position and force by using the predictive control strategy though the hysteresis effect existing in the actuator. The performance of the proposed controller is compared with that of a conventional PID controller.
Jahedul Islam Chowdhury,Bao Kha Nguyen,David Thornhill 한국자동차공학회 2017 International journal of automotive technology Vol.18 No.4
The supercritical Organic Rankine Cycle (ORC) for the Waste Heat Recovery (WHR) from Internal Combustion (IC) engines has been a growing research area in recent years, driven by the aim to enhance the thermal efficiency of the ORC and engine. Simulation of a supercritical ORC-WHR system before a real-time application is important as high pressure in the system may lead to concerns about safety and availability of components. In the ORC-WHR system, the evaporator is the main contributor to thermal inertia of the system and is considered to be the critical component since the heat transfer of this device influences the efficiency of the system. Since the thermo-physical properties of the fluid at supercritical pressures are dependent on temperature, it is necessary to consider the variations in properties of the working fluid. The wellknown Finite Volume (FV) discretization method is generally used to take those property changes into account. However, a FV model of the evaporator in steady state condition cannot be used to predict the thermal inertia of the cycle when it is subjected to transient heat sources. In this paper, a dynamic FV model of the evaporator has been developed and integrated with other components in the ORC-WHR system. The stability and transient responses along with the performance of the ORC-WHR system for the transient heat source are investigated and are also included in this paper.
Investigation of waste heat recovery system at supercritical conditions with vehicle drive cycles
Jahedul Islam Chowdhury,Bao Kha Nguyen,David Thornhill 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.2
Waste heat recovery (WHR) for internal combustion engines in vehicles using Organic Rankine cycle (ORC) has been a promising technology. The operation of the ORC WHR system in supercritical conditions has a potential to generate more power output and thermal efficiency compared with the conventional subcritical conditions. However, in supercritical conditions, the heat transfer process in the evaporator, the key component of the ORC WHR system, becomes unpredictable as the thermo-physical properties of the working fluid change with the temperature. Furthermore, the transient heat source from the vehicle’s exhaust makes the operation of the WHR system difficult. We investigated the performance of the ORC WHR system at supercritical conditions with engine’s exhaust data from real city and highway drive cycles. The effects of operating variables, such as refrigerant flow rates, evaporator and condenser pressure, and evaporator outlet temperature, on the performance indicators of the WHR system in supercritical conditions were examined. Simulation of operating parameters and the boundary of the WHR system are also included in this paper.
Ahn Kyoung-Kwan,Kha Nguyen-Bao The Korean Society of Mechanical Engineers 2006 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.20 No.5
The aim of this paper is to increase the performance of hysteresis compensation for Shape Memory Alloy (SMA) actuators by using inverse Preisach model in closed-loop control system. This is used to reduce hysteresis effects and improve accuracy for the displacement of SMA actuators. Firstly, hysteresis is identified by numerical Preisach model implementation. The geometrical interpretation from first order transition curves is used for hysteresis modeling. Secondly, the inverse Preisach model is formulated and incorporated in closed-loop PID control system in order to obtain desired current-to-displacement relationship with hysteresis reducing. The experimental results for hysteresis compensation by using this method are also shown in this paper.
Le Duc Hanh,안경관,Nguyen Bao Kha,조우근 대한기계학회 2009 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.23 No.1
This paper presents the trajectory control of a 2DOF mini electro-hydraulic excavator by using fuzzy self tuning with neural network algorithm. First, the mathematical model is derived for the 2DOF mini electro-hydraulic excavator. The fuzzy PID and fuzzy self tuning with neural network are designed for circle trajectory following. Its two links are driven by an electric motor controlled pump system. The experimental results demonstrated that the proposed controllers have better control performance than the conventional controller.