The Experts below are selected from a list of 228 Experts worldwide ranked by ideXlab platform
Zhijie Huan - One of the best experts on this subject based on the ideXlab platform.
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closed loop control for trajectory tracking of a microparticle based on input to state stability through an Electromagnetic manipulation system
IEEE Access, 2020Co-Authors: Zhixiong Zhong, Zhijie HuanAbstract:Magnetic force-based manipulation has several advantages, including its minimally invasive feature and insensitivity to biological substances. Consequently, it has exhibited considerable potential in many medical applications, such as targeted delivery in precise medicine, in which microparticles are driven to the desired regions precisely in vivo. This study investigates an automated and accurate delivery of magnetic microparticles using a self-constructed Electromagnetic Coil system. After establishing a simplified second-order dynamic model of microparticles suspended in a fluidic environment, a visual-based automated controller that incorporates the concept of input-to-state stability (ISS) into fault-tolerant technique is developed. This controller enables microparticles to follow a desired trajectory under model uncertainties and environmental disturbances, and address the problem that the actual magnetic driving force may not reach the required value due to magnetic loss in the Coil system simultaneously. Input constraint of the magnetic force provided by the system due to device capability is also considered in the fault-tolerant ISS-based controller design. Simulation and experimental results are presented to demonstrate the effectiveness of the proposed approach.
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closed loop control of trajectory tracking a microparticle through an Electromagnetic manipulation system
World Congress on Intelligent Control and Automation, 2018Co-Authors: Zhijie Huan, Hao Yang, Mingyang XieAbstract:With the advantages of minimally invasive feature and insensitivity to biological substances, magnetic force-based manipulation has exhibited great biomedical application potential, where microparticles are driven to follow desired trajectories. This study proposes a closed-loop control approach for automated manipulation of magnetic microbeads using a self-made Electromagnetic Coil system. A visual-based closed-loop controller that incorporates the concept of input-to-state stability is developed, which enables the bead to follow the desired trajectory successfully, while maintaining the tracking error within a local area under model uncertainties and environmental disturbances. A high-gain observer is further designed to estimate the bead velocity, which solves the difficulty of measuring the bead velocity via visual feedback. Simulation and experimental results demonstrate that the proposed method could be effective.
Yemei Qin - One of the best experts on this subject based on the ideXlab platform.
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a modeling and control approach to magnetic levitation system based on state dependent arx model
Journal of Process Control, 2014Co-Authors: Yemei Qin, Hui Peng, Wenjie Ruan, Jiacheng GaoAbstract:Magnetic levitation (Maglev) systems are usually strongly nonlinear, open-loop unstable and fast responding. In order to control the position of the steel ball in a Maglev system, a data-driven modeling approach and control strategy is presented in this paper. A state-dependent AutoRegressive with eXogenous input (SD-ARX) model is built to represent the dynamic behavior between the current of Electromagnetic Coil and the position of the ball. State-dependent functional coefficients of the SD-ARX model are approximated by Gaussian radial basis function (RBF) neural networks. The model parameters are identified offline by applying the structured nonlinear parameter optimization method (SNPOM). Based on the model, a predictive controller is designed to stabilize the magnetic levitation ball to a given position or to make it track a desired trajectory. The real-time control results of the proposed approach and the comparisons with other two approaches are given, which demonstrate that the modeling and control method presented in this paper are very effective and superior in controlling the fast-responding, strongly nonlinear and open-loop unstable system. This paper gives the real experimental evidence that the RBF-ARX model is capable of not only globally, but also locally capturing and quantifying a nonlinear and fast-response system's behavior, and the model-based predictive control strategy is able to work quite well in a wide working-range of the nonlinear system.
Olivier Trescases - One of the best experts on this subject based on the ideXlab platform.
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wireless electric vehicle charger with Electromagnetic Coil based position correction using impedance and resonant frequency detection
IEEE Transactions on Power Electronics, 2020Co-Authors: Nameer Khan, Hirokazu Matsumoto, Olivier TrescasesAbstract:Wireless power transfer (WPT) is an enabling technology for electric vehicles (EV), as it eliminates driver intervention during charging. Major challenges to the adoption of WPT systems include Coil misalignment and large air-gap WPT, both of which degrade the transfer efficiency. To address these issues, this article presents a compact WPT charger for the rear of an EV, capable of correcting lateral misalignment $\Delta$ x using two integrated Electromagnetic Coils. The air-gap $\Delta$ y is reduced due to the rear placement of the charging pads. The variation in $\Delta$ y , however, increases due to vehicle parking accuracy, which impacts the operation of the Electromagnetic Coils. This article proposes a closed-loop three-stage position-correcting control algorithm capable of detecting the impedance and resonant frequency of the system, which, in conjunction with the Electromagnetic Coils, results in improved vehicle alignment. The experimental prototype achieves a peak dc–dc efficiency of 90.1% at 5 kW WPT. With $\Delta$ y = 50 mm, the Electromagnetic Coils laterally align the pads within 1.75 s and correct $\Delta$ x as large as 240 mm. The position-correcting control was successfully demonstrated in four parking scenarios with the charging pads being corrected to within a 10-mm radius of perfect alignment.
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a 5kw bi directional wireless charger for electric vehicles with Electromagnetic Coil based self alignment
Applied Power Electronics Conference, 2019Co-Authors: Hirokazu Matsumoto, Nameer Khan, Olivier TrescasesAbstract:Wireless Power Transfer (WPT) systems have been gaining traction in Electric Vehicle (EV) applications, primarily as an enabling technology for autonomous vehicles. Regardless of the Coil type, misalignment between the transmitter and the receiver, which degrades the efficiency, has become a major impediment to the adoption of WPT systems. This paper proposes a compact WPT system for the rear of an EV, capable of correcting misalignment using two integrated Electromagnetic Coils. Electromagnetic simulations were performed to verify the 5kW WPT system under varying operating conditions with a maximum efficiency of 96.5%. An experimental prototype of the dual Coil system was built with a charging pad volume of 1570 cm3. The symmetric nature of the system architecture allows for bi-directional power transfer; enabling Vehicle-to-Grid (V2G) operation in the proposed WPT system. The system currently achieves WPT at 5 kW with an efficiency of 89.8%. The system successfully aligns the transmitter and receiver pads within 1.75 seconds and corrects horizontal misalignment as large as 240 mm; 20% greater than the charging pad width.
X Z Zhang - One of the best experts on this subject based on the ideXlab platform.
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Development of an MR-brake-based haptic device
Smart Materials and Structures, 2006Co-Authors: B. Liu, W.h. Li, P. B. Kosasih, X Z ZhangAbstract:This paper describes the design, testing and modelling of a magneto-rheological (MR) fluid brake as well as its application in a haptic device. The MR device, in disc shape, is composed of a rotary shaft and plate, an Electromagnetic Coil, MR fluids, and casings. The working principle of the actuator is discussed and the transmitted torque equation employed by using the Bingham plastic model. The optimal dimensions of the actuator were obtained by finite-element analysis using the COSMOSEMS package. Following manufacturing and fabrication of the actuator prototype, the steady-state performance of the MR actuator was measured using a force gauge. The experimental results show that the actuator exhibits hysteresis behaviour. A sub-hysteresis model was then proposed and the model parameters were identified. Example applications of this actuator in virtual reality are demonstrated.
Zhixiong Zhong - One of the best experts on this subject based on the ideXlab platform.
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closed loop control for trajectory tracking of a microparticle based on input to state stability through an Electromagnetic manipulation system
IEEE Access, 2020Co-Authors: Zhixiong Zhong, Zhijie HuanAbstract:Magnetic force-based manipulation has several advantages, including its minimally invasive feature and insensitivity to biological substances. Consequently, it has exhibited considerable potential in many medical applications, such as targeted delivery in precise medicine, in which microparticles are driven to the desired regions precisely in vivo. This study investigates an automated and accurate delivery of magnetic microparticles using a self-constructed Electromagnetic Coil system. After establishing a simplified second-order dynamic model of microparticles suspended in a fluidic environment, a visual-based automated controller that incorporates the concept of input-to-state stability (ISS) into fault-tolerant technique is developed. This controller enables microparticles to follow a desired trajectory under model uncertainties and environmental disturbances, and address the problem that the actual magnetic driving force may not reach the required value due to magnetic loss in the Coil system simultaneously. Input constraint of the magnetic force provided by the system due to device capability is also considered in the fault-tolerant ISS-based controller design. Simulation and experimental results are presented to demonstrate the effectiveness of the proposed approach.
