A5112890006- Iterative Learning Control Systems
- Advanced Measurement and Metrology Techniques
- Advanced machining processes and optimization
- Control Systems in Engineering
- Piezoelectric Actuators and Control
- Magnetic Bearings and Levitation Dynamics
- Electric Motor Design and Analysis
- Advanced Surface Polishing Techniques
- Advanced Multi-Objective Optimization Algorithms
- Topology Optimization in Engineering
- Optimal Experimental Design Methods
- Adaptive Control of Nonlinear Systems
- Robotic Mechanisms and Dynamics
- Optical measurement and interference techniques
- Hydraulic and Pneumatic Systems
- Advanced Numerical Analysis Techniques
- Magnetic Properties and Applications
- Manufacturing Process and Optimization
- Control Systems and Identification
- Inertial Sensor and Navigation
- Sensorless Control of Electric Motors
- Sensor Technology and Measurement Systems
- Scientific Measurement and Uncertainty Evaluation
- Metaheuristic Optimization Algorithms Research
- Heat Transfer and Optimization
Tsinghua University
2015-2024
China Southern Power Grid (China)
2013-2024
University of Hong Kong
2024
Chinese University of Hong Kong
2024
Central South University of Forestry and Technology
2024
Central South University
2024
State Key Laboratory of Tribology
2013-2023
Anhui University of Technology
2023
Shanghai Institute of Technical Physics
2023
Fudan University
2023
In this paper, a neural network learning adaptive robust controller (NNLARC) is synthesized for an industrial linear motor stage to achieve good tracking performance and excellent disturbance rejection ability. The NNLARC scheme contains parametric adaption part, feedback radial basis function (RBF) (NN) part in parallel structure. the are designed based on system dynamics meet challenge of variations uncertain random disturbances. It must be noted that actual machining situations, precision...
Magnetically levitated planar motor is a new-generation motion device in modern precision industry, while its advanced controller design still of main concern. In this paper, learning adaptive robust control (LARC) proposed for magnetically developed our laboratory to achieve good tracking performance. The consists Halbach permanent magnetic array as the stator, and platen containing four groups three-phase windings mover. Based on Lorentz force law, mover placed field subjected vertical...
In this article, to guarantee the good tracking performance of precision motion system for various tasks, an online iterative learning compensation method is proposed closed-loop control systems. The prediction model based on linear second-order with a proportional-integral-derivative controller, and estimation term added deal influence slow-varying uncertain disturbances. On basis accurate state prediction, dynamical feedforward can be obtained, which suppresses error caused by lag....
Linear flat switched flux permanent magnet (SFPM) brushless machines have significant potential for many applications including transportation, automobile and aerospace. Novel E-core C-core linear SFPM are proposed optimized by individual parameter optimization, when the copper loss volume is fixed, in this paper finite element (FE) analysis. Then, results of optimizations examined a global optimization with genetic algorithm. Furthermore, thickness all middle teeth analyzed individually....
This paper develops a data-driven decoupling feedforward control scheme with iterative tuning to meet the challenge of crosstalk problem in multiple-input multiple-output (MIMO) motion systems. In contrast model-based approaches, fully utilizes available data address practical difficulty obtaining an accurate dynamic model. The MIMO signal is iteratively updated by minimizing developed criterion. Specifically, make optimal convex, controller structuralized finite impulse response (FIR)...
This paper proposes a Newton extremum seeking algorithm based iterative learning coordinated control (Newton-ILC) strategy for contouring motion accuracy of precision multiaxial systems. Specifically, as the error estimation is critically important control, cost function constructed on reference contour, well current position, and minimal value searched to determine point through an offline algorithm. Consequently, high can be achieved, even under extreme tasks with speed, large curvature,...
To simultaneously achieve accurate tracking error prediction, rigorous motion accuracy, and certain robustness to parameter variations unknown disturbances, this article proposes a data-based learning adaptive robust control (LARC) strategy based on gated recurrent unit (GRU) neural network. Firstly, are utilized guarantee the against parametric uncertainties disturbances. A GRU network is then constructed capable of precisely predicting after training with data collected from...
For precision motion systems widely applied in industrial manufacturing equipments, it is critical to achieve both high trajectory tracking accuracy and superior disturbance rejection ability. In this article, a novel nonlinearity compensation high-frequency flexibility suppression based real-time iterative (RIC) method proposed excellent performance practice. The unexpected flexible mode of the plant, which limits achievable control performance, first compensated suppressed. Subsequently,...
The increasing prevalence of drought events in grasslands and shrublands worldwide potentially has impacts on soil organic carbon (SOC). We leveraged the International Drought Experiment to study how SOC, including particulate (POC) mineral-associated (MAOC) concentrations, responds extreme treatments (1-in-100-year) for 1 5 years at 19 sites worldwide. In more mesic areas (aridity index > 0.65), SOC POC concentrations decreased by 7.9% (±3.9) 15.9% (±6.2) with drought, respectively, but...
In order to simultaneously provide excellent tracking performance as well good generalization for precision motion control of magnetically levitated (maglev) planar motors, this article proposes a feedforward compensation strategy with precise reference modification prediction using gated recurrent units (GRU). First, GRU network is constructed, which capable precisely predicting the after training data collected from maglev motor. Essentially, can be viewed data-based model captures dynamic...
Wafer stage is an important mechatronic unit of industrial lithography tool for manufacturing integrated circuits. To overcome the inherent limitations fix-gain feedback control and improve servo performance, a performance-oriented variable-gain strategy with accelerated iterative parameter tuning proposed ultra-precision wafer stage. The controller comprises proportional-integral-derivative (PID) add-on elements, which are focus this paper. Specifically, elements significantly designed...
In precision motion control, well-designed feedforward control can effectively compensate the reference-induced tracking error. To achieve excellent performance such as nanometer accuracy regardless of reference variations, an integrated model-data-based zero-phase error (ZPETFC) strategy is synthesized for systems with complex and nonminimum phase (NMP) dynamics. The controller comprises a conventional ZPETFC gain compensation filter structured symmetric finite impulse response (FIR)...
The development and application of inhomogeneous porous structures have greatly benefitted from the emergence additive manufacturing (AM) techniques. At same time, inherent constraints AM techniques highlighted importance design for AM. In this paper, a novel method is proposed to optimize oriented improve their structural performance. particular, optimizes using embedded voids incorporates two filters, one which satisfies minimum feature size constraint while other facilitates support-free...
Contouring motion control plays an important role in modern precision multiaxis systems. In order to enhance the coordination between each axis and promote contouring performance, many research works have been conducted that mainly focus on error online estimation control. Essentially, most of existing strategies based emerged belong feedback control, which cannot achieve perfect performance due inevitable delay or lag. To fundamentally tackle above problem, a novel position-loop feedforward...
In order to achieve both accurate contouring error estimation and excellent control performance for multiaxis motion systems, this article proposes an online iterative precompensation method based on a third-order prediction model. Specifically, the closed-loop dynamical model of each axis is first used predict tracking errors at future sampling instants. And then related system time can be expressed by predicted theoretical reference contour. To reduce influence modeling uncertain...
As the basis of contouring motion control, estimation error is one most important research topic in field multiaxis coordination control. In extreme contour cases with high speed, large curvature and sharp corner, inaccurate poor real-time performance are two key problems for existing methods. order to guarantee iterative based methods, a novel calculation method on Atiken acceleration proposed this article. By means local linearization iteration points, can not only accelerate solution but...
Back electromotive force (EMF)-based sensorless control strategies for permanent-magnet linear synchronous motor (PMLSM) have the potential to simplify mechatronic system, reduce cost and prolong service life. However, poor performance in low-to-zero speed region limits their application range. In this article, a novel back EMF-based mover position estimator is proposed achieve consistent good accuracy whole range including high speed, medium low speeds, temporary standstill, reversals. The...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper presents a new 2-D permanent-magnet array for planar motor, in which the angle between magnetization directions of any two adjacent magnets is 45<formula formulatype="inline"><tex Notation="TeX">$^{\circ}$</tex> </formula>. The harmonic model flux density distribution solved by scalar magnetic potential equation and validated finite-element method. An analytical real-time control...
With the advantage of low cost and small size, a hall sensor has been exploited to detect motor position, this strategy attracted much attention. A challenge is that measurement model parameters vary with position from because machining errors permanent magnets. While, most existing methods use other auxiliary displacement sensors calibrate off-line, which require lot preliminary work lose adaptation when they are applied in industry. In paper, an on-line simultaneous computation method...
Wafer stage is an important mechatronic unit of industrial lithography tool for manufacturing integrated circuits. This paper presents a novel state/model-free variable-gain discrete sliding mode control (DSMC) to suppress the unmolded position-dependent dynamics and disturbances in nanopositioning wafer stage. The proposed DSMC essentially composed feedforward term, linear feedback nonlinear switching which can be designed separately. gain term meaningfully variable balance tradeoff between...