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This paper presents a closed loop vector control for an interior permanent magnet synchronous motor (IPMSM) drive incorporating a neuro-fuzzy controller (NFC) and a fuzzy logic controller (FLC). The NFC serves as the speed controller of the drive. It is designed so as to generate the appropriate command q-axis current and ensure dynamic speed control. The back-propagation technique is used for the...
The estimation of human body segment properties (BSPs), including mass, centroid and moments of inertia, is required in the kinetic analysis of human motion. Nowadays, with the development of motion capture technology, motion capture data plays an important role in the kinetic analysis of human motion. An interesting problem is whether BSPs can be estimated using the motion capture data. It is well...
Due to high torque-to-loss ratio, permanent magnet synchronous machines (PMSM) have received increasing attention in automotive applications. In addition to high efficiency, quiet operation of the propulsion drives are desirable in automotive, naval and military applications. To effectively mitigate the effects of acoustics noise and vibration in PMSM, a numerically efficient method for optimization...
When formulating a problem in mathematical language so as to submit it to an optimization process, different formulations of the problem often lead to different performances of the optimization. Using the example of the design of the simple electromagnetic circuit of a brushless permanent magnet machine, we illustrate how different algebraic manipulations can beneficially influence the optimization...
During the driving process, to reduce Power Input and improve Portable Performance of the anti-flood spiral pile equipment, it needs to deduce the Resistance Torque of computational formula for the head of the anti-flood spiral pile between soil, which bases on establishing the Pile-soil Interaction Mechanical model for the head of the anti-flood spiral pile and combining with soil spherical cavity...
Under the research context of two axis digital control turntable, this paper has set up a mathematical model of control system of turntables. Proceeding from such model, it has made an analysis on the deficiencies of classical PID control during turntable control. Against the feature of PID parameters difficult to be tuned, the neural network is thus introduced in the optimizing process of turncontrol...
This paper proposes the application of model predictive control (MPC) to reduce torque ripple for brushless DC motors (BLDCM). The equivalent structure of BLDCM with stator current predictive control is built. In predictive control, the error between the output of BLDCM and predictive model is used to design feedback adjustment and rolling optimization controller. Compared to traditional proportional...
Efficiency optimization control of salient pole permanent magnet synchronous motor (PMSM) based on maximum ratio of torque to current is presented. From basic equations of PMSM in reference frame, the method of maximum ratio of torque to current was derived using maximum principle. Then, based on the Least Squares Support Vector Machine (LSSVM), modeling of LSSVM controller of maximum ratio of torque...
This paper focuses on the design of Linear Quadratic Gaussian (LQG) controllers for variable-speed horizontal axis Wind Turbines (WTs). Those turbines use blades pitch angle and electromagnetic torque control variables to meet specified objectives for Full Load (FL) zone. The main control objectives are to reduce the structural dynamic loads and to regulate the power of the WT. The controllers are...
Because the conventional vector control for asynchronous motors is a kind of steady-state decoupling control, decoupling performance and energy-saving effect degrade in the dynamic process of energy-saving control by regulation of excitation and the load sudden changing. To solve the above problems, a novel energy-saving control method is proposed, which combines the neural network inverse decoupling...
Torque distribution based on the method of solving static model is not efficient in rough terrain. This paper describes an optimization method and neural network method based on the rover's static model. Through building the 3D virtual environment, simulation experiment supports the fact that both of them is better than solving static model method, and neural network method more timesaving than optimization...
Dynamic parameters of a robot affect the performance of advanced control schemes significantly. In this study experiments to identify the dynamic parameters of AT2 robot are carried out. The excitation trajectory for identification is parameterized with Fourier series. The trajectory is optimized to minimize effects of uncertainty using condition number as the index. Recursive optimization is proposed...
Drives based on permanent magnet synchronous machines become more and more popular in many industrial applications. In most application traditional control algorithms are used leading to problems with the drive operation optimization. The paper presents a control method based on model predictive control which can be used for high-performance drives.
The Axial Flux BLDC motors are relatively new, specially at higher power ratings over 10 kW. Therefore the designers face a lot of difficulties in designing and optimizing the motor for a given application. This paper presents a new method to optimize the performance in speed, torque, torque stability, power output, power density and motor dimensions in view of the cost and reliability for a given...
We introduce an optimization framework called prioritized optimization control, in which a nested sequence of objectives are optimized so as not to conflict with higher-priority objectives. We focus on the case of quadratic objectives and derive an efficient recursive solver for this case. We show how task-space control can be formulated in this framework, and demonstrate the technique on three sample...
Accurate calculation of the flux linkage characteristics is the basis of design and control of bearingless switched reluctance motor (BSRM). In this paper, flux linkage of main-and suspended windings for a BSRM were calculated by using 3D finite element method (FEM). A new subregional fitting algorithm was proposed and a novel mathematical model of flux linkage was built by using Fourier series and...
This paper realized the establishment of grey model for the uncertain part in terms of the analysis of current loop model in permanent-magnet synchronous motor (PMSM) close-loop control system in order to acquire improvement of current tracking character. Based on this model and the combination of torque constant value Kt in online identified strategy, this algorithm could enhance the calculation...
The optimized theory is used in the electronic control of the power train in order to improve the performance of the car. Except that, the author explains the optimized theory and the method of using it in writing the computer program. And moreover, the author discusses the problems occurring in the object and gives the methods to solve them. The result of the object is expressed by figures and gives...
Traction robot with ElectroMagnetic Clutch (EMC) is used in horizontal well logging. An improved method of multidomain optimization is proposed in this paper. By means of coupling the solenoid force with spring force, the mathematical model was built according to EMC running state. The optimization is processed by MATLAB optimum toolbox. The 3D model of the optimized results was established by Inventor...
The paper presents initial results in development of dynamic equivalent model of Distributed Network Cell (DNC) comprising various types of loads and distributed energy resources. The method used for development of the model is based on Prony analysis and Nonlinear least square optimization. The dynamic equivalent model is developed in MATLAB based on simulated measurement data of DNC. The model is...
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