scholarly journals Parameters adaptive backstepping control of PMSM using DTC method

2021 ◽  
Vol 236 ◽  
pp. 04028
Author(s):  
Xiaoming Zheng ◽  
Lei Xue ◽  
Peng Wang ◽  
Jia Li ◽  
Zeyuan Shen
Keyword(s):  
Steady State ◽  
Parameter Identification ◽  
Control Algorithm ◽  
Adaptive Controller ◽  
Control Performance ◽  
Transient Performance ◽  
Motor Speed ◽  
Adaptive Backstepping ◽  
Hysteresis Controller ◽  
Transient Control

The torque and flux ripple of traditional DTC control of PMSM is large, and due to the lack of adaptive control system, the change of the system parameters has a great impact on the steady and transient control performance of the motor speed. Based on the traditional DTC control algorithm, a parameter identification adaptive backstepping DTC control algorithm is proposed in this paper. Because the backstepping controller is used to replace PI controller and flux hysteresis controller, the steady-state and transient performance of the system is obviously improved. At the same time, a parameter identification adaptive controller is designed, which can effectively suppress the influence of parameter changes on the speed control performance. The simulation results verify the correctness and effectiveness of the control algorithm. The control algorithm can significantly improve the steady-state and transient performance of the system under the condition of parameter mutation.

A Nonlinear Feedback Control Scheme for Transient Performance Enhancement in Hard Disk Drives

2014 ◽  
Author(s):  
Minghui Zheng ◽  
Xu Chen ◽  
Masayoshi Tomizuka
Keyword(s):  
Steady State ◽  
Pid Controller ◽  
Control Algorithm ◽  
Hard Disk Drives ◽  
Hard Disk ◽  
Disk Drives ◽  
Transient Performance ◽  
Nonlinear Feedback ◽  
Nonlinear Pid Controller ◽  
Steady State Performance

This paper aims to develop a nonlinear control algorithm to break the limitations of linear PID controls and improve the transient performance during the short-span track seeking / settling in hard disk drives (HDDs). It is designed based on a baseline PID controller which is well-designed to obtain good track following performance. The control algorithm is a combination of a nonlinear PID controller and a nonlinear turbo controller (NTC): when the position error signal (PES) is large, NTC assists the nonlinear PID controller to rapidly reduce the error; when PES is small, NTC is turned off to avoid possible chattering and ensure good steady state performance. As PES becomes even smaller, the nonlinear PID controller is reduced to the baseline PID controller to keep good steady state performance.

scholarly journals Adaptive backstepping controller design based on neural network for PMSM speed control

2021 ◽  
Vol 12 (3) ◽  
pp. 1940
Author(s):  
E. Sabouni ◽  
B. Merah ◽  
I. K. Bousserhane
Keyword(s):  
Neural Network ◽  
Control Algorithm ◽  
Controller Design ◽  
Classical Method ◽  
Permanent Magnet Synchronous Motor ◽  
Adaptive Controller ◽  
Nonlinear Controller ◽  
Adaptive Backstepping ◽  
Backstepping Controller ◽  
Adaptive Backstepping Controller

<span lang="EN-US">The aim of this research is the speed tracking of the permanent magnet synchronous motor (PMSM) using an intelligent Neural-Network based adapative backstepping control. First, the model of PMSM in the Park synchronous frame is derived. Then, the PMSM speed regulation is investigated using the classical method utilizing the field oriented control theory. Thereafter, a robust nonlinear controller employing an adaptive backstepping strategy is investigated in order to achieve a good performance tracking objective under motor parameters changing and external load torque application. In the final step, a neural network estimator is integrated with the adaptive controller to estimate the motor parameters values and the load disturbance value for enhancing the effectiveness of the adaptive backstepping controller. The robsutness of the presented control algorithm is demonstrated using simulation tests. The obtained results clearly demonstrate that the presented NN-adaptive control algorithm can provide good trackingperformances for the speed trackingin the presence of motor parameter variation and load application.</span>

scholarly journals Controlling a DC Motor through Lypaunov-like Functions and SAB Technique

2018 ◽  
Vol 8 (4) ◽  
pp. 2180
Author(s):  
Alejandro Rincón ◽  
Fabiola Angulo ◽  
Fredy Hoyos
Keyword(s):  
Digital Signal ◽  
Adaptive Controller ◽  
Dc Motor ◽  
Motor Speed ◽  
Adaptive Backstepping ◽  
Inertia Moment ◽  
Rapid Control ◽  
Rapid Control Prototyping ◽  
Robust Adaptive ◽  
Robust Adaptive Controller

<p>In this paper, state adaptive backstepping and Lyapunov-like function methods are used to design a robust adaptive controller for a DC motor. The output to be controlled is the motor speed. It is assumed that the load torque and inertia moment exhibit unknown but bounded time-varying behavior, and that the measurement of the motor speed and motor current are corrupted by noise. The controller is implemented in a Rapid Control Prototyping system based on Digital Signal Processing for dSPACE platform and experimental results agree with theory.</p>

Comparative Analysis of Sliding Mode Controller and Hysteresis Controller for Active Power Filtering in a Grid connected PV System

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Aurobinda Bag ◽  
Bidyadhar Subudhi ◽  
Pravat Kumar Ray
Keyword(s):  
Steady State ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Active Power ◽  
Maximum Power ◽  
Superior Performance ◽  
Sliding Mode Controller ◽  
Parameter Uncertainties ◽  
Pv System ◽  
Hysteresis Controller

AbstractThis paper presents a comparative assessment of two controllers, namely sliding mode controller and hysteresis controller for active power filtering of a grid integrated Photovoltaic (PV) system. These control algorithms were employed in Voltage Source Inverter (VSI) for active power filtering as well as for converting the dc voltage from PV array to 3-phase ac voltage. For superior tracking efficiency a modified Incremental Conductance Maximum Power Point Tracking (ICMPPT) algorithm is employed to extract maximum power from PV panels. A PI controller is used for regulation of dc link capacitor voltage. Instantaneous power theory based reference current generation is used for the active power filtering. Both sliding mode control algorithm and hysteresis control algorithm are designed for tracking the reference inverter current in order to elimination the grid current harmonics. The steady state and transient performances of the two controllers i. e. sliding mode controller and hysteresis controller are compared. These two control schemes are implemented on a grid connected PV system firstly using MATLAB/Simulink and then on an experimental setup developed in the laboratory. From the obtained simulation and experimental results, it is found that sliding mode controller exhibits superior performance such as better transient and steady state behavior under parameter uncertainties as compared to the hysteresis controller.

Control of the adiabatic flow reactor by feeding the catalyst solution

1979 ◽  
Vol 44 (8) ◽  
pp. 2352-2365
Author(s):  
Josef Horák ◽  
Zina Sojková ◽  
František Jiráček
Keyword(s):  
Steady State ◽  
Constant Temperature ◽  
Reaction Temperature ◽  
Control Algorithm ◽  
Flow Reactor ◽  
Operating Temperature ◽  
Temperature Deviation ◽  
Adiabatic Flow ◽  
Dosing Frequency ◽  
Laboratory Reactor

Control algorithm of the operating temperature is described in the reactor, which is operated at constant temperature and composition of the inlet mixture. The temperature is controlled by dosing a constant volume of the catalyst solution. The dosing frequency is determined according to the reaction temperature (deviation of the temperature from the desired value and the sign of the derivative of temperature). The control algorithm has been verified experimentally for the laboratory reactor in unstable steady state.

Robust Control Method Based on Machine Learning for Boiler Combustion System

2014 ◽  
Vol 685 ◽  
pp. 368-372 ◽  
Author(s):  
Hao Zhang ◽  
Ya Jie Zhang ◽  
Yan Gu Zhang
Keyword(s):  
Robust Control ◽  
Intelligent Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Support Vector ◽  
Control Performance ◽  
Fuzzy Pid Control ◽  
On Line ◽  
Control Output

In this study, we presented a boiler combustion robust control method under load changes based on the least squares support vector machine, PID parameters are on-line adjusted and identified by LSSVM, optimum control output is obtained. The simulation result shows control performance of the intelligent control algorithm is superior to traditional control algorithm and fuzzy PID control algorithm, the study provides a new control method for strong non-linear boiler combustion control system.

Utilizing an Adaptive Controller (Azadi Controller) for Trajectory Planning of PUMA 560 Robot

2011 ◽  
Vol 403-408 ◽  
pp. 4880-4887
Author(s):  
Sassan Azadi
Keyword(s):  
Steady State ◽  
Trajectory Planning ◽  
Positive Feedback ◽  
Fuzzy Controller ◽  
Research Work ◽  
Adaptive Controller ◽  
The Novel ◽  
Transient Responses ◽  
Simulation Results ◽  
Good Substitute

This research work was devoted to present a novel adaptive controller which uses two negative stable feedbacks with a positive unstable positive feedback. The positive feedback causes the plant to do the break, therefore reaching the desired trajectory with tiny overshoots. However, the two other negative feedback gains controls the plant in two other sides of positive feedback, making the system to be stable, and controlling the steady-state, and transient responses. This controller was performed for PUMA-560 trajectory planning, and a comparison was made with a fuzzy controller. The fuzzy controller parameters were obtained according to the PSO technique. The simulation results shows that the novel adaptive controller, having just three parameters, can perform well, and can be a good substitute for many other controllers for complex systems such as robotic path planning.

Improved Load Sharing Control Techniques for Inverters used in a Microgrid

2009 ◽  
Vol 10 (1) ◽  
Author(s):  
Wei Yao ◽  
Zhaoming Qian
Keyword(s):  
Steady State ◽  
Transient Response ◽  
Single Phase ◽  
Load Sharing ◽  
Power Sharing ◽  
Experimental Results ◽  
Control Technique ◽  
Transient Performance ◽  
Control Techniques ◽  
Control Scheme

In this paper, an improved load sharing control scheme is presented, which is able to improve the transient response and power sharing accuracy of parallel-connected inverters used in microgrid. It also shows how the improved droop method can be easily adapted to account for the operation of parallel-connected inverters, providing good performance under the variation and disturbance of loads, as well as achieving good steady-state objectives and transient performance. Two DSP-based single-phase Microgrid inverters are designed and implemented. Simulation and experimental results are all reported, confirming the validity of the proposed control technique.

Power Exchanges of Hybrid Fuel Cell-Ultracapacitor Power Sources Feeding Pulse Loads

2006 ◽  
Vol 4 (4) ◽  
pp. 516-519 ◽  
Author(s):  
D. Asprino ◽  
L. Conte ◽  
M. Pagano ◽  
G. Velotto
Keyword(s):  
Steady State ◽  
Fuel Cell ◽  
Power Quality ◽  
Primary Source ◽  
Experimental Results ◽  
Storage Device ◽  
Transient Performance ◽  
Power Sources ◽  
Hybrid Generator ◽  
Electrical Source

The paper focuses on the experimental results of a series of tests performed on a hybrid electrical source. The hybrid generator is made up of a fuel cell primary source equipped with an ultracapacitor storage device. The paper presents an examination of the steady-state and transient performance of the hybrid fuel cell-ultracapacitor source in terms of power quality. The aim is to investigate on fuel cell-ultracapacitor source’s behavior to feed pulsing loads.

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