The EKF Senorless Control Strategy of Permanent Magnet Synchronous Motor Adaptive Backstepping Control System

2012 ◽  
Vol 249-250 ◽  
pp. 1166-1172 ◽  
Author(s):  
Yang Ji
Keyword(s):  
Control System ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Backstepping Control ◽  
Adaptive Backstepping ◽  
Static Performance ◽  
Backstepping Controller ◽  
The Mathematical Model ◽  
Adaptive Backstepping Controller ◽  
Method Show

For the unsatisfactory of the traditional linear control methods, on the basis of the mathematical model of PMSM, a combination of backstepping control method based on the Lyapunov function and adaptive control method is used in the speed control system of PMSM. A method of estimating the rotor position and speed based in extended Kalman filter (EKF) for PMSM is proposed. A simulation model of PMSM using the designed adaptive backstepping controller with EKF is built. The results of simulation using the control method show the preferably dynamic and stable-static performance of the system, and prove its effectiveness.

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 Designing Backstepping Control System for Hypersonic Vehicle Based on Feedback Linearization

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Jianli Wei ◽  
Huan Chen
Keyword(s):  
Control System ◽  
Feedback Linearization ◽  
Control Method ◽  
Control Volume ◽  
Parametric Uncertainty ◽  
Linearization Method ◽  
Backstepping Control ◽  
Robust Adaptive Control ◽  
Adaptive Backstepping ◽  
Robust Adaptive

A hypersonic vehicle uses the airbreathing scramjet engine and the airframe and engine integrated design. Therefore, there is a strong cross-coupling effect among its aerodynamic force, thrust, structure, and control. The nonlinearity and uncertainty of the model cause difficulties in control system design. Considering the nonlinearity, coupling characteristics, and aerodynamic parametric uncertainty of its longitudinal dynamic model, we design the control law for its altitude system and velocity system based on the adaptive backstepping control method. Because of the feedback linearization method, we introduce the constraints of the flight vehicle’s actuator into the design, obtaining the robust adaptive control system constrained by the actuator of the flight vehicle. To avoid the high-order derivation problem of the feedback linearization method and the derivation of the virtual control volume in adaptive backstepping control method, we use the arbitrary-order robust exact differentiator to solve the high-order derivatives in feedback linearization and utilize the command filter to obtain the virtual control volume and its derivatives. The simulation results show that the robust adaptive control system we designed can achieve the error-free tracking of altitude and velocity command. It can well overcome the influence of structural parameters, aerodynamic parametric uncertainty, and disturbances; meanwhile, the control command can satisfy the constraints of the actuator.

scholarly journals A new 3-D jerk chaotic system with two cubic nonlinearities and its adaptive backstepping control

2017 ◽  
Vol 27 (3) ◽  
pp. 409-439 ◽  
Author(s):  
Sundarapandian Vaidyanathan
Keyword(s):  
Lyapunov Exponents ◽  
Chaotic System ◽  
Backstepping Control ◽  
Phase Portraits ◽  
The Novel ◽  
Adaptive Backstepping ◽  
Unknown Parameters ◽  
Recursive Procedure ◽  
Backstepping Controller ◽  
Adaptive Backstepping Controller

AbstractThis paper presents a new seven-term 3-D jerk chaotic system with two cubic nonlinearities. The phase portraits of the novel jerk chaotic system are displayed and the qualitative properties of the jerk system are described. The novel jerk chaotic system has a unique equilibrium at the origin, which is a saddle-focus and unstable. The Lyapunov exponents of the novel jerk chaotic system are obtained as L1= 0:2974, L2= 0 and L3= −3:8974. Since the sum of the Lyapunov exponents of the jerk chaotic system is negative, we conclude that the chaotic system is dissipative. The Kaplan-Yorke dimension of the new jerk chaotic system is found as DKY= 2:0763. Next, an adaptive backstepping controller is designed to globally stabilize the new jerk chaotic system with unknown parameters. Moreover, an adaptive backstepping controller is also designed to achieve global chaos synchronization of the identical jerk chaotic systems with unknown parameters. The backstepping control method is a recursive procedure that links the choice of a Lyapunov function with the design of a controller and guarantees global asymptotic stability of strict feedback systems. MATLAB simulations are shown to illustrate all the main results derived in this work.

The Simulation of Rotor Field Oriented Control of PMSM

2014 ◽  
Vol 1016 ◽  
pp. 661-665
Author(s):  
Feng Ou ◽  
Hong Chen ◽  
Ying Chen
Keyword(s):  
Control System ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Servo Control ◽  
Field Oriented Control ◽  
Loop Control ◽  
Servo Control System ◽  
Static Performance ◽  
High Dynamic ◽  
Rotor Field Oriented Control

Permanent magnet synchronous motor (PMSM) has been widely in production and everyday life, and its control system has been a difficult point needing more researches. Therefore, it is important to investigate the control system of PMSM. In order to ensure the dynamic and static performance of PMSM, this paper presents a new vector control method based on the rotor field oriented control (RFOC) technology. The paper introduces the fundamental principal of RFOC, and designs three loop servo control simulation system and analyses the result of the simulation. The results shows that the RFOC system has high dynamic and static performance by adopting the three loop control. And the analysis can also provide a reference for similar servo control system design personnel.

scholarly journals Position Output Adaptive Backstepping Control of Electro-Hydraulic Servo Closed-Pump Control System

Processes ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 2209
Author(s):  
Gexin Chen ◽  
Huilong Liu ◽  
Pengshuo Jia ◽  
Gengting Qiu ◽  
Haohui Yu ◽  
...  
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Parameter Uncertainty ◽  
Position Control ◽  
Control Method ◽  
Backstepping Control ◽  
Adaptive Backstepping ◽  
Control Effect ◽  
Adaptive Backstepping Control ◽  
Hydraulic Servo

A nonlinear adaptive backstepping control method was proposed to address the system parameter uncertainty problem in the position control process of an electro-hydraulic servo closed-pump control system. This control strategy fully considers the parameter uncertainty of the nonlinear system and establishes the adaptive rate of the uncertain parameter to adjust the parameter disturbance online in real time, thereby improving the accuracy and robustness of the control system. A pump control system experiment platform was used to verify the feasibility of the controller. The experimental results showed that the proposed control strategy provided a good control effect. The pump control system can be controlled with high precision, with a steady-state control accuracy of ±0.02 mm, which serves as a good foundation for the engineering application and promotion of the pump control system.

scholarly journals Composite adaptive backstepping controller design and the energy calculation for active suspension system

2021 ◽  
Vol 104 (2) ◽  
pp. 003685042110105
Author(s):  
Xiaoyu Su ◽  
Bin Lin ◽  
Shuai Liu
Keyword(s):  
Adaptive Algorithm ◽  
Power Calculation ◽  
Calculation Formula ◽  
Adaptive Backstepping ◽  
Adaptive Law ◽  
Car Suspension ◽  
Backstepping Controller ◽  
Suspension Model ◽  
Storage Characteristics ◽  
Adaptive Backstepping Controller

The half-car suspension has the coupling of pitch angle and front and rear suspension. Especially when the suspension model has a series of uncertainties, the traditional linear control method is difficult to be applied to the half-car suspension model. At present, there is no systematic method to solve the suspension power. According to the energy storage characteristics of the elastic components of the suspension, the power calculation formula is proposed in this paper. This paper proposes a composite adaptive backstepping control scheme for the half-car active suspension systems. In this method, the correlation information between the output error and the parameter estimation error is used to construct the adaptive law. According to the energy storage characteristics of the elastic components of the suspension, the power calculation formula is introduced. The compound adaptive law and the ordinary adaptive law have good disturbance suppression, both of which can solve the pitching angle problem of the semi-car suspension, but the algorithm of the compound adaptive law is superior in effect. In terms of vehicle comfort, the algorithm of the general adaptive law can achieve stability quickly, but compared with the composite adaptive law, its peak value and jitter are higher, while the algorithm of the composite adaptive law is relatively gentle and has better adaptability to human body. In terms of vehicle handling, both control algorithms can maintain driving safety under road excitation, and the compound adaptive algorithm appears to have more advantages. Compared with the traditional adaptive algorithm, the power consumption of the composite adaptive algorithm is relatively lower than that of the former in the whole process. The simulation results show that the ride comfort, operating stability and safety of the vehicle can be effectively improved by the composite adaptive backstepping controller, and the composite adaptive algorithm is more energy-saving than the conventional adaptive algorithm based on projection operator.

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