Model Reference Adaptive Control Scheme for Retuning Method-Based Fractional-Order PID Control with Disturbance Rejection Applied to Closed-Loop Control of a Magnetic Levitation System

2018 ◽  
Vol 27 (11) ◽  
pp. 1850176 ◽  
Author(s):  
Aleksei Tepljakov ◽  
Baris Baykant Alagoz ◽  
Emmanuel Gonzalez ◽  
Eduard Petlenkov ◽  
Celaleddin Yeroglu
Keyword(s):  
Pid Control ◽  
Disturbance Rejection ◽  
Closed Loop ◽  
Magnetic Levitation ◽  
Control Performance ◽  
Control Loop ◽  
Loop Control ◽  
Disturbance Rejection Control ◽  
Fractional Order Pid ◽  
Model Reference Adaptive

This study demonstrates the utilization of model reference adaptive control (MRAC) for closed-loop fractional-order PID (FOPID) control of a magnetic levitation (ML) system. Design specifications of ML transportation systems require robust performance in the presence of environmental disturbances. Numerical and experimental results demonstrate that incorporation of MRAC and FOPID control can improve the disturbance rejection control performance of ML systems. The proposed multiloop MRAC–FOPID control structure is composed of two hierarchical loops which are working in conjunction to improve robust control performance of the system in case of disturbances and faults. In this multiloop approach, an inner loop performs a regular closed-loop FOPID control, and the outer loop performs MRAC based on Massachusetts Institute of Technology (MIT) rule. These loops are integrated by means of the input-shaping technique and therefore no modification of any parameter of the existing closed-loop control system is necessary. This property provides a straightforward design solution that allows for independent design of each loop. To implement FOPID control of the ML system, a retuning technique is used which allows transforming an existing PID control loop into an FOPID control loop. This paper presents the simulation and experimental results and discusses possible contributions of multiloop MRAC–FOPID structure to disturbance rejection control of the ML system.

scholarly journals A NARX Model Reference Adaptive Control Scheme: Improved Disturbance Rejection Fractional-Order PID Control of an Experimental Magnetic Levitation System

Algorithms ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 201
Author(s):  
Hossein Alimohammadi ◽  
Baris Baykant Alagoz ◽  
Aleksei Tepljakov ◽  
Kristina Vassiljeva ◽  
Eduard Petlenkov
Keyword(s):  
Control System ◽  
Disturbance Rejection ◽  
Closed Loop ◽  
Control Structure ◽  
Magnetic Levitation ◽  
Reference Model ◽  
Control Performance ◽  
Control Loops ◽  
Model Reference Adaptive ◽  
Narx Model

Real control systems require robust control performance to deal with unpredictable and altering operating conditions of real-world systems. Improvement of disturbance rejection control performance should be considered as one of the essential control objectives in practical control system design tasks. This study presents a multi-loop Model Reference Adaptive Control (MRAC) scheme that leverages a nonlinear autoregressive neural network with external inputs (NARX) model in as the reference model. Authors observed that the performance of multi-loop MRAC-fractional-order proportional integral derivative (FOPID) control with MIT rule largely depends on the capability of the reference model to represent leading closed-loop dynamics of the experimental ML system. As such, the NARX model is used to represent disturbance-free dynamical behavior of PID control loop. It is remarkable that the obtained reference model is independent of the tuning of other control loops in the control system. The multi-loop MRAC-FOPID control structure detects impacts of disturbance incidents on control performance of the closed-loop FOPID control system and adapts the response of the FOPID control system to reduce the negative effects of the additive input disturbance. This multi-loop control structure deploys two specialized control loops: an inner loop, which is the closed-loop FOPID control system for stability and set-point control, and an outer loop, which involves a NARX reference model and an MIT rule to increase the adaptation ability of the system. Thus, the two-loop MRAC structure allows improvement of disturbance rejection performance without deteriorating precise set-point control and stability characteristics of the FOPID control loop. This is an important benefit of this control structure. To demonstrate disturbance rejection performance improvements of the proposed multi-loop MRAC-FOPID control with NARX model, an experimental study is conducted for disturbance rejection control of magnetic levitation test setup in the laboratory. Simulation and experimental results indicate an improvement of disturbance rejection performance.

Excitation Liquid-Cooled Retarder Control System Design Based on MC9SXS128

2014 ◽  
Vol 525 ◽  
pp. 583-587
Author(s):  
Bing Tu ◽  
Wei Zhang ◽  
Teng Xi Zhan
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Closed Loop ◽  
Good Control ◽  
Control Performance ◽  
Loop Control ◽  
Closed Loop Control System ◽  
Loop Control System ◽  
Application Requirements

This paper presented a excitation liquid-cooled retarder control system based on a microprocessor MC9SXS128. In order to achieve the constant speed, It used PWM to adjust the output current of excitation liquid-cooled retarder. It analyzed and calculated the inductance value in PWM output circuit and also analyzed the excitation liquid-cooled retarder control systematical mathematical model . It divided the brake stalls based on the current flowing through the field coil. by adding the PID closed-loop control system, the retarder could quickly reach the set speed. It tested the PID control algorithm at the experiments in retarder drum test rig and the results show that the control algorithm has good control performance to meet the application requirements.

Implementation and Nonlinear Stabilization of a MIMO Magnetic Levitation System

2011 ◽  
Author(s):  
Jiaji Zhang ◽  
Xuesong Mei ◽  
Dongsheng Zhang ◽  
Yun Zhang ◽  
Jian Sun
Keyword(s):  
Disturbance Rejection ◽  
Control Algorithm ◽  
Magnetic Levitation ◽  
Sliding Mode ◽  
Double Loop ◽  
Terminal Sliding Mode ◽  
Loop Control ◽  
Disturbance Rejection Control ◽  
Levitation System ◽  
Magnetic Levitation System

This paper presents the implementation of a three degree-of-freedom magnetic levitation system. First the dynamic model of the magnetic levitation is developed. Then based on the nonlinear model, a robust nonlinear double-loop control algorithm is applied to stabilize the system. The double-loop control architecture consists of two components: 1) terminal sliding mode control (TSMC) is employed in the outer loop to stabilize the rigid dynamic model while maintains robustness.2) Auto disturbance rejection control (ADRC) is applied in the inner loop as a current loop controller to track current command. Finally, experimental results are presented to illustrate the performance of the system dynamic response and current response in each coil. The experiment results show that the terminal sliding mode algorithm combined with auto disturbance rejection control algorithm is effective in the nonlinear MIMO magnetic levitation system.

scholarly journals Multi-Loop Model Reference Proportional Integral Derivative Controls: Design and Performance Evaluations

Algorithms ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 38
Author(s):  
Baris Baykant Alagoz ◽  
Aleksei Tepljakov ◽  
Eduard Petlenkov ◽  
Celaleddin Yeroglu
Keyword(s):  
Pid Control ◽  
Disturbance Rejection ◽  
Control Performance ◽  
Model Reference ◽  
Loop Control ◽  
Control Structures ◽  
Set Point ◽  
Control Loops ◽  
Point Control ◽  
Set Point Control

Due to unpredictable and fluctuating conditions in real-world control system applications, disturbance rejection is a substantial factor in robust control performance. The inherent disturbance rejection capacity of classical closed loop control systems is limited, and an increase in disturbance rejection performance of single-loop control systems affects the set-point control performance. Multi-loop control structures, which involve model reference control loops, can enhance the inherent disturbance rejection capacity of classical control loops without degrading set-point control performance; while the classical closed Proportional Integral Derivative (PID) control loop deals with stability and set-point control, the additional model reference control loop performs disturbance rejection control. This adaptive disturbance rejection, which does not influence set-point control performance, is achieved by selecting reference models as transfer functions of real control systems. This study investigates six types of multi-loop model reference (ML-MR) control structures for PID control loops and presents straightforward design schemes to enhance the disturbance rejection control performance of existing PID control loops. For this purpose, linear and non-linear ML-MR control structures are introduced, and their control performance improvements and certain inherent drawbacks of these structures are discussed. Design examples demonstrate the benefits of the ML-MR control structures for disturbance rejection performance improvement of PID control loops without severely deteriorating their set-point performance.

The Simulation Analysis of Control Performance on Closed-Loop Control the Digital Hydraulic Cylinder

2013 ◽  
Vol 288 ◽  
pp. 219-222
Author(s):  
Dong Hai Su ◽  
Xin Li ◽  
Yue Ling Wang
Keyword(s):  
Pid Control ◽  
Closed Loop ◽  
Simulation Analysis ◽  
Hydraulic Cylinder ◽  
Control Performance ◽  
Fuzzy Pid Control ◽  
Loop Control ◽  
Working Principle ◽  
Response State ◽  
Close Loop Control

The working principle and design features of close-loop control digital stepping hydraulic cylinder were described, the ways to improve precision were analyzed. Base on the detailed analysis to response state of PID control, technology of fuzzy control and table the arithmetic of fuzzy-PID control was applied, which preferably satisfied control request.

scholarly journals Superheated Steam Temperature Control Based on a Hybrid Active Disturbance Rejection Control

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1757 ◽  
Author(s):  
Gengjin Shi ◽  
Zhenlong Wu ◽  
Jian Guo ◽  
Donghai Li ◽  
Yanjun Ding
Keyword(s):  
Control Strategy ◽  
Disturbance Rejection ◽  
Superheated Steam ◽  
Active Disturbance Rejection Control ◽  
Control Performance ◽  
Steam Temperature ◽  
Loop Control ◽  
Superheated Steam Temperature ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control

Superheated steam temperature (SST) is a significant index for a coal-fired power plant. Its control is becoming more and more challenging for the reason that the control requirements are stricter and the load command changes extensively and frequently. To deal with the aforementioned challenges, previously the cascade control strategy was usually applied to the control of SST. However, its structure and tuning procedure are complex. To solve this problem, this paper proposes a single-loop control strategy for SST based on a hybrid active disturbance rejection control (ADRC). The stability and ability to reject the secondary disturbance are analyzed theoretically in order to perfect the theory of the hybrid ADRC. Then a tuning procedure is summarized for the hybrid ADRC by analyzing the influences of all parameters on control performance. Using the proposed tuning method, a simulation is carried out illustrating that the hybrid ADRC is able to improve the dynamic performance of SST with good robustness. Eventually, the hybrid ADRC is applied to the SST system of a power plant simulator. Experimental results indicate that the single-loop control strategy based on the hybrid ADRC has better control performance and simpler structure than cascade control strategies. The successful application of the proposed hybrid ADRC shows its promising prospect of field tests in future power industry with the increasing demand on integrating more renewables into the grid.

scholarly journals Dual Closed-Loop Linear Active Disturbance Rejection Control of Grid-Side Converter of Permanent Magnet Direct-Drive Wind Turbine

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1090 ◽  
Author(s):  
Youjie Ma ◽  
Xia Yang ◽  
Xuesong Zhou ◽  
Luyong Yang ◽  
Yongliang Zhou
Keyword(s):  
Permanent Magnet ◽  
Wind Power ◽  
Disturbance Rejection ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Direct Drive ◽  
Loop Control ◽  
Disturbance Rejection Control ◽  
Dc Bus ◽  
Bus Voltage

In the permanent magnet direct-drive wind power grid-connected system, in order to solve the coupling problem between d -axis and q -axis currents and to improve the disturbance rejection performance of direct current (DC) bus voltage under grid faults, a new dual closed-loop structure based on linear active disturbance rejection control (LADRC) is proposed. This new dual closed-loop control includes current inner loop decoupling control and DC bus voltage outer loop control with first-order LADRC. As the LADRC has the advantages of decoupling and disturbances rejection, it is applied to the control of wind power grid-connected inverter. Through analysis, it is demonstrated that the current decoupling control is simpler than proportional integral (PI) control algorithm, the dynamic response speed is faster, and the DC bus voltage control has better anti-disturbance. Finally, a 1.5 MW direct-drive permanent magnet wind power system was established through digital simulation, and the control effects of the two control modes under different working conditions are compared. The simulation results verify that the proposed dual closed-loop control based on first-order LADRC is superior to PI double closed-loop control in terms of decoupling performance and disturbance rejection performance under grid faults.

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