Low-Speed Transient and Steady-State Performance Analysis of IPMSM for Nonlinear Speed Regulator with Effective Compensation Scheme

The speed response of the interior permanent magnet synchronous motor (IPMSM) drive at low speeds was analyzed. To eliminate the effect of external disturbance or parameter uncertainty, a nonlinear speed control loop was designed based on the sliding-mode exponential reaching law, which reduces chatter, which is the major drawback of the constant reaching law sliding-mode control technique. The proposed nonlinear speed control eliminates speed ripples at low speed under load disturbance. The problem of speed convergence at low speed is caused by electromagnetic torque ripples, which cause shaft speed oscillations that affect drive performance. The main objective of the proposed method is to change the traditional IPMSM control design by compensating with an appropriate signal along the reference current and across the output of the speed control loop. To optimize the speed tracking performance during disturbances or parametric variations, a nonlinear speed control scheme is designed that can vigorously adapt to the change in the controlled system. The comparative analysis shows that the method provides excellent transient performance (e.g., fast convergence response, less overshoot, and fast settling time) and standstill performance (e.g., reduced steady-state error) compared with conventional control methods at low speed under varying load conditions. The method is easy to implement and does not require additional computational cost. To demonstrate the effectiveness and feasibility of the design approach, a numerical analysis was conducted, and the control scheme was verified using MATLAB/Simulink considering various operating conditions.

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Speed Control Using an Integral Sliding Mode Controller for a Three-Phase Induction Motor

Journal of Techniques ◽

10.51173/jt.v3i3.328 ◽

2021 ◽

Vol 3 (3) ◽

pp. 10-19

Author(s):

Samar Abdulkareem AL-Hashemi ◽

Ayad AL-Dujaili ◽

Ahmed R. Ajel

Keyword(s):

Steady State ◽

Induction Motor ◽

High Efficiency ◽

Sliding Mode ◽

Speed Control ◽

Pi Controller ◽

Operating Conditions ◽

Sliding Mode Controller ◽

Integral Sliding Mode ◽

Three Phase

Induction motors are widely used in commercial and industrial applications due to their robustness, high efficiency, low maintenance requirements and durability among other reasons. Consequently, their speed should be controlled for better performance. This paper describes utilization of a scalar speed control of a three-phase squirrel cage induction motor (SCIM) to control a motor’s speed using an integral sliding mode controller (ISMC). The controller was tested under various operating conditions. The results are compared with a case employing a conventional PI controller. It was found that speed control by ISMC has a 0.16 RPM steady-state error, 0.03 s to reach steady-state from a standstill, and a 5% overshoot. All of these are lower values as compared to the results of a conventional PI controller. In this paper, the robustness of each controller to uncertainties is checked. Simulation results show the advantages of ISMC control methods. The system is simulated using MATLAB SIMULINK R2017a.

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Control of Chaos in a Single Machine Infinite Bus Power System Using the Discrete Sliding Mode Control Technique

Discrete Dynamics in Nature and Society ◽

10.1155/2018/5758324 ◽

2018 ◽

Vol 2018 ◽

pp. 1-14 ◽

Cited By ~ 4

Author(s):

Mohamed Zribi ◽

Muthana T. Alrifai ◽

Nejib Smaoui

Keyword(s):

Sliding Mode Control ◽

Power System ◽

Discrete Time ◽

Sliding Mode ◽

Initial Conditions ◽

Control Technique ◽

Reaching Law ◽

Mode Control ◽

Control Scheme ◽

Simulation Results

Under certain conditions, power systems may exhibit chaotic behaviors which are harmful and undesirable. In this paper, the discrete time sliding mode control technique is used to control a chaotic power system. The objective of the control is to eliminate the chaotic oscillations and to bring order to the power system. Two discrete time sliding mode control (DSMC) schemes are proposed for a fourth order discrete time chaotic power system. The first DSMC control scheme is based on the well-known exponential reaching law. The second DSMC control scheme is based on the recently developed double power reaching law. It is shown that the states of the controlled system converge to their desired values. Simulation results are presented for different values of the gains of the controllers as well as for different initial conditions. These results indicate that both control schemes work well. However, the simulation results show that the second control scheme gave better results since it was able to greatly reduce the chattering problem.

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Improved Load Sharing Control Techniques for Inverters used in a Microgrid

International Journal of Emerging Electric Power Systems ◽

10.2202/1553-779x.2024 ◽

2009 ◽

Vol 10 (1) ◽

Cited By ~ 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.

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Research on Power Regulation Schedule Control System for Turboprop Engine

International Journal of Turbo and Jet Engines ◽

10.1515/tjj-2018-0023 ◽

2018 ◽

Vol 0 (0) ◽

Author(s):

Tianqian Xia ◽

Xianghua Huang

Keyword(s):

Control System ◽

Steady State ◽

Fuel Consumption ◽

Reference Model ◽

Sliding Mode ◽

Speed Control ◽

Variable Speed ◽

Turboprop Engine ◽

Speed Control System ◽

Variable Speed Control

Abstract A method of variable speed control system for turboprop engine is presented in this paper. Firstly, the steady operation state of turboprop engine is analyzed, and the operating line is figured out in the steady state characteristic diagram, which is the design basis of Engine Thrust Management System (ETMS). Secondly, the reference model sliding mode multivariable control is used to design the control law to follow the speed instructions given by ETMS. Finally, the optimization of the minimum fuel consumption operating curve is realized, and the control system designed is applied to a numerical model of a turboprop engine. The simulation results show that compared with the constant speed control system, the variable speed control system can reduce the specific fuel consumption by 2.37 % on average and 3.1 % in steady state conditions. Furthermore, the method can enable the pilot to manipulate the turboprop aircraft by using only one throttle lever, which can greatly reduce the pilot operation burden.

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A Novel Fuzzy Adaptive Speed Estimator for Space Vector Modulated DTFC of AC Drives

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.4850 ◽

2011 ◽

Vol 403-408 ◽

pp. 4850-4858

Author(s):

Jagadish H. Pujar ◽

S. F. Kodad

Keyword(s):

Fuzzy Control ◽

Adaptive Systems ◽

Dynamic Performance ◽

Research Work ◽

Speed Control ◽

Adaptation Mechanism ◽

Low Speed ◽

Ac Drives ◽

Control Scheme ◽

Speed Estimator

In this paper a novel sensorless speed control scheme of Induction Motor (IM) by means of Direct Torque Fuzzy Control (DTFC), PI-type fuzzy speed regulator and fuzzy based Model Reference Adaptive Systems (MRAS) speed estimator strategies has been proposed, which seems to be a boom in sensorless speed control schemes of AC drives. Normally, the conventional sensorless speed control performance of IM drive deteriorates at low speed. Hence the attention has been focused to improve the performance of the IM drive at low speed range as well, by implementing fuzzy control strategies. So, this research work describes a novel adaptive fuzzy based speed estimation mechanism which replaces the conventional PI controller used in MRAS adaptation mechanism. The proposed scheme is validated through extensive numerical simulations on MATLAB. The simulated results signify that the proposed control scheme provides satisfactory high dynamic performance and robustness during low speed operations of IM drive compare to conventional sensorless speed estimator of DTFC scheme.

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Synchronization of Synchronous Reluctance Motors Using the Discrete Sliding Mode Control Technique

Mathematical Problems in Engineering ◽

10.1155/2019/5765390 ◽

2019 ◽

Vol 2019 ◽

pp. 1-13 ◽

Cited By ~ 1

Author(s):

Salahuddin Abdul Rahman ◽

Mohamed Zribi ◽

Nejib Smaoui

Keyword(s):

Sliding Mode Control ◽

Sliding Mode ◽

Chaotic Behavior ◽

Initial Conditions ◽

Control Technique ◽

Mode Control ◽

Synchronous Reluctance Motor ◽

Control Scheme ◽

Bounded Disturbances ◽

Simulation Results

The synchronous reluctance motor (SynRM) drive system is known to exhibit chaotic behavior under specified conditions. In this paper, the discrete-time sliding mode control (DSMC) technique is used to synchronize two SynRMs starting from different sets of initial conditions. The mixed variable speed reaching law is adopted in the design of the controller scheme. The parameters of the designed control scheme are tuned using a genetic algorithm (GA). Simulation results are presented to demonstrate the effectiveness of the proposed controller. In addition, the performance of the proposed control scheme is studied through simulations when bounded disturbances and mismatches between the parameters of the systems and those of the control scheme exist. The simulation results show that the designed control scheme is robust to bounded external disturbances and to mismatches in the parameters of the systems.

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A New Backstepping Sliding Control Technique for Hybrid Vehicles Engine Idle Speed Control

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.466-467.901 ◽

2012 ◽

Vol 466-467 ◽

pp. 901-906

Author(s):

Dong Song Luo ◽

Hai Feng Zhao

Keyword(s):

Sliding Mode ◽

Speed Control ◽

Hybrid Vehicles ◽

Control Technique ◽

Simplified Model ◽

Sliding Mode Controller ◽

Control Performance ◽

Idle Speed ◽

Idle Speed Control ◽

Simulation Results

In the paper, the idle speed control problem for hybrid vehicles engine is investigated. The mathematics equations about dynamic characteristic of engine’s primary subsystems are presented in the view of the physical characters of engine. A new back stepping sliding mode controller was designed based on the simplified model of engine, and the simulation results show the great improvement of engine control performance, especially to overcome the disturbance.

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Design and Analysis of Adaptive Sliding Mode with Exponential Reaching Law Control for Double-Fed Induction Generator Based Wind Turbine

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v9.i4.pp1534-1544 ◽

2018 ◽

Vol 9 (4) ◽

pp. 1534 ◽

Cited By ~ 1

Author(s):

Kheira Belgacem ◽

Abelkader Mezouar ◽

Najib Essounbouli

Keyword(s):

Wind Turbine ◽

Sliding Mode ◽

Control Unit ◽

Electrical Energy ◽

Superior Performance ◽

Control Technique ◽

Induction Generator ◽

Reaching Law ◽

Exponential Reaching Law ◽

Double Fed Induction Generator

<p>The main objective of this paper is to continue the development of activities of basic and applied research related to wind energy and to develop methods of optimal control to improve the performance and production of electrical energy from wind. A new control technique of Double fed induction generator for wind turbine is undertaken through a robust approach tagged nonlinear sliding mode control (SMC) with exponential reaching law control (ERL). The SMC with ERL proves to be capable of reducing the system chattering phenomenon as well as accelerating the approaching process. A nonlinear case numerical simulation test is employed to verify the superior performance of the ERL method over traditional power rate reaching strategy. Results obtained in Matlab/Simulink environment show that the SMC with ERL is more robust, prove excellent performance for the control unit by improving power quality and stability of wind turbine.</p>

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An Adaptive Hierarchical Sliding Mode Controller for Autonomous Underwater Vehicles

Electronics ◽

10.3390/electronics10182316 ◽

2021 ◽

Vol 10 (18) ◽

pp. 2316

Author(s):

Quang Van Vu ◽

Tuan Anh Dinh ◽

Thien Van Nguyen ◽

Hoang Viet Tran ◽

Hai Xuan Le ◽

...

Keyword(s):

Adaptive Learning ◽

Autonomous Underwater Vehicle ◽

Sliding Mode ◽

Autonomous Underwater Vehicles ◽

Lyapunov Theory ◽

Control Technique ◽

External Disturbances ◽

Control Scheme ◽

Hierarchical Sliding Mode ◽

Over Time

The paper addresses a problem of efficiently controlling an autonomous underwater vehicle (AUV), where its typical underactuated model is considered. Due to critical uncertainties and nonlinearities in the system caused by unavoidable external disturbances such as ocean currents when it operates, it is paramount to robustly maintain motions of the vehicle over time as expected. Therefore, it is proposed to employ the hierarchical sliding mode control technique to design the closed-loop control scheme for the device. However, exactly determining parameters of the AUV control system is impractical since its nonlinearities and external disturbances can vary those parameters over time. Thus, it is proposed to exploit neural networks to develop an adaptive learning mechanism that allows the system to learn its parameters adaptively. More importantly, stability of the AUV system controlled by the proposed approach is theoretically proved to be guaranteed by the use of the Lyapunov theory. Effectiveness of the proposed control scheme was verified by the experiments implemented in a synthetic environment, where the obtained results are highly promising.

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