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

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.

A New Application of Fuzzy Control - Fuzzy Control System of Cutting Motor in Hi-Frequency Straight Welded Tube Process

2011 ◽  
Vol 58-60 ◽  
pp. 1194-1199
Author(s):  
Ning Gao ◽  
Li Peng ◽  
Lin Hai Wu ◽  
Jun Jie Jiang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Speed Control ◽  
Simulation Test ◽  
Fuzzy Control System ◽  
Welded Tube

Because of the nonlinear of the cutting motor which is used in hi-frequency straight welded tube process, this paper designs a fuzzy control method used in the speed control system of the cutting motor. Furthermore, simulation test shows the control system that uses the fuzzy controller has better performances than that of the traditional PID control, which improve the dynamic performance, disturbance restraint performance and the steady precision.

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

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6679
Author(s):  
Muhammad Usama ◽  
Jaehong Kim
Keyword(s):  
Steady State ◽  
Sliding Mode ◽  
Computational Cost ◽  
Speed Control ◽  
Operating Conditions ◽  
Control Technique ◽  
Control Loop ◽  
Low Speed ◽  
Reaching Law ◽  
Control 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.

Fuzzy Control Scheme for Transportation of Ultra-Thin Flexible Substrates with Variable-Section

2012 ◽  
Vol 488-489 ◽  
pp. 706-712
Author(s):  
Lin Shao ◽  
Hai Chen Qin ◽  
Jian Kui Chen ◽  
Bo Tao
Keyword(s):  
Fuzzy Control ◽  
High Speed ◽  
Control Algorithm ◽  
Flexible Substrate ◽  
Dynamic Performance ◽  
Transient State ◽  
Flexible Substrates ◽  
Control Scheme ◽  
Variable Section ◽  
Fuzzy Control Algorithm

This paper proposes a fuzzy control scheme to achieve the high-precision and high-speed continuous transportation of ultra-thin flexible substrates with variable-section. A tension control model is presented based on the torque balance of pinches. In the model, the flexible substrate is regarded as a parallel spring-damp system, challenged by the dynamics associated with low-tension operation, besides the time-variation resulted by the variable-section. A fuzzy control algorithm is designed for the tension controller. Finally, the analysis in dynamic performance of the whole system is done using MATLAB toolbox. The simulation results show that the fuzzy control algorithm presented is effective to the tension even in transient state.

scholarly journals Stator Current-Based Model Reference Adaptive Control for Sensorless Speed Control of the Induction Motor

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Workagegn Tatek Asfu
Keyword(s):  
Induction Motor ◽  
Speed Control ◽  
Control Technique ◽  
Step Response ◽  
Model Reference ◽  
Low Speed ◽  
Stator Current ◽  
Speed Tracking ◽  
Speed Estimator ◽  
Model Reference Adaptive

This paper described that the stator current-based model reference adaptive system (MRAS) speed estimator is used for the induction motor (IM) indirect vector speed control without a mechanical speed sensor. Due to high sensitivity of motor parameters variation at low speed including zero, stability analysis of MRAS design is performed to correct any mismatch parameters value in the MRAS performed to estimate the motor speed at these values. As a result, the IM sensorless control can operate over a wide range including zero speed. The performance of the stator current-based MRAS speed estimator was analyzed in terms of speed tracking capability, torque response quickness, low speed behavior, step response of drive with speed reversal, sensitivity to motor parameter uncertainty, and speed tracking ability in the regenerative mode. The system gives a good performance at no-load and loaded conditions with parameter variation. The stator current-based MRAS estimator sensorless speed control technique can make the hardware simple and improve the reliability of the motor without introducing a feedback sensor, and it becomes more important in the modern AC IM. The sensorless vector control operation has been verified by simulation on Matlab and experimentally using Texas Instruments HVMTRPFCKIT with TMS320 F28035 DSP card and 0.18 kw AC IM.

Sensorless speed control of SPIM using BS_PCH novel control structure and NNSM_SC MRAS speed observer

2020 ◽  
Vol 39 (3) ◽  
pp. 2657-2677
Author(s):  
Ngoc Thuy Pham
Keyword(s):  
Measurement Errors ◽  
Control Structure ◽  
Sliding Mode ◽  
Current Model ◽  
Dynamic Performance ◽  
Speed Control ◽  
Fast Response ◽  
Speed Regulation ◽  
Speed Estimator ◽  
Model Reference Adaptive

This paper propose a novel Port Controlled Hamiltonian_Backstepping (PCH_BS) control structure with online tuned parameters, in combination with the modified Stator Current Model Reference Adaptive Syatem (SC_MRAS) based on speed and flux estimator using Neural Networks(NN) and sliding mode (SM) for sensorless vector control of the six phase induction motor (SPIM). The control design is based on combination PCH and BS techniques to improve its performance and robustness. The combination of BS_PCH controller with speed estimator can compensate for the uncertainties caused by the machine parameter variations, measurement errors, and external load disturbances, enables very good static and dynamic performance of the sensorless drive system (perfect tuning of the speed reference values, fast response of the motor current and torque, high accuracy of speed regulation) in a wide speed range, and robust for the disturbances of the load, the speed variation and low speed. The proposed sensorless speed control scheme is validated through Matlab-Simulink. The simulation results verify the effectiveness of the proposed control and observer.

scholarly journals Dynamic response enhancement of BDFIG using vector control scheme based internal model c ontrol

2021 ◽  
Vol 23 (1) ◽  
pp. 90
Author(s):  
Ahsanullah Memon ◽  
Mohd Wazir Mustafa ◽  
Shadi Khan Baloch ◽  
Attaullah Khidrani ◽  
Touqeer Ahmed
Keyword(s):  
Dynamic Response ◽  
Reactive Power ◽  
Dynamic Performance ◽  
Research Work ◽  
Operating Conditions ◽  
Induction Generator ◽  
Control Scheme ◽  
Slip Rings ◽  
Stator Flux ◽  
Doubly Fed

Doublefed induction generator(DFIG) has shown tremendous success inwind turbines due to its flexibility and ability to regulate the active andreactive power. However, the presence of brushes and slip rings affects itsreliability, stability, and power quality. Furthermore, itdoes not providepromising outcomes in case of faults even in presence of the crowbar circuit.In contrast, thebrushless doubly fed induction generator(BDFIG) is a morereliable option for wind turbines than its mentioned counterpart due to theabsence of the brushes and slip rings. This research work as such attempts toimprove the dynamic performance of thevector control(VC)oriented powerwinding (PW) stator flux-based BDFIG by optimally selecting theproportional-integral(PI) gains throughinternalmodel control(IMC)approach. The proposed control scheme is utilized to regulate the speed,torque, and reactive power of the considered BDFIG independently. Contraryto the previous literature where the “trial and error method” is generallyutilized, the current research work uses the IMC for selecting the mostsuitable PI parameters, thus reduces the complexity, time consumption, anduncertainty in optimal selection. The considered BDFIG based wind turbinewith the proposed control scheme provides a better BDFIG control designwith an enhanced dynamic response as compared to that of the same withDFIG under identical operating conditions and system configurations.

scholarly journals Finite-Time Adaptive Fuzzy Control for Nonlinear Systems with Unknown Backlash-Like Hysteresis

2021 ◽  
Author(s):  
Shuzhen Diao ◽  
Wei Sun ◽  
Le Wang ◽  
Jing Wu
Keyword(s):  
Fuzzy Control ◽  
Finite Time ◽  
Fuzzy Systems ◽  
Tracking Error ◽  
Adaptive Fuzzy Control ◽  
Finite Time Stability ◽  
Adaptive Fuzzy ◽  
Intermediate Variable ◽  
Control Scheme ◽  
Theoretical Results

AbstractThis study considers the tracking control problem of the nonstrict-feedback nonlinear system with unknown backlash-like hysteresis, and a finite-time adaptive fuzzy control scheme is developed to address this problem. More precisely, the fuzzy systems are employed to approximate the unknown nonlinearities, and the design difficulties caused by the nonlower triangular structure are also overcome by using the property of fuzzy systems. Besides, the effect of unknown hysteresis input is compensated by approximating an intermediate variable. With the aid of finite-time stability theory, the proposed control algorithm could guarantee that the tracking error converges to a smaller region. Finally, a simulation example is provided to further verify the above theoretical results.

scholarly journals Bidirectional Power Sharing for DC Microgrid Enabled by Dual Active Bridge DC-DC Converter

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 404
Author(s):  
Sara J. Ríos ◽  
Daniel J. Pagano ◽  
Kevin E. Lucas
Keyword(s):  
Power Management ◽  
Distribution Systems ◽  
Control Method ◽  
Dynamic Performance ◽  
Management Control ◽  
Photovoltaic System ◽  
Dc Microgrid ◽  
Dual Active Bridge ◽  
Control Scheme ◽  
Bidirectional Power Flow

Currently, high-performance power conversion requirements are of increasing interest in microgrid applications. In fact, isolated bidirectional dc-dc converters are widely used in modern dc distribution systems. The dual active bridge (DAB) dc-dc converter is identified as one of the most promising converter topology for the mentioned applications, due to its benefits of high power density, electrical isolation, bidirectional power flow, zero-voltage switching, and symmetrical structure. This study presents a power management control scheme in order to ensure the power balance of a dc microgrid in stand-alone operation, where the renewable energy source (RES) and the battery energy storage (BES) unit are interfaced by DAB converters. The power management algorithm, as introduced in this work, selects the proper operation of the RES system and BES system, based on load/generation power and state-of-charge of the battery conditions. Moreover, a nonlinear robust control strategy is proposed when the DAB converters are in voltage-mode-control in order to enhance the dynamic performance and robustness of the common dc-bus voltage, in addition to overcoming the instability problems that are caused by constant power loads and the dynamic interactions of power electronic converters. The simulation platform is developed in MATLAB/Simulink, where a photovoltaic system and battery system are selected as the typical RES and BES, respectively. Assessments on the performance of the proposed control scheme are conducted. Comparisons with the other control method are also provided.

scholarly journals Design of a Decoupling Fuzzy Control Scheme for Omnidirectional Inverted Pendulum Real-World Control

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 26083-26092
Author(s):  
Chih-Hui Chiu ◽  
Yao-Ting Hung ◽  
Ya-Fu Peng
Keyword(s):  
Fuzzy Control ◽  
Real World ◽  
Inverted Pendulum ◽  
Control Scheme
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