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 Discrete-time Sensorless Control Using new BS_SM Controller structure and VM_ SC MRAS Adaptive Speed Observer for The propulsion system of Ship

2021 ◽  
Vol 19 ◽  
pp. 257-267
Author(s):  
Ngoc Thuy Pham
Keyword(s):  
Measurement Errors ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Fast Response ◽  
Propulsion System ◽  
Neuron Network ◽  
Control Approach ◽  
Speed Regulation ◽  
Sensorless Vector Control ◽  
Simulation Results

In this paper, a (BS_SM) new Backstepping_ Sliding mode controll structure combined with a (VM_SC_ MRAS) improved stator current MRAS based on adaptive speed observer using neuron network and sliding mode are proposed to sensorless vector control for The propulsion system of Ship. The design of the controller is based on new BS and SM sructure to improve its performance and robustness. VM_SC_ MRAS improved adaptive speed observer is proposed to estimate the speed of propeller. The combination of BS-SM controller with VM_SC_MRAS adaptive speed observer can compensate for the uncertainties caused by the machine parameter variations, measurement errors, and load disturbances, improving dynamic performance and enhancing the robustness of the SPIM drive system, perfect tuning of the speed reference values, fast response of the motor current and torque, high accuracy of speed regulation. The simulation results lead to the conclusion that the proposed system for the propulsion system of ship is feasible. The simulation results on a test ship propelled showed that the proposed control approach operates satisfactorily

scholarly journals Discrete-time Sensorless Control Using new BS_SM Controller structure and VM_ SC MRAS Adaptive Speed Observer for The propulsion system of Ship

2021 ◽  
Vol 20 ◽  
pp. 1-11
Author(s):  
Ngoc Thuy Pham
Keyword(s):  
Measurement Errors ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Fast Response ◽  
Propulsion System ◽  
Neuron Network ◽  
Control Approach ◽  
Speed Regulation ◽  
Sensorless Vector Control ◽  
Simulation Results

In this paper, a (BS_SM) new Backstepping_ Sliding mode controll structure combined with a (VM_SC_ MRAS) improved stator current MRAS based on adaptive speed observer using neuron network and sliding mode are proposed to sensorless vector control for The propulsion system of Ship. The design of the controller is based on new BS and SM sructure to improve its performance and robustness. VM_SC_ MRAS improved adaptive speed observer is proposed to estimate the speed of propeller. The combination of BS-SM controller with VM_SC_MRAS adaptive speed observer can compensate for the uncertainties caused by the machine parameter variations, measurement errors, and load disturbances, improving dynamic performance and enhancing the robustness of the SPIM drive system, perfect tuning of the speed reference values, fast response of the motor current and torque, high accuracy of speed regulation. The simulation results lead to the conclusion that the proposed system for the propulsion system of ship is feasible. The simulation results on a test ship propelled showed that the proposed control approach operates satisfactorily.

scholarly journals A novel sliding mode single-loop speed control method based on disturbance observer for permanent magnet synchronous motor drives

2018 ◽  
Vol 10 (12) ◽  
pp. 168781401881527 ◽  
Author(s):  
Xudong Liu ◽  
Ke Li
Keyword(s):  
Permanent Magnet ◽  
Disturbance Observer ◽  
Control Structure ◽  
Control Method ◽  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Speed Control ◽  
Synchronous Motor ◽  
Motor Drives ◽  
Sliding Mode Controller

A novel speed control method based on sliding mode control and disturbance observer is studied for permanent magnet synchronous motor drives. Different from the conventional speed and current cascade control structure in the field-oriented vector control, the new controller adopts the single-loop control structure, in which the speed and quadrate axes current controllers are combined together. First, a multiple-surface sliding mode controller is designed for the speed control system of permanent magnet synchronous motor. Although the sliding mode controller has the strong robustness for the matched disturbance in the system, it still cannot deal with mismatched disturbance effectively, such as external load disturbance and some parameter variations. Thus, the disturbance observer is introduced to estimate the disturbance in the motor, which is designed by combining the proposed sliding mode controller. Finally, the effectiveness is tested under various conditions by both simulation and experiment. The results show that the designed controller has the fast transient response and robustness under different operating conditions.

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.

scholarly journals SENSORLESS SPEED CONTROL OF THE DIRECT CURRENT MOTORS

2021 ◽  
Vol 2021 (58) ◽  
pp. 23-29
Author(s):  
S. Peresada ◽  
◽  
Y. Nikonenko ◽  
V. Pyzhov ◽  
D. Rodkin ◽  
...  
Keyword(s):  
Control Algorithm ◽  
Dynamic Performance ◽  
Speed Control ◽  
Angular Speed ◽  
Observer Design ◽  
Loop Current ◽  
Speed Sensor ◽  
Speed Regulation ◽  
Speed Measurement ◽  
Measurement Design

In this paper, a new speed control algorithm for a permanent magnet DC motor which does not require implementation of the angular speed sensor is presented. Three steps are performed to develop the control system: design of speed tracking control algorithm assuming the speed measurement; design of speed observer; design of sensorless speed control algorithm based on the principle of separation. Information about speed is taken from the speed observer using the motor current value. The stability of the composite system dynamics consisting of three subsystems (the speed regulation loop, current regulation loop, and speed observer) is analyzed. The feedback gains tuning procedure for decoupling of three subsystems is given. The simulation results show that the dynamic performance of the designed system is similar to the performance of the system with angular speed measurement. The resulting closed-loop system has structural robustness properties with respect to parametric and coordinate disturbances. References 12, figures 2.

scholarly journals Rotor Suspension and Stabilization of Bearingless SRM using Sliding Mode Controller

2018 ◽  
Vol 7 (1.8) ◽  
pp. 214
Author(s):  
Polamraju. V.S.Sobhan ◽  
G V. Nagesh Kumar ◽  
P V. Ramana Rao
Keyword(s):  
High Speed ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Sliding Mode Controller ◽  
Displacement Control ◽  
Switched Reluctance ◽  
Speed Regulation ◽  
High Torque ◽  
High And Low Temperatures ◽  
Control Methodology

Motors working in extreme conditions such as ultra high and low temperatures, high contamination, high purity etc. require high maintenance of mechanical bearings and the regular lubrication. Hence there is a need of a motor without mechanical bearings and lubrication in addition to simple in control and less maintenance. There by, bearingless motors (BLMs) gain more attention. The bearingless switched reluctance motor’s (BLSRM)  is simple in construction and economical in addition to high speed capacity and high torque to inertia ratio. The magnetic nonlinearity arising due to double salient structure makes rotor eccentric displacement control and speed regulation complicate and needs robust control methodology such as sliding mode control (SMC) which has integrity, high certainty and rapid dynamic response when compared to typical controllers. Sliding mode can be realized with distinct classical reaching laws. This paper presents design and implementation of a SMC for a 12/14 BLSRM and the dynamic performance is endorsed by simulation using Matlab software.

Sensorless direct torque control based on nonlinear integral sliding mode controllers for an induction motor drive: Experimental verification

2020 ◽  
pp. 095965182093373
Author(s):  
Saber Krim ◽  
Youssef Krim ◽  
Mohamed Faouzi Mimouni
Keyword(s):  
Adaptive System ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Torque Control ◽  
Adaptation Mechanism ◽  
Model Reference ◽  
Speed Controller ◽  
Model Reference Adaptive System ◽  
Speed Estimator ◽  
Model Reference Adaptive

In this article, a novel sliding mode adaptation mechanism of a model reference adaptive system speed estimator and a modified sliding mode speed controller are proposed to replace the proportional-integral controller used in the adaptation mechanism of the model reference adaptive system and the proportional-integral speed controller, respectively. The suggested control strategy is designed by sensorless direct torque control with space vector modulation based on a sliding mode speed controller and a model reference adaptive system sliding mode speed estimator. The contribution of this work is the development of one control law based on a modified nonlinear component to overcome the first-order sliding mode control limitations, such as the chattering phenomenon. The performance of the suggested controller-based direct torque control with space vector modulation is verified by digital simulation with different operation conditions, like the abrupt variations in the load torque and the reference speed, using the MATLAB/SIMULINK environment. In fact, such simulation results are experimentally checked utilizing a dSPACE-1104.

Sensorless Parameter Identification Method for PMSM Based on Double Manifold Sliding Mode

2010 ◽  
Vol 171-172 ◽  
pp. 632-635
Author(s):  
Ze Cheng ◽  
Fa Bin Yan ◽  
Yan Li Liu ◽  
Ya Fei Ji
Keyword(s):  
Parameter Identification ◽  
Reference Model ◽  
Sliding Mode ◽  
Current Model ◽  
Dynamic Performance ◽  
Adaptive Model ◽  
Output Current ◽  
Identification Method ◽  
Real Model ◽  
The Stability

An adaptive model reference parameter identification method without sensors for PMSM is presented in this paper and this method is based on double manifold sliding mode. The real model of PMSM is selected as the reference model and the d/q frame observer which is constructed using current model of the motor is selected as the adjustable model. The manifold sliding mode surface is constructed using the output (current in d/q frame) errors of the two models. Proper parameters are selected to guarantee the stability of the observer. The adjustable model converges to the reference model and the running state of motor can be identified. Theoretical analysis and simulation results show that the proposed strategy has high static and dynamic performance，high tracking precision as well as stronger robustness.

Performance analysis of the sensorless adaptive sliding-mode neuro-fuzzy control of the induction motor drive with MRAS-type speed estimator

2012 ◽  
Vol 60 (1) ◽  
pp. 61-70 ◽  
Author(s):  
T. Orlowska-Kowalska ◽  
M. Dybkowski
Keyword(s):  
Induction Motor ◽  
Sliding Mode ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Adaptive Sliding Mode ◽  
Speed Controller ◽  
Neuro Fuzzy ◽  
On Line ◽  
Speed Estimator ◽  
Model Reference Adaptive

Performance analysis of the sensorless adaptive sliding-mode neuro-fuzzy control of the induction motor drive with MRAS-type speed estimator This paper discusses a model reference adaptive sliding-mode control of the sensorless vector controlled induction motor drive in a wide speed range. The adaptive speed controller uses on-line trained fuzzy neural network, which enables very fast tracking of the changing speed reference signal. This adaptive sliding-mode neuro-fuzzy controller (ASNFC) is used as a speed controller in the direct rotor-field oriented control (DRFOC) of the induction motor (IM) drive structure. Connective weights of the controller are trained on-line according to the error between the actual speed of the drive and the reference model output signal. The rotor flux and speed of the vector controlled induction motor are estimated using the model reference adaptive system (MRAS) - type estimator. Presented simulation results are verified by experimental tests performed on the laboratory-rig with DSP controller.

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