SENSORLESS SPEED CONTROL OF THE DIRECT CURRENT MOTORS

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.

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

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-190540 ◽

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.

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Speed Control of 3-phase Induction Motors under Fault Conditions Supplied by Wind Turbine Using Indirect Vector Control

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

10.11591/ijpeds.v8.i1.pp222-230 ◽

2017 ◽

Vol 8 (1) ◽

pp. 222

Author(s):

Mohammad Jannati ◽

Solieman Eskandari ◽

Tole Sutikno

Keyword(s):

Wind Turbine ◽

Vector Control ◽

Pulse Width Modulation ◽

Induction Motors ◽

Dynamic Performance ◽

Speed Control ◽

Open Circuit ◽

Performance Validity ◽

Speed Sensor ◽

Torque Pulsations

This article studies speed control of 3-phase Induction Motors (IMs) under fault conditions supplied by wind turbine using Indirect Vector Control (IVC). The wind turbine plays as a prime mover to a connected DC generator. Pulse Width Modulation (PWM) is used to obtain 3-phase AC voltage from the DC generator output. The proposed modified controller is able to control a star-connected 3-phase IM under normal, stator winding open-circuit fault and speed-sensor fault conditions. Simulation results are presented and shown the performance, validity and possibility of the proposed technique. The results demonstrate that, the proposed scheme provides good dynamic performance especially in reduction of IM speed and torque pulsations.

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Investigating On-Road Lane Maintenance and Speed Regulation in Post-Stroke Driving: A Pilot Case–Control Study

Geriatrics ◽

10.3390/geriatrics6010016 ◽

2021 ◽

Vol 6 (1) ◽

pp. 16

Author(s):

Heng Zhou ◽

Qian (Chayn) Sun ◽

Alison Blane ◽

Brett Hughes ◽

Torbjörn Falkmer ◽

...

Keyword(s):

Cognitive Abilities ◽

Speed Control ◽

Executive Dysfunction ◽

Case Control ◽

Older Drivers ◽

Control Performance ◽

Post Stroke ◽

Speed Regulation ◽

Stroke Population ◽

Lane Keeping

Stroke can adversely affect the coordination and judgement of drivers due to executive dysfunction, which is relatively common in the post-stroke population but often undetected. Quantitatively examining vehicle control performance in post-stroke driving becomes essential to inspect whether and where post-stroke older drivers are risky. To date, it is unclear as to which indicators, such as lane keeping or speed control, can differentiate the driving performance of post-stroke older drivers from that of normal (neurotypical) older drivers. By employing a case–control design using advanced vehicle movement tracking and analysis technology, this pilot study aimed to compare the variations in driving trajectory, lane keeping and speed control between the two groups of older drivers using spatial and statistical techniques. The results showed that the mean standard deviation of lane deviation (SDLD) in post-stroke participants was higher than that of normal participants in complex driving tasks (U-turn and left turn) but almost the same in simple driving tasks (straight line sections). No statistically significant differences were found in the speed control performance. The findings indicate that, although older drivers can still drive as they need to after a stroke, the decline in cognitive abilities still imposes a higher cognitive workload and more effort for post-stroke older drivers. Future studies can investigate post-stroke adults’ driving behaviour at more challenging driving scenarios or design driving intervention programs to improve their executive function in driving.

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Speed regulation control of tractors’ new dual-flow transmission system based on slip rate resistance classification

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering ◽

10.1177/09544070211010574 ◽

2021 ◽

pp. 095440702110105

Author(s):

Guang Xia ◽

Yan Xia ◽

Xiwen Tang ◽

Linfeng Zhao ◽

Baoqun Sun

Keyword(s):

Control Strategy ◽

Control Algorithm ◽

Production Efficiency ◽

Sliding Mode ◽

Slip Rate ◽

Speed Control ◽

Working Environment ◽

Vehicle Speed ◽

Speed Change ◽

Simulation Results

Fluctuations in operation resistance during the operating process lead to reduced efficiency in tractor production. To address this problem, the project team independently developed and designed a new type of hydraulic mechanical continuously variable transmission (HMCVT). Based on introducing the mechanical structure and transmission principle of the HMCVT system, the priority of slip rate control and vehicle speed control is determined by classifying the slip rate. In the process of vehicle speed control, the driving mode of HMCVT system suitable for the current resistance state is determined by classifying the operation resistance. The speed change rule under HMT and HST modes is formulated with the goal of the highest production efficiency, and the displacement ratio adjustment surfaces under HMT and HST modes are determined. A sliding mode control algorithm based on feedforward compensation is proposed to address the problem that the oil pressure fluctuation has influences on the adjustment accuracy of hydraulic pump displacement. The simulation results of Simulink show that this algorithm can not only accurately follow the expected signal changes, but has better tracking stability than traditional PID control algorithm. The HMCVT system and speed control strategy models were built, and simulation results show that the speed control strategy can restrict the slip rate of driving wheels within the allowable range when load or road conditions change. When the tractor speed is lower than the lower limit of the high-efficiency speed range, the speed change law formulated in this paper can improve the tractor speed faster than the traditional rule, and effectively ensure the production efficiency. The research results are of great significance for improving tractor’s adaptability to complex and changeable working environment and promoting agricultural production efficiency.

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Implementation and vehicle tests of a vehicle stop-and-go cruise control system

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering ◽

10.1243/095440702760178479 ◽

2002 ◽

Vol 216 (7) ◽

pp. 537-544 ◽

Cited By ~ 13

Author(s):

K Yi ◽

N Ryu ◽

H J Yoon ◽

K Huh ◽

D Cho ◽

...

Keyword(s):

Control System ◽

Control Algorithm ◽

Speed Control ◽

Step Motor ◽

Cruise Control ◽

Longitudinal Control ◽

Linear Quadratic Optimal Control ◽

Millimetre Wave ◽

Stop And Go ◽

Wave Radar

Implementation and vehicle tests of a vehicle longitudinal control algorithm for stop-and-go cruise control have been performed. The vehicle longitudinal control scheme consists of a set-speed control algorithm, a speed control algorithm, and a distance control algorithm. A desired acceleration for the vehicle for the control of vehicle-to-vehicle relative speed and clearance has been designed using linear quadratic optimal control theory. Performance of the control algorithm has been investigated via vehicle tests. Vehicle tests have been conducted using two test vehicles. A 2000 cm3 passenger car equipped with a radar distance sensor, throttle/brake actuators and a controller has been used as a subject vehicle in the vehicle tests. A millimetre wave radar sensor has been used for distance measurement. A step motor and an electronic vacuum booster have been used for throttle/brake actuators. It has been shown that the implemented vehicle longitudinal control system can provide satisfactory performance in vehicle set-speed control and vehicle clearance control at lower speeds.

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