Sensorless speed control of DC servo motor using Kalman filter

Praesomboon, Sukanya; Athaphaisal, Santi; Yimman, Surapun; Boontawan, Rodjarin; Dejhan, Kobchai

doi:10.1109/icics.2009.5397682

Cited by 18 publications

(12 citation statements)

References 4 publications

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“…Various models have been proposed to convert the motor current [9] or voltage into a speed estimate and hence be usable in a motor speed control system. Interesting methods have included fuzzy algorithms [10,11], wavelets [12], genetic algorithms [13,14] and Kalman filters [15][16][17]. Saurav and Potluri [5] showed that for better accuracy the model should include mechanical factors, such as friction and any mechanical or electrical non-linearities.…”

Section: Research Articlementioning

confidence: 99%

Sensorless speed measurement for brushed DC motors

Radcliffe

Kumar

2015

IET Power Electronics

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This study describes two new methods of sensing the speed of a pulse-width modulation-driven brushed DC motor based on measuring the inductive spikes generated when the motor is turned off. The research has studied the relationship between the rise time or duration of the inductive spike, and the motor current and speed. Computationally inexpensive algorithms have been developed that use either rise time or duration to estimate speed. The algorithms have been implemented on an inexpensive microprocessor and show a speed error of approximately 10% over most of the motor's range of operation. The spike rise time implementation requires an analog-to-digital converter (ADC) as found in many microprocessors, while the spike duration implementation requires only a single digital input thus reducing the cost of the controlling microprocessor. This work has shown that sensorless speed measurement can be based on the inductive spike and has also raised future research questions, such as to the best way to optimise the speed measurement in dynamic situations, and measurement errors to be expected in a mass production environment.

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Section: Research Articlementioning

confidence: 99%

Sensorless speed measurement for brushed DC motors

Radcliffe

Kumar

2015

IET Power Electronics

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“…IV. KALMAN FILTER Kalman filter has been widely used in various applications such as robotics, navigation, and vehicle control systems [10]. Kalman filter itself is one type of estimator that is reliable in handling noise [11].…”

Section: Introductionmentioning

confidence: 99%

Kalman Filter to Improve Performance of PID Control Systems on DC Motors

Yuliawan

Wahyunggoro

Setiawan

2021

IJITEE

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A proportional–integral–derivative (PID) controller is a type of control system that is most widely applied in industrial world. Various tuning models have been developed to obtain optimal performance in PID control. However, the methods are designed under ideal circumstances. This means that the control system which has been built will not work optimally when noise exists. Noise can come from electrical vibrations, inference of electronic components, or other noise sources. Thus, it is necessary to design PID control system that can work optimally without being disturbed by noise. In this research, Kalman filter was used to improve the performance of PID controllers. The application of Kalman filter was used to reduce the noise of the input signal so that it could generate output signal which is in accordance with the expected output. Simulation result showed that the PID performance with Kalman filter was more optimal than the ordinary one to minimize the existing noise. The resulting speed of DC motor with Kalman filter had a lower overshoot than PID control without Kalman filter. This method resulted lower integral of absolute error (IAE) than ordinary PID controls. The IAE value for the PID controller with the Kalman filter was 25.4, the PID controller with the observer was 31.0, while the IAE value in the ordinary controller was only 60.9.

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“…But the speed controllability and cheapness of are affected by parameter variations and disturbance torque [5]. The many investigators are developed the techniques based on MATLAB/SIMULINK [6], Kalman filter [7] and microcontrollers [8,9] but all these an embedded systems developed about microcontrollers and necessary hardware realize the System on Board (SoB) design. The SoB systems have high power consumption, less flexibility in hardware as well as software design, less static as well as dynamic reconfigurability, more hardware complexity, etc.…”

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confidence: 99%

Analog Mixed Signal based Linear Control of Electric Motor Deploying CapSence Technology

Tilekar¹,

Chavan²,

Patil³

et al. 2017

IJARCSSE

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Abstract-Confluence of Analog Mixed Signal (AMS) based embedded technology, innovative VLSI technology, withCapSence technology results into a system with commendable features. The industrial processes are discretely controlled by employing switches. However, to ensure linear and continuous controlling, the deployment of CapSence is recommended, wherein capacitive sensing principle is considered. Moreover, mixed signal based Programmable System on Chip (PSoC) from Cypress semiconductors plays vital role in AMS VLSI design. The CapSence has precise and ultra-soft interface, replacing mechanical contact, plays a significant role in variety of industrial gadgets. An embedded system is designed and implemented by utilizing AMS based PSoC5 device, CY8C55, from Cypress semiconductor, for linear controlling of electric motor, wherein complete embedded system is designed by configuring on-chip resources of the PSoC5 device. The device includes the soft core for interfacing of the touch sensitive pad. The capacitive sensing signal is very efficiently extracted by on-chip CapSence sigma delta modulator. The necessary on-chip hardware and software are dynamically co-developed to satisfy the needs of present design using PSoC Creator 2.1, an Integrated Development Environment. The ARM cortex M3 CPU is operating at back end. To drive electrical motor a MOSFET is deployed. On implementation, it is found that the motor speed can be precisely and linearly controlled.Keyword: Analog Mixed Signal, CY8C55, CapSence, Electric Motor. I. INTRODUCTIONIndeed, the Analog Mixed Signal (AMS) absed Programmable System-on-Chip (PSoC) design, an innovative VLSI technology, exhibits commendable characteristics of dynamic reconfigurability, which realizes precision embedded system of desired applications [1]. Furthermore, CapSense technology, an emerging capacitive touch sensing, from a decade along with Human Machine Interface (HMI) systems makes revolutionary changes in electronics gadgets. Confluence of these two emerging innovative technologies, AMS PSoC and CapSense, replaces the various HMI applications in industries, bio-instrumentation [2], infotainment [3], domestic appliances, etc.The every industry and household has used DC motor in their equipment. To improve the performance, maximum throughput, minimum power consumption, etc. need the precise as well as linear controlling of DC motors. Traditionally, adjustable speed controller and wide range of options have evolved for linear controlling of DC motors, such as rheostatic control method, flux control method, voltage control method, etc. are available. But the speed controllability and cheapness of are affected by parameter variations and disturbance torque [5]. The many investigators are developed the techniques based on MATLAB/SIMULINK [6], Kalman filter [7] and microcontrollers [8,9] but all these an embedded systems developed about microcontrollers and necessary hardware realize the System on Board (SoB) design. The SoB systems have high power consumption, less flexibility in ha...

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Sensorless speed control of DC servo motor using Kalman filter

Cited by 18 publications

References 4 publications

Sensorless speed measurement for brushed DC motors

Sensorless speed measurement for brushed DC motors

Kalman Filter to Improve Performance of PID Control Systems on DC Motors

Analog Mixed Signal based Linear Control of Electric Motor Deploying CapSence Technology

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