Monitoring and controlling the speed and direction of a DC motor through FPGA and comparison of FPGA for speed and performance optimization

We are living in the 21st century, an era of acquiring necessity in one click. As we, all know that technology is continuously reviving to stay ahead of advancements taking place in this world of making things easier for mankind. Technology has been putting his part in introducing different projects as we have used the field programmable gate arrays (FPGAs) development board of low cost and programmable logic done by the new evolvable cyclone software is optimized for specific energy based on Altera Cyclone II (EP2C5T144) through which we can control the speed of any electronic device or any Motor Control IP product targeted for the fan and pump. Altera Cyclone FPGAs’ is a board through which we can monitor the speed and direction of the DC motor. As we know how to make understand, dynamic analog input using an A-to-D convertor and we know how to create pulse width modulation (PWM) output with FPGA. Therefore, by combining these two functions we can create an FPGA DC motor controller. Our paper is divided into three parts: First, all of us will attempt to imitate the issue and can try to look for its answer. Secondly, we will try to verify the solution for real-time. In addition, in the last step, we will verify the solution on the real-time measurements

High Frequency Injection Sensorless Control for a Permanent Magnet Synchronous Machine Driven by an FPGA Controlled SiC Inverter

As motor drive inverters continue to employ Silicon Carbide (SiC) and Gallium Nitride (GaN) devices for power density improvements, sensorless motor control strategies can be developed with field-programmable gate arrays (FPGA) to take advantage of high inverter switching frequencies. Through the FPGA’s parallel processing capabilities, a high control bandwidth sensorless control algorithm can be employed. Sensorless motor control offers cost reductions through the elimination of mechanical position sensors or more reliable electric drive systems by providing additional position and speed information of the electric motor. Back electromotive force (EMF) estimation or model-based methods used for motor control provide precise sensorless control at high speeds; however, they are unreliable at low speeds. High frequency injection (HFI) sensorless control demonstrates an improvement at low speeds through magnetic saliency tracking. In this work, a sinusoidal and square-wave high frequency injection sensorless control method is utilized to examine the impact an interior permanent magnet synchronous machine’s (IPMSM) fundamental frequency, injection frequency, and switching frequency have on the audible noise spectrum and electrical angle estimation. The audible noise and electrical angle estimation are evaluated at different injection voltages, injection frequencies, switching frequencies, and rotor speeds. Furthermore, a proposed strategy for selecting the proper injection frequency, injection voltage, and switching frequency is given to minimize the electrical angle estimation error

Motor control in aerospace, optimizing availability and acoustics

The objective of this research project was to investigate motor control methods applied to Permanent Magnet Synchronous Motors (PMSMs) for aerospace applications. In specific this research attempted to address two key issues that are critical in aerospace. Firstly the increase in system availability in case of a resolver failure by means of applying sensorless motor control methods. Secondly the reduction of acoustic noise generated from a motor drive. Reliability, availability and acoustics are key areas in a number of industries especially aerospace. With regards to the reliability and availability objective, a hybrid model/saliency based sensorless method was investigated that can take over motor control in case of a resolver failure. With regards to the objective on acoustics, the research attempted firstly to address the problem of acoustic noise from High Frequency Injection (HFI). A variant of the Pseudo Random High Frequency Injection (PRHFI) algorithm was thus developed aiming to reduce the perception of acoustic noise. While investigating HFI sensorless methods and observing their acoustic effects, the most novel contribution of this research was conceived. The concept of Active Noise Cancellation/Control (ANC) by means of High Frequency Injection (HFI) was thus created, implemented and presented in this thesis. The proposed availability and acoustic improvement algorithms were first simulated in Matlab/Modelsim and then tested on the Helicopter Electro-Mechanical Actuation System (HEMAS). The above hardware platform is a PMSM based drive used to control the swash-plate onboard a helicopter. The reliability enhancement sensorless observer was demonstrated successfully during testing and was shown to track the motor’s speed and angle. The acoustic suppression algorithms (Pseudo Random High Frequency Injection and High Frequency Injection Active Noise Cancellation) were also demonstrated successfully on the hardware platform by means of audio capturing using microphones and analysis within Matlab

Motor control in aerospace, optimizing availability and acoustics

The objective of this research project was to investigate motor control methods applied to Permanent Magnet Synchronous Motors (PMSMs) for aerospace applications. In specific this research attempted to address two key issues that are critical in aerospace. Firstly the increase in system availability in case of a resolver failure by means of applying sensorless motor control methods. Secondly the reduction of acoustic noise generated from a motor drive. Reliability, availability and acoustics are key areas in a number of industries especially aerospace. With regards to the reliability and availability objective, a hybrid model/saliency based sensorless method was investigated that can take over motor control in case of a resolver failure. With regards to the objective on acoustics, the research attempted firstly to address the problem of acoustic noise from High Frequency Injection (HFI). A variant of the Pseudo Random High Frequency Injection (PRHFI) algorithm was thus developed aiming to reduce the perception of acoustic noise. While investigating HFI sensorless methods and observing their acoustic effects, the most novel contribution of this research was conceived. The concept of Active Noise Cancellation/Control (ANC) by means of High Frequency Injection (HFI) was thus created, implemented and presented in this thesis. The proposed availability and acoustic improvement algorithms were first simulated in Matlab/Modelsim and then tested on the Helicopter Electro-Mechanical Actuation System (HEMAS). The above hardware platform is a PMSM based drive used to control the swash-plate onboard a helicopter. The reliability enhancement sensorless observer was demonstrated successfully during testing and was shown to track the motor’s speed and angle. The acoustic suppression algorithms (Pseudo Random High Frequency Injection and High Frequency Injection Active Noise Cancellation) were also demonstrated successfully on the hardware platform by means of audio capturing using microphones and analysis within Matlab