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In common industrial applications, machine control used its own man-machine interface to achieve the monitoring and control functions. A graphical and intuitive interface can help an unelectrical background people to control machine system easily. This paper used MSP432 microcontroller and microsoft C# language to design a user interface for active magnetic bearing system, and to communicate by Bluetooth...
The proposed of this paper is a non-invasive optical heart rate monitor base on one chip integration microcontroller solution for Photoplethysmogram (PPG) heart rate monitor. Traditional PPG sensor used complex circuits to detect body PPG signal that improved detection environment noise and enlarged weak body artery signal. We proposed an easy to detect PPG signal method which used Texas Instruments...
This paper presented a dynamic gray model DGM(1,1) prediction implement in fall detection signal analysis. The fall detection is a popular research topic in health care fields that detected older adult fall situation real time. Tradition gray model GM(1,1) prediction methods have some disadvantages to predict signal state. The DGM(1,1) used dynamic analysis construct prediction model that tracked...
This paper presented a packet neural network identify and analysis elders fall situation in wearable device. The older human signal analysis have been a research topic health care fields that algorithms build in wearable device real time detect fall situation. The neural network used neurons weight to identify human fall situation, and we also utilize packet neurons methods to adjust weight that grouped...
This paper presented an exponential smoothing gray model ESGM(1,1) analysis in fall detection signal analysis. The fall detection is a popular research topic in health care fields that combined wearable device real time detection older person situation. Gray model GM(1,1) prediction algorithms reinforced person fall signal which detected fall situation more quickly. In the experimental results, we...
This paper presented a recursive back propagation neural network (RBPNN) user gesture base on proximity capacitive sensor. The human interactive gesture signal analyses have been a research topic smart home fields that algorithms build in local device to recognize real time. The neural network have been used in many fields that including identification, control and classification. Neural network features...
This paper presented a Elman neural network identify elders fall signal base on second-order train method. The older human signal analysis have been a research topic health care fields that algorithms build in wearable device real time detect fall situation. However, the user dynamic sport signal nonlinear relationship between time and environmental uncertainty that are not easy to obtain user fall...
This paper presented the embedded operating system internet control for two control system which are synchronous reluctance motor (SynRM) and magnetic bearing system (MBS). Embedded system has human machine interface and scheduling multi-tasking to process interrupt. This paper used ARM9 core construct, in which we used operating system of WinCE system. The operating system sends command signal to...
This study presented a wireless cloud interaction control system for stepper motor. Cloud control interaction system is an important technology that is call internet of things. Internet of things is an easy control for our appliances which combined different interaction system. This paper proposed a low cost solution of wireless cloud interaction system with microcontroller. The cloud control system...
This paper presented a gray prediction GM(1,1) implement in fall detection signal analysis. The fall detection is a popular research topic in health care fields that combined wearable device real time detection older person situation. Gray prediction GM(1,1) algorithms reinforced person fall signal which detected fall state more quickly. In the experimental results, we used wearable device with BLE...
The paper proposed optics non-invasive peripheral capillary oxygen saturation (SPO2) data which used ferroelectric RAM to calculate and record large SPO2 data. Traditional SPO2 device used external EEPROM to record large data, and a microcontroller calculated SPO2 and heart rate that increase PCB board area. We used high integration ferroelectric RAM MSP430FR series ultra-low power microcontroller...
The paper proposed ultra-low power MSP432 microcontroller calculation for magnetic bearing system, and we design a PID-neural controller to control magnetic bearing position. Traditional bearing have many disadvantage that included rotor friction, rotor shake and lubricating oil be used. The magnetic bearing rotor was used magnetic levitation technology to improve traditional issue. This paper implemented...
The proposed of this paper is fuzzy-GA controller in magnetic levitated platform base on ultra-low power MSP432. Development of magnetic levitated technology applied in many fields, but the primary difficulty at nonlinear magnetic force control. This paper proposed fuzzy-GA controller that searcher optimize fuzzy expert knowledge parameters, and we also implemented proposed controller in ARM cortex-M4F...
The proposed of this paper is single input single output (SISO) PID-fuzzy controller in Brushless DC (BLDC) motor, and we design a low cost MSP430G2553 microcontroller solution to implement industry production advantage. BLDC motor replaced traditional brush DC motor which improved commutation problem. This paper proposed SISO PID-fuzzy controllers which fuzzy adjust expert knowledge compensated PID...
This paper proposed clustering algorithms applied Gaussian basis function neural network compensator with fuzzy control for magnetic bearing system (MBS). The nonlinear MBS improved traditional bearing friction losses, and nonlinear system with fuzzy controller and neural network does not require precise MBS mathematical model. We used clustering algorithms which are fuzzy c-means and k-means adjusted...
The paper proposed dynamic direct heart rate algorithms in wearable device. Green light LED to direct heart rate is very popular in recent years which used analogy signal feedback to microcontroller calculation. However, the different person physical signals are independent that including body fat, physical color, blood concentrations and oxygen concentration to influence observer data. Moreover,...
This paper proposed recursive Wavelet Elman neural network (RWENN) speed control for synchronous reluctance motor (SynRM). Wavelet neural network (WNN) activation function is replaced by wavelet functions which WNN combines wavelet transform with time domain, analytical capabilities and scale neural network. This paper proposed RWENN that has satisfactory control nonlinear problem in SynRM. We used...
This paper proposed sliding mode controller with fuzzy neural network estimator using 8-bit microcontroller in motor fan system (MFS). MFS wind flow has nonlinear dynamic behavior. We use fuzzy and neural network theory to estimate the lumped uncertainty in MFS. The estimator of adaptive laws is obtained by using the Lyapunov function. The low cost 8-bit microcontroller and Microsoft visual basic...
The proposed of this paper is self-tuning single input fuzzy controller (SSIFC) speed control for synchronous reluctance motor (SynRM). Traditional fuzzy controller used system error and differential error in fuzzy inputs. The simple structure SSIFC reduced calculation complexity is proposed in this paper. SSIFC used speed error and online learning algorithms to training fuzzy output rules. We used...
The paper propose the fuzzy control with recurrent fuzzy basis function neural network (RFBFNN) height control of magnetic bearing system. The magnetic bearing is a very unstable nonlinear system. Fuzzy control need not accurate mathematical model to have good output response for nonlinear systems. However, the fuzzy control cannot guarantee the stability and convergence. Neural networks also need...
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