Chia-Chang Tong

Firmware implementation of an adaptive solar cell maximum power point tracking based on PSoC

An adaptive perturbation and observation (P&O) method for the maximum power point tracking of photovoltaic system is proposed with programmable system-on-chip firmware implementation in this paper. This proposed method holds the following merits: the control algorithm is simple and easy to implement, the power oscillation at the maximum power point and the tracking speed are improved, moreover the adaptive perturbation and observation method can track the new maximum power point rapidly when the ed to complete the boost converter circuit. Therefore, this proposed hardware structure might be the most concise circuit ever. The proposed circuit is tested and compared with the conventional P&O method. The performance of propose adaptive perturbation and observation method is 0.4 second faster and 4.9% output power higher than that of traditional P&O method.

Design an Intelligent Neural-Fuzzy Controller for Hybrid Motorcycle

The main propose of this article is to design an intelligent neural-fuzzy controller for hybrid motorcycle. A self-tuning PID tracking controller based on RBF neural network with Fuzzy current limiter is proposed to maneuver the motor and save some energy in hybrid mode. The outer motor control loop is designed to track down the speed fluctuations by Neural-PID controller. Besides, one inner loop is designed to limit the armature current whenever the power demand is diminished according to a set of Fuzzy rules. The proposed structure is put into tests by Matlab programming. Simulations confirm this RBF-PID controller with Fuzzy current limiter can save 23.5% energy for a tracking task.

Hybrid electric motorcycle: a master-slave mode design

This paper proposes a design and implementation of a master-slave mode, hybrid electric motorcycle (H.E.M.). The proposed hybrid electric motorcycle is a revised vehicle from a 50 C.C. motorcycle and designed to match up with a 100 C.C. motorcycle. In order to expedite the developing phase and lower down the cost, a master-slave tracking control method is utilized. A DC servo-motor is deployed to track the speed of the rear-wheel of the motorcycle and to provide more torque through power composite into the rear wheel so that the performance of hybrid electric motorcycle can be promoted. The advance of performance as well as the energy saving can both be expected. In road trip experiment, the H.E.M. prototype achieves an average gasoline mileage of 46 km/liter compared to the original 34 km/liter. The overall efficiency is about 35% lift. Experimental results confirm the feasibility and prosperities of the proposed hybrid electric motorcycle (H.E.M.).

PSoC implementing vehicle auxiliary vacuum brake system with Kalman filter

A compact, reliable, and robust auxiliary vacuum brake system has been implemented by utilizing a programmable system-on-chip (PSoC). All the circuit elements in this control system are integrated into one chip without any external electronic components. Circuit as well as system is compact in size and concise in design. Also, Kalman filter algorithm is employed and implemented within PSoC chip by software to surpass the noises and disturbances from hostile surrounding in the vehicle. A prototype has been built and tested. Test results have confirmed that the performance of Kalman filter is better than that of low-pass filter. Furthermore, Kalman filter is capable of dealing with noises and disturbances from vacuum pump and other sources while low-pass filter is not.

Firmware implementing of a dual-wheel drive electrical bicycle

The goal of this project is to design and build a dual-axis drive system for an electric bicycle. The computerized control for the electric bicycle utilizes a firmware-based system, with the vehicles electronic control unit (ECU)and most of the signal processing circuits implemented using a Programmable SoC (PSoC). This special dual-axis driven electric bicycle has many advantages over electric bicycles currently available on the market. To be able to have both wheels drive the vehicle simultaneously, the speed controller must be designed with a very high degree of accuracy so that it has the ability to compensate for speed difference that might exist between the front and rear wheels. In addition, both wheels have breaks and kinetic energy recovery for decelerating or downhill riding. The vehicle has automatic cruse capabilities and can automatically switch to single front or rear wheel drive at medium or high speeds. This saves power and avoids any single motor driver overheating because of long term driving.

An adaptive maximum power point tracking controller design for serial-connected photovoltaic modules

This paper focuses on design and implementing an adaptive perturbation and observation algorithm for photovoltaic modules connected in series. A novel approach is used to avoid those local maxima points by starting the initial voltage perturbation from the right side of the P-V characteristic curve. By doing this, the design can achieve a fast response to the global maximum point within just steps. In order to accomplish this idea, an adaptive perturbation and observation algorithm is designed with a programmable system-on-chip, PSoC chip, to work along with the SEPIC converter circuit. A test platform was built with three photovoltaic modules connected in series to conduct varied settings, such as partial shading conditions, different illumination conditions and some of the PV module blocked. Experiments confirm that this design can track the maximum power point precisely and quickly.

Apply grey entropy to analyze the weighting of influence factor in sexual harassment on campus in Taiwan

The paper aims to quantify the phenomenon of sexual harassment on campus, which based on the gender statistics from Taiwans government, and use grey entropy model as the mathematics model to analyze the problem of sexual harassment on campus victims from year 2004 to year 2012. The paper proposes the five influence factors for the sexual harassment on campus at first. Through grey entropy calculation, the result shows that the main factors influence sexual harassment on campus for male victims are special education school students; while for female victims are primary school students.

Design A RBF neural network auto-tuning controller for magnetic levitation system with Kalman filter

In this paper, a new controller structure called the radius basis function (RBF) neural network auto-tuning PID controller with Kalman filter is presented to manipulate a linearized magnetic levitation system. The proposed RBF neural network auto-tuning PID controller with Kalman filter makes use of Kalman filter to deal with the uncertainties and noises induced by the process of linearization of magnetic levitation system as well as the noise problems induced by the position feedback sensor device. To validate the proposed new design structure, the MATLAB simulations under different types of noise problems are presented. Furthermore, results confirm that the output transient response and steady-state error of magnetic levitation system by the proposed controller with Kalman filter can be improved and assured while the results of auto-tuning PID controller are inclined to be unstable.

The firmware design of analogue and digital filters

The firmware design is a tough task for university students because firmware combines hardware design and software programming. In this paper, a mixed-signal array IC chip called Programmable System-on-Chip (PSoC®) from Cypress Semiconductor is employed as a firmware platform for signal processing as well as digital signal processing practice. PSoC is a single chip with mixed-signal array as well as on-chip MCU. It provides a solution for integration of analogue and digital hardware as well as software programming. In this paper, practices of analogue filter design and digital signal processing by PSoC filter design for university senior students and graduate school students are introduced. This signal processing course modules can be divided in two parts: (A) Designing analogue filter with configurable analogue blocks in PSoC as the design practice for signal processing. (B) Implementing digital filter in PSoC with MATLAB FDATool toolbox as the firmware design practice for digital signal processing. Through the designed sections, students can study the process of designing analogue and digital filter in PSoC chip with the help of MATLAB toolbox. Students can actually experience the power of firmware and understand how to accomplish filter design projects.