Design and Fabrication of Delta Robot with Voice control

The objective of the project is to design and control the Delta robot with voice for pick and place operation using ARM7 processor. Till now there is no implementation of voice recognition and control in Delta robot. The maximum payload of the robot is 200grams-300grams. The robot has been made based on the SEQUENTIAL QUADRATIC PROGRAMMING. Various links of the robot are controlled using the servo motor and the gripper is separately controlled by a servo motor.

Model-Based Design on the Application of Active Flow Control System

Active flow control has produced a great many values in the S-shaped inlets. In this study, the pressure gradient is used to characterize the degree of flow reattachment on the S-shaped inlet and be referred as the pressure recovery parameter[1]. A transfer function is established between an input of frequency of the solenoid valve and an output of the pressure gradient. According to the process of model-based design, one of Simulink model created by Different Control Algorithms which are applied to the established system in the simulation is selected to generate C codes automatically. The generated codes are embedded in the ARM7 processor and the test result of the processor is consistent with simulation.

A Novel Method for Solution of the Division Operation on ARM7 Microcontroller

Before architecture V7, the hardware of ARM microcontroller family does not support division operation. Although it is easy to program on ARM processors with C language which can implement division operation with library functions, the procedure has much trouble and the efficiency is lower when the function code written in C language is called in assembly program. This paper introduces an algorithm for the division operation on ARM7 processor and also gives corresponding subroutines which can be used directly in assembly program design. The algorithm is similar to the operation theory of the digital circuit which uses subtraction circuit to do division operation. The given subroutines can deal with the division operation between two 32-bit unsigned integers and the division between a 64-bit unsigned integer and a 32-bit unsigned integer.

Embedded System for Detection, Recognition and Classification of Traffic Signs

This study concerns the development of an embedded system with low computational resources and low power consumption. It uses the NXP LPC2106 with ARM7 processor architecture, for acquiring, processing and classifying images. This embedded system is design to detect and recognize traffic signs. Taking into account the processor capabilities and the desired features for the embedded system, a set of algorithms was developed that require low computational resources and memory. These features were accomplished using a modified Freeman Method in conjunction with a new algorithm "ear pull" proposed in this work. Each of these algorithms was tested with static images, using code developed for MATLAB and for the CMUcam3. The road environment was simulated and experimental tests were performed to measure traffic signs recognition rate on real environment. The technical limitations imposed by the embedded system led to an increased complexity of the project, however the final results provide a recognition rate of 77% on road tests. Thus, the embedded system features overcome the initial expectations and highlight the potentialities of both algorithms that were developed.

Embedded Data Acquisition System Based on LPC2290 and AD7715

This paper uses ARM7 processor LPC2290, embedded data acquisition chip AD7715 and real-time operating system μC/OS-II as a basis to design an ARM-based embedded data acquisition system. This system achieves RS-232/RS-485 communication, Ethernet communication, keyboard and LCD display embedded control applications. It has a small size hardware, low power consumption, plenty functions and highly extended features. The reliability of embedded real-time operating system μC/OS-II has been certified. It makes the system more stable, and makes maintenance and upgrade program more convenient.

The Design and Implement of SSD Chip with Multi-Bus and 8 Channels

As networks and the development of information technology, the traditional machinery hard in some areas has been unable to satisfy the speed and performance requirements, and appeared SSD（solid state disk）. This article describes the design of a high-performance SSD control chip,the SSD control chip intergrate internal ARM7 processor, by AHB bus to rapid implement the dma data transmission, the interface with nandflash adopted eight, which can achieve on the parallel operation and improve nandflash interface speed. With the host interface uses sata2.Firmware use of the FTL algorithms, including and of the operation of the mapping. A balanced mix of wear and tear, a bad piece of management and garbage collection, and more efficient to access to SSD, improved ssd life. That the SSD chip for reading speed 200MB/S, the maximum writing speed is 140MB/s.