This white paper discusses how market trends, the need for increased productivity, and new legislation have
accelerated the use of safety systems in industrial machinery. This TÜV-qualified FPGA design methodology is
changing the paradigms of safety designs and will greatly reduce development effort, system complexity, and time to
market. This allows FPGA users to design their own customized safety controllers and provides a significant
competitive advantage over traditional microcontroller or ASIC-based designs.
Introduction
The basic motivation of deploying functional safety systems is to ensure safe operation as well as safe behavior in
cases of failure. Examples of functional safety systems include train brakes, proximity sensors for hazardous areas
around machines such as fast-moving robots, and distributed control systems in process automation equipment such
as those used in petrochemical plants.
The International Electrotechnical Commission’s standard, IEC 61508: “Functional safety of
electrical/electronic/programmable electronic safety-related systems,” is understood as the standard for designing
safety systems for electrical, electronic, and programmable electronic (E/E/PE) equipment. This standard was
developed in the mid-1980s and has been revised several times to cover the technical advances in various industries.
In addition, derivative standards have been developed for specific markets and applications that prescribe the
particular requirements on functional safety systems in these industry applications. Example applications include
process automation (IEC 61511), machine automation (IEC 62061), transportation (railway EN 50128), medical (IEC
62304), automotive (ISO 26262), power generation, distribution, and transportation.
圖Figure 1. Local Safety System
6小時學會labview,
labview Six Hour Course – Instructor Notes
This zip file contains material designed to give students a working knowledge of labview in a 6 hour timeframe. The contents are:
Instructor Notes.doc – this document.
labviewIntroduction-SixHour.ppt – a PowerPoint presentation containing screenshots and notes on the topics covered by the course.
Convert C to F (Ex1).vi – Exercise 1 solution VI.
Convert C to F (Ex2).vi – Exercise 2 solution subVI.
Thermometer-DAQ (Ex2).vi – Exercise 2 solution VI.
Temperature Monitor (Ex3).vi – Exercise 3 solution VI.
Thermometer (Ex4).vi – Exercise 4 solution subVI.
Convert C to F (Ex4).vi – Exercise 4 solution subVI.
Temperature Logger (Ex4).vi – Exercise 4 solution VI.
Multiplot Graph (Ex5).vi – Exercise 5 solution VI.
Square Root (Ex6).vi – Exercise 6 solution VI.
State Machine 1 (Ex7).vi – Exercise 7 solution VI.
The slides can be presented in two three hour labs, or six one hour lectures. Depending on the time and resources available in class, you can choose whether to assign the exercises as homework or to be done in class. If you decide to assign the exercises in class, it is best to assign them in order with the presentation. This way the students can create VI’s while the relevant information is still fresh. The notes associated with the exercise slide should be sufficient to guide the students to a solution. The solution files included are one possible solution, but by no means the only solution.
ARM核心是主控SOC中的重要部分，系統的日常應用都由ARM核心來完成，因此ARM核心的效能很大程度上跟用戶體驗有關。ARM公司一般用DMIPS/MHz來標稱ARM核心的性能。DMIPS是Dhrystone Million Instructions executed Per Second的縮寫，反映核心的整數計算能力。但Dhrystone算法代碼本身比較叫，可以完全放到Cache中執行，因此反映的只是核心能力，并不能反映緩存、內存I/O性能。
This white paper discusses how market trends, the need for increased productivity, and new legislation have
accelerated the use of safety systems in industrial machinery. This TÜV-qualified FPGA design methodology is
changing the paradigms of safety designs and will greatly reduce development effort, system complexity, and time to
market. This allows FPGA users to design their own customized safety controllers and provides a significant
competitive advantage over traditional microcontroller or ASIC-based designs.
Introduction
The basic motivation of deploying functional safety systems is to ensure safe operation as well as safe behavior in
cases of failure. Examples of functional safety systems include train brakes, proximity sensors for hazardous areas
around machines such as fast-moving robots, and distributed control systems in process automation equipment such
as those used in petrochemical plants.
The International Electrotechnical Commission’s standard, IEC 61508: “Functional safety of
electrical/electronic/programmable electronic safety-related systems,” is understood as the standard for designing
safety systems for electrical, electronic, and programmable electronic (E/E/PE) equipment. This standard was
developed in the mid-1980s and has been revised several times to cover the technical advances in various industries.
In addition, derivative standards have been developed for specific markets and applications that prescribe the
particular requirements on functional safety systems in these industry applications. Example applications include
process automation (IEC 61511), machine automation (IEC 62061), transportation (railway EN 50128), medical (IEC
62304), automotive (ISO 26262), power generation, distribution, and transportation.
圖Figure 1. Local Safety System
This project is created using the Keil ARM CA Compiler.
The Logic Analyzer built into the simulator may be used to monitor and display any variable or peripheral I/O register. It is already configured to show the PWM output signal on PORT3.0 and PORT3.1
This ARM Example may be debugged using only the uVision Simulator and your PC--no additional hardware or evaluation boards are required. The Simulator provides cycle-accurate simulation of all on-chip peripherals of the ADuC7000 device series.
You may create various input signals like digital pulses, sine waves, sawtooth waves, and square waves using signal functions which you write in C. Signal functions run in the background in the simulator within timing constraints you configure. In this example, several signal functions are defined in the included Startup_SIM.INI file.
The module LSQ is for unconstrained linear least-squares fitting. It is
based upon Applied Statistics algorithm AS 274 (see comments at the start
of the module). A planar-rotation algorithm is used to update the QR-
factorization. This makes it suitable for updating regressions as more
data become available. The module contains a test for singularities which
is simpler and quicker than calculating the singular-value decomposition.
An important feature of the algorithm is that it does not square the condition
number. The matrix X X is not formed. Hence it is suitable for ill-
conditioned problems, such as fitting polynomials.
By taking advantage of the MODULE facility, it has been possible to remove
many of the arguments to routines. Apart from the new function VARPRD,
and a back-substitution routine BKSUB2 which it calls, the routines behave
as in AS 274.
