Real-time programming applied to the FreeRTOS operating system

本教程深入探讨RTOS(实时操作系统)的基础知识与高级特性,包括任务调度、内存管理、同步机制等核心概念。通过实例讲解如何在Cortex-M平台上实现RTOS,并解决实际开发中常见的问题。
http://www.ac6-training.com/cours.php/cat_FSCA/ref_RT3/
First Day
RTOS Introduction
Cortex-M resources used by RTOS
  • Cortex-M Architecture Overview
    • Two stacks pointers
    • Different Running-modes and Privileged Levels
    • MPU Overview
    • Systick Timer Description
  • Exception / Interrupt Mechanism Overview
    • Interrut entry and return Overview
    • SVC / PendSV / Systick Interrupt Presentation
  • Developing with the IDE
Exercice :  Interrupt Management on Cortex-M4
Introduction to Real Time
  • Base real time concepts
  • The Real Time constraints
  • Multi-task and real time
Thread safe data structures
  • Need for specific data structures
  • Thread safe data structures
    • Linked lists
    • Circular lists
    • FIFOs
    • Stacks
  • Data structures integrity proofs
    • Assertions
    • Pre and post-conditions
Exercice :  Build a general purpose thread safe linked list
Second Day
Element of a real time system
  • Tasks and Task Descriptors
    • Content of the task descriptor
    • List of task descriptors
  • Context Switch
  • Task Scheduling and Preemption
    • Tick based or tickless scheduling
  • Scheduling systems and schedulability proof
    • Fixed priorities scheduling
    • RMA and EDF scheduling
  • Scheduling through FReeRTOS
    • Deterministic preemptive scheduling
    • Scheduling strategies
    • Cooperative scheduling
    • Hybrid scheduling
Exercice :  Analyse a Context Switch
Task Management
  • The Task life-cycle
    • Creating tasks
    • Deleting tasks
    • The Endless-loop pattern
  • Task Priorities
    • Assigning task priorities
    • Changing task priorities
  • The idle task
    • Idle task hooks
  • Timing
Exercice :  Managing tasks
Memory Management
  • Memory management algorithms
    • Buddy System
    • Best fit / First Fit
    • Pools Management
  • FreeRTOS-provided memory allocation schemes
    • Allocate-only scheme
    • Best-fit without coalescing
    • Thread-safe default malloc
  • Checking remaining free memory
  • Adding an application-specific memory allocator
  • Memory management errors
  • Stack monitoring
Exercice :  Write a simple, thread safe, buddy system memory manager
Exercice :  Write a generic, multi-level, memory manager
Exercice :  Enhance the memory manager for memory error detection
Exercice :  Detect stack overflow
Third Day
Synchronization Primitives
  • Introduction
    • Waiting and waking up tasks
    • Semaphores
    • Events
    • Mailboxes
  • Binary Semaphores through FreeRTOS
    • Give a Binary Semaphore
    • Take a binary Semaphore
  • Queue Management through FreeRTOS
    • Creation
    • Sending on a queue
    • Receiving from a queue
    • Data management
    • Sending compound types
    • Transfering large data
Exercice :  Synchronizing a task with another one through binary semaphores
Exercice :  Synchronizing a task with another one through queues
Resource Management
  • Mutual Exclusion
    • Spinlocks and interrupt masking
    • Mutex or Semaphore
    • Recursive or not recursive mutexes
    • Priority inversion problem
    • Priority inheritance (the automatic answer)
    • Priority ceiling (the design centric answer)
  • Mutual exclusion through FreeRTOS
    • Mutexes and binary semaphores
    • Deadlocks
    • Priority inversion
    • Priority inheritance
  • Critical sections
    • Critical sections
    • Suspending (locking) the scheduler
  • Gatekeeper tasks
Exercice :  Implement mutual exclusion between two tasks
Fourth Day
Parallelism Problems Solution
  • Parallel programming problems
    • Uncontrolled parallel access
    • Deadlocks
    • Livelocks
    • Starvation
Exercice :  The producer-consumer problem, illustrating (and avoiding) concurrent access problems
Exercice :  The philosophers dinner problem, illustrating (and avoiding) deadlock, livelock and starvation
Interrupt Management
  • Need for interrupts in a real time system
    • Software Interrupt
    • Time Interrupts
    • Device Interrupts
  • Level or Edge interrupts
  • Hardware and Software acknowledge
  • Interrupt vectoring
  • Interrupts and scheduling
  • Deferred interrupt processing through FreeRTOS
    • Tasks with interrupt synchronization
    • Using semaphores within an ISR
    • Counting semaphores
    • Using queues within an ISR
  • FreeRTOS interrupt processing
    • Writing ISRs in C
    • Interrupt safe functions
    • Interrupt nesting
Exercice :  Synchronize Interrupts with tasks
Software Timer
  • The Timer Daemon Task
  • Timer Configuration
  • One-shot / Auto-reload Timer
  • Software Timer API
Exercice :  Implement Soft Timers
Trouble Shooting
  • Checking for stack problems
  • Common pitfalls
FreeRTOS-MPU
  • The Cortex/M MPU
    • User and privileged modes
    • Access permissions
  • Defining MPU regions
    • Overlapping regions
    • Predefined regions
    • Programmer-defined regions
  • Needed linker configuration
  • Practical usage tips
Exercice :  Implement protected memory regions

基于数据驱动的 Koopman 算子的递归神经网络模型线性化,用于纳米定位系统的预测控制研究(Matlab代码实现)内容概要:本文围绕“基于数据驱动的Koopman算子的递归神经网络模型线性化”展开,旨在研究纳米定位系统的预测控制方法。通过结合数据驱动技术与Koopman算子理论,将非线性系统动态近似为高维线性系统,进而利用递归神经网络(RNN)建模并实现系统行为的精确预测。文中详细阐述了模型构建流程、线性化策略及在预测控制中的集成应用,并提供了完整的Matlab代码实现,便于科研人员复现实验、优化算法并拓展至其他精密控制系统。该方法有效提升了纳米级定位系统的控制精度与动态响应性能。; 适合人群:具备自动控制、机器学习或信号处理背景,熟悉Matlab编程,从事精密仪器控制、智能制造或先进控制算法研究的研究生、科研人员及工程技术人员。; 使用场景及目标:①实现非线性动态系统的数据驱动线性化建模;②提升纳米定位平台的轨迹跟踪与预测控制性能;③为高精度控制系统提供可复现的Koopman-RNN融合解决方案; 阅读建议:建议结合Matlab代码逐段理解算法实现细节,重点关注Koopman观测矩阵构造、RNN训练流程与模型预测控制器(MPC)的集成方式,鼓励在实际硬件平台上验证并调整参数以适应具体应用场景。
<think>好的,用户想了解软实时系统的设计及实现。首先,我需要明确软实时系统的基本概念,和硬实时系统区别开来。根据引用[1],硬实时系统如心脏起搏器,错过截止时间会导致严重后果,而软实时系统如实时音视频系统,即使错过截止时间也不会导致系统失败,但可能影响服务质量。接下来,需要分析软实时系统的核心设计原则,比如截止时间管理、资源调度算法等。引用[2]提到的FCFS调度算法可能不适用于实时系统,但可以对比其他调度策略如EDF或动态优先级调整。此外,软实时系统的实现可能需要结合实时操作系统(RTOS)或Linux等通用系统的实时扩展,比如PREEMPT_RT补丁。还要考虑性能优化,比如缓冲机制或动态资源分配。用户可能还想知道实际应用案例,比如流媒体或工业控制系统。最后,需要确保回答结构清晰,分点说明设计原则、实现技术和挑战,并结合引用中的例子。可能需要生成相关问题,引导用户进一步学习。</think>### 软实时系统的设计与实现 #### 1. 核心概念与设计原则 软实时系统(Soft Real-Time System)要求在**可接受的延迟范围内**完成关键任务,但偶尔错过截止时间不会导致系统完全失效[^1]。其设计需关注以下原则: - **动态优先级调度**:采用如$Earliest\ Deadline\ First$(EDF)算法,根据任务截止时间动态调整优先级 - **资源弹性分配**:通过$$QoS = \frac{Successful\ Deadlines}{Total\ Deadlines}$$量化服务质量 - **容错机制**:允许通过降级服务(如视频降低分辨率)维持系统运行 #### 2. 实现关键技术 在Linux等通用操作系统中实现软实时特性常采用: ```c // 实时线程创建示例 pthread_attr_setschedpolicy(&attr, SCHED_RR); struct sched_param param = { .sched_priority = 50 }; pthread_setschedparam(thread, SCHED_FIFO, &param); ``` - **内核抢占改进**:如CONFIG_PREEMPT动态抢占配置 - **中断线程化**:将硬件中断转化为可调度的内核线程 - **时间粒度优化**:通过$$T_{min} = \frac{1}{f_{clock}} \times N_{cycles}$$提升时钟精度 #### 3. 典型应用场景 1. **多媒体流处理**:视频会议系统允许短暂卡顿(<200ms) 2. **工业过程控制**:温度调节系统的采样周期容差 3. **自动驾驶感知层**:结合引用[3]中的光流场分析,实现运动预测 #### 4. 性能优化挑战 - **资源冲突**:CPU/IO资源竞争导致的优先级反转 - **时间可预测性**:垃圾回收等非实时任务的影响 - **异构计算**:GPU加速与实时性的平衡
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