基于TMS320LF2407DSP的柴油主机转速智能PID控制系统

【作者】 张立昌；

【导师】 崔庆渝；

【作者基本信息】 上海海事大学 ， 检测技术与自动化装置， 2004， 硕士

【摘要】 过程控制系统广泛采用PID控制器。PID调节器的特点是结构简单，适应性强，而且其应用时期较长，控制工程师们已经积累了大量的PID控制器参数的调节经验。但是由于船舶动力系统是一个船、机、浆配合工作的复杂系统，转速调节回路具有非线性、时变性，传统的PID调节较难达到最佳控制效果。 本文详细研究了智能PID控制方法。在详细的介绍单神经元智能PID控制器及其基本的参数自整定方法的基础上，利用TMS320LF2407 DSP实现了常规PID控制算法、采用有监督Hebb学习算法的单神经元自适应PID控制算法和采用以Pe~2(k+d)+QΔu~2(k)为性能指标的单神经元自适应PID控制算法。仿真结果表明这些方法具有很好的控制效果。 本文还对TMS320LF2407 DSP的C语言程序设计进行了比较详细的讨论，在2407上编制了SCI串行通信和空间矢量调制等程序。更多还原

【Abstract】 Process control systems use PID controller extensively. The PID controller has many good characteristics such as simple structure, good adaptability, and it has a long period application. Control engineer had accumulated many experiences in PID controller parameter regulation. But because shipping power system is rather complex system, which need the ship, the main machine and the propeller to cooperate closely. The rpm control system is a non-linear, time varying system, so it is difficult for the traditional PID controller to reach optimum control result.This article researches the intelligent PID control algorithms carefully. After a particular introduction of single neuron intelligent PID controller and it’s parameter self-regulating algorithm, this article realized the following algorithm on TMS320LF2407 DSP with C language: traditional PID control algorithm, single neuron adaptive control algorithm supervised by Hebb learning algorithm and single neuron adaptive control algorithm using Pe2(k + d) + Qu2(k) as performance figure. Emulation result indicates that those methods have satisfactory control result.This article also had a detailed discussion on TMS320LF2407 DSP C language programming. Some programs such as SCI Serial communication module and SVPWM (Space Vector Pulse Width Modulation) module were programmed on a 2407 microcontroller.更多还原