基于dSPACE及FESTO的控制系统平台设计

一些用于实验教学的传统控制装置存在着软件源代码不公开、控制算法单一固定等问题,利用率比较低,因此对其改造很有必要。为了节约成本,提高控制装置的利用率,提出一种基于dSPACE半实物仿真系统和MAT-LAB/Simulink技术的改造方案,并将这一方案运用到具体的FESTO传统控制系统,设计了一个改造实例,建立了系统控制平台。最后对此平台进行了基于单神经元自适应PID控制算法的实验仿真。实验结果表明该控制平台克服了FESTO传统控制系统的弊端,能方便验证控制算法的有效性。

Design of a Control System Platform Based on dSPACE and FESTO

Some traditional control devices don＇t open software source code and only have some simple control algorithms in experimental teaching, so that the utilization rate of the device is lower. Therefore it is necessary to reform them. In order to cut costs and improve the utilization rate of the control device, this paper presents a retrofit scheme based on hardware-in-the-loop simulation system of dSPACE and MATLAB/Simulink technology, which is used in the specific FESTO traditional control system, and designs an example, and then establishes the system control platform. Finally this platform is simulated based on single neuron adaptive PID control algorithm. The experimental results show that the control platform overcomes the disadvantages of FESTO traditional control system, and verifies the effectiveness of the control algorithm conveniently.