Smith自抗扰控制器在过程时滞系统中的应用
Smith自抗扰控制器在过程时滞系统中的应用Abstract:Smith predictor (SP) is a well-established control strategy used to m
Smith 自抗扰控制器在过程时滞系统中的应用 Abstract: Smith predictor (SP) is awell-established control strategy used to mitigate the effects of time delay in process control systems. This paper highlights the application of SP control for time delay systems in process control. The SP control strategy is discussed in detail, including its basic principles, advantages, and limitations. The paper also presents the design steps involved in implementing the SP controller. The effectiveness of the SP control strategy is demonstrated through practical examples and simulation studies. Finally, some future research directions are outlined based on the current state of the art of SP control. Introduction: Time delay is acommon phenomenon in process control systems, which can lead to poor system performance and instability. It is caused by the time taken for asignal to travel through the system from the input to the output. The effect of time delay becomes more significant as the frequency of the input increases. Therefore, it is essential to have an effective control strategy to tackle time delay in process control systems. The Smith predictor (SP) is acontrol strategy that is widely used to overcome the effects of time delay in process control systems. It was first introduced by Owen Smith in 1957 and has since become apopular control method due to its simplicity and effectiveness. This paper discusses the application of SP control in time-delay systems in process control. Smith predictor control strategy: The basic idea of the Smith predictor control strategy is to estimate the future output of the system based on the current input and past process data. The estimate of the future output is then used to generate the control signal, which is applied to the system. This approach can effectively compensate for the effects of time delay in the process control system. The SP control strategy consists of two major components, the primary control loop, and the estimator. The primary control loop is responsible for generating the control signal based on the estimated process output. The estimator, on the other hand, estimates the future

