An all-proportional-derivative (PD) control-based modified Smith predictor design is reported here for second-order delay-dominated integrating processes. The proposed control structure is realized with two PD controllers along with a first-order filter towards achieving the desired closed-loop response. To eliminate the tuning complexity, reported internal model control (IMC) scheme suggests a single tuning parameter λ (i.e. closed-loop time constant) to tune both the PD controllers along with the filter present in the modified Smith predictor designing. The forward path PD controller parameters are obtained as per the IMC tuning guideline suggested for servo tracking, whereas the feedback path PD controller is realized based on Routh stability analysis with a goal towards improved regulatory responses. The firstorder filter present in the feedback path helps to ensure robust closed-loop performance. Considerable performance enhancement is observed during set point tracking by the proposed scheme where no overshoot is observed even with smaller rise time. In addition, smooth and reasonably quick load rejection behaviour is also found during a regulatory response. Superiority of the proposed scheme is also substantiated in comparison with others' reported dead-time compensating techniques in terms of closed-loop performance indices as well as stability margins.
Improved disturbance rejection behaviour with modified Smith predictor is reported here for controlling integrating first-order plus time delay processes. Due to location of a pole at origin, process is said to be integrating in nature. In addition, due to presence of considerable dead time, it is very difficult to obtain the desired output from such processes using conventional control technique. In practice, a good number of chemical processes (e.g. distillation, evaporation, combustion, drying etc.) are integrating as well as delay dominating in nature. To ascertain desirable close-loop response for processes with large dead time, Smith predictor is a renowned methodology due to its simplicity and efficacy. But, this technique fails to perform satisfactorily for integrating processes with time delay. A good alternative can be considered as modified Smith predictor. This technique involves more than one controller for achieving desirable servo as well as regulatory responses. To avoid the tuning complexity of controllers, our proposed scheme involves comparatively less number of controllers with relatively simple tuning guide line. Distinct feature of the proposed tuning scheme is that process overshoot can be restricted within acceptable limit as well as improved load recovery can also be achieved. Efficacy of the proposed scheme is substantiated through performance assessment as well as stability study in comparison with well-known modified Smith predictor based tuning relations is also reported.
Modified Smith predictor (MSP)‐based fractional propotional derivative (PD)‐PD controller (FO [PD‐PD]) is presented here for controlling double integrating plus time delay (DIPTD) processes. The proposed scheme comprises of two fractional PD controllers together and a first‐order filter to ascertain satisfactory servo as well as regulatory responses. Here, forward path fractional PD controller works towards attaining improved servo response and feedback path fractional PD controller ensures enhanced load regulation. Tuning parameters of both the controllers are obtained through optimization algorithm. The first‐order filter present in the feedback path is responsible for providing improved robustness and is designed with single tuning parameter—closed‐loop time constant ( normalλ). Efficacy of the proposed MSP‐based fractional order PD‐PD controller or MSP‐FO (PD‐PD) is substantiated through simulation study, and its superiority is established in comparison with others' recent works on DIPTD processes.
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