Huang H.-P.Lee M.-W.Chen C.-L.2019-05-212019-05-21200003681653https://scholars.lib.ntu.edu.tw/handle/123456789/409699A modified PID (m-PID) controller design using low order dynamic models is presented. In contrast to the one of Haggland and Astrom (1985), the controller uses model-based parameters. Synthesis of such a controller is by way of an inverse-based approach. By this approach, a pure lead is introduced into a loop to make the system equivalent to a modified Smith predictor (MSP) control system. Tuning rules for this m-PID controller are then derived from this equivalent system. For robustness, gain and phase margins are analyzed. It is found that this proposed m-PID control system has good responses to both set-point and load changes. Tuning rules derived from reduction of this m-PID controller for conventional PID control have also been presented.A modified PID (m-PID) controller design using low order dynamic models is presented. In contrast to the one of Haggland and Astrom (1985), the controller uses model-based parameters. Synthesis of such a controller is by way of an inverse-based approach. By this approach, a pure lead is introduced into a loop to make the system equivalent to a modified Smith predictor (MSP) control system. Tuning rules for this m-PID controller are then derived from this equivalent system. For robustness, gain and phase margins are analyzed. It is found that this proposed m-PID control system has good responses to both set-point and load changes. Tuning rules derived from reduction of this m-PID controller for conventional PID control have also been presented.Dead timeIntegratorInverse-basedM-PIDModified smith predictorNon-minimum phasejournal article2-s2.0-0034190323https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034190323&partnerID=40&md5=62f166c655d815c7e5728d68f0256dc6