Design of IMC Tuned PID Controller for First Order Process with No Delay
B. Mabu Sarif1, D. V. Ashok Kumar2, M. Venu Gopala Rao3

1B. Mabu Sarif*, Research Scholar, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India.
2D. V. Ashok Kumar, Professor, Dept. of EEE, Rajeev Gandhi Memorial College of Engineering & Technology, Nandyal, Andhra Pradesh, India
3M. Venu Gopala Rao, Professor & Head, Department of Electrical & Electronics Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 10, 2020. | PP: 261-265 | Volume-9 Issue-5, March 2020. | Retrieval Number: D1610029420/2020©BEIESP | DOI: 10.35940/ijitee.D1610.039520
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Abstract: IMC tuned PID controller’s present excellent set point tracking but sluggish disturbance elimination, because of introduction of slow process pole introduced by the conventional filter. In many industrial applications setpoint is seldom changed thus elimination of disturbance is important. The paper presents an improved IMC filter cascaded with Controller PID tuned by internal model principle (IMC-PID) for effective elimination of disturbance and healthy operation of non-regular first order process such as processes with no delay. The suggested filter eliminates the slow dominant pole. The present study shows that the recommended IMC filter produces excellent elimination of disturbance irrespective of where the disturbance enters the process and provides acceptable robust performance to model disparity in provisions of maximum sensitivity in comparison with other methods cited in the literature. The advantages of the suggested technique is shown through the simulation study on process by designing the IMC tuned PID controllers to maintain identical robustness in provisions of maximum sensitivity. The integral error criterion is used to estimate the performance. The recommended filter produces excellent response irrespective of nature of the process. 
Keywords: Internal Model Control, filter form, Disturbance Elimination, Robustness, Integral Criteria, Non-regular Process.
Scope of the Article:  Probabilistic Models and Methods