Optimization of PID Governor Coefficient for Turbocharged Diesel Engine
Jagannath Hirkude1, Mrinal Manoj Borkar2
1Dr. Jagannath Hirkude *, Mechanical Engineering Department, Goa College of Engineering, Goa, India.
2Mrinal Borkar, Mechanical Engineering Department, Padre Conceicao College of Engineering, Goa, India.
Manuscript received on February 02, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on March 30, 2020. | PP: 1073-1076 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7531038620/2020©BEIESP | DOI: 10.35940/ijrte.F7531.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The objective of this study is to find optimum governor coefficient for which fluctuation of engine speed is minimum, for given value of engine, turbo-charger, inlet and exhaust manifold characteristics. Current study uses the Wishnegradski Stability Diagram as suggested by V. I. Krutov [1], which graphically represents the dynamic response of governor based on the engine differential equation which is of the third order. For the load type of L = B cos (wt): The objective function is designed to minimize the integral squared error over a time period T, which is taken as 5seconds. The constraints are formed using Wishnegradski Stability Curves which are mathematically represented as x > 0 and xy – 1 > 0 y > 0, where x, y are non-dimensional parameters depending on engine characteristics and Ne is the error function. From the experimental data obtained by test on a marine turbo-charged, 6 cylinder engine model KTA-1150C-600 of the Kirloskar make, the optimized values of Kp, Ki and Kd were obtained as 798.94, 41.50 and 1137.4 respectively and corresponding objective function is 2.2202e-07 and amplitude of speed fluctuation is 2.6642e-04 rpm.
Keywords: About Four Key Words or Phrases in Alphabetical Order, Separated By Commas.
Scope of the Article: Discrete Optimization.