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Speed Limiter for Watercrafts
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  1. Speed Limiter for Watercrafts Presented by: Hadi Golkarieh Shahab Bagher Ali Alavi Nima Hossein-Javaheri Kambiz Daheshpour TA: Hanliu Chen Professor: Dr. Habash

  2. References • K. R. Butts, N. Sivashankar, and J. Sun, “Application of optimal control to the engine idle speed control problem,” IEEE Trans. Control Syst.Technol., vol. 7, no. 2, pp. 258–270, Mar. 1999. • D. Cho and J. K. Hedrick, “A nonlinear controller design method for fuel-injected automotive engines,” J. Eng. Gas Turbines Power, vol. 110,pp. 313–320, 1988. • M. Abate and N. Dosio, “Use of fuzzy logic for engine idle speed control,” Soc. Auto. Eng., 900594, 1990. • P. Micheau, R. Oddo, and G Lecours, IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, VOL. 14, NO. 3, MAY 2006 • S. D. Kaehler, “Fuzzy Logic Tutorial”, <http://www.seattlerobotics.org/encoder/mar98/fuz/flindex.html>

  3. Abstract • Controls the engine speed of the watercraft • High rpm can shorten the life span of motor • Prevents engine from stalling • Achieved by changing the fuel to air ratio

  4. Possible Solutions • PID Controller • Fuzzy Logic • Stochastic and Adaptive Control

  5. Controller

  6. The Block Diagram

  7. Fuzzy Logic Control • Easier to implement since g function is non-linear • Helps define a range of values for g function • Two inputs: Engine Reference Torque & Speed • One output: Fuel/mass ratio

  8. Fuzzy Logic Control Rule Table Surface Map

  9. Outputs Acceleration = 0.5m/s2

  10. Outputs Acceleration = 2m/s2

  11. Possible Improvements • More sophisticated fuzzy control logic • Control the Air mass in the cylinders • Include a PID controller to reduce the response time • Insert pressure sensors on the propellers to estimate the load torque

  12. Conclusion • Successfully simulated the desired control system • Designed an innovative control system using fuzzy logic, despite the lack of the engine’s transfer functions

  13. Thank You! Any Questions?