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Speed Limiter for Watercrafts

This project, by Hadi Golkarieh and team, aims to control watercraft engine speed to enhance performance, prevent wear, and avoid stalling. Utilizing fuzzy logic and adaptive control methods, the system efficiently adjusts fuel-air ratio. Future enhancements include sophisticated fuzzy control logic and incorporating pressure sensors for load torque estimation.

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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?

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