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
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., , 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”, <

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?