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

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>

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

Possible Solutions PID Controller Fuzzy Logic Stochastic and Adaptive Control

Controller

The Block Diagram

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

Fuzzy Logic Control Rule Table Surface Map

Outputs Acceleration = 0.5m/s2

Outputs Acceleration = 2m/s2

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

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

Thank You! Any Questions?