Abstract
During the voyage of a ship, the performance of a controllable pitch propeller (CPP) is severely affected by the changing load demand and ever-present disturbance from ocean waves, which will also result in model uncertainty. In order to improve the performance of the CPP system, an online high-performance genetic algorithm (HPGA)-based sliding mode control (SMC) strategy is proposed. Firstly, the model of the CPP system is obtained according to the manufacturer’s instructions. Then, a chattering-free sliding mode controller (CF-SMC) is designed for the CPP system, after which the parameters in the CF-SMC are optimized with the HPGA method. Finally, the optimized CF-SMC is applied to an experimental setup of a prototype CPP system. In order to validate the effectiveness of the proposed method, it is compared with a proportional-integral-derivative (PID) controller, which is typically applied on real CPP-systems, with results indicating the superiority of the proposed method.
Highlights
During the voyage, the disturbance from the sea is ever-present, and the operation mode changes which will result in varying load and model uncertainty in the controllable pitch propeller (CPP) system
(7), the model can be obtained as: been introduced in many studies, this paper focuses on the online high-performance genetic algorithm (HPGA) and CF-sliding mode control (SMC), and they are introduced as follows
The method is verified on the scale model of the CPP system, and the results indicate that the proposed method performed properly
Summary
The disturbance from the sea is ever-present, and the operation mode (slam start, crash stop, sever turning circles, etc.) changes which will result in varying load and model uncertainty in the CPP system. An online HPGA-based sliding mode controller is designed for the CPP system to reach the desired pitch as quickly as possible. A quasi-continuous high-order sliding mode control based on an adaptive fuzzy controller was applied to an output feedback tracking control scheme with only a position measurement With this scheme, the chattering phenomenon is eliminated effectively [14]. Stable control of the blade of great importance for theSecondly, economicala smooth and safe sliding mode controller is designed for the CPP system with optimized control parameters by HPGA. According to the manufacturer’s throughHPGA-based a parameter sliding estimator, HPGA generates optimized control parameters in real-time for a sliding instructions of the main equipment in the system, the model of the system is mode obtained. 3, the principle of the online HPGA-based simulation experiments on described
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
