Autonomous Optimization Control and the Controllor for Pendulor

Abstract

A wave power converter: Pendulor, works with 40% efficiency at an optimal condition. Irrespective of change the wave climate, an Autonomous Optimization Control (AOC) adjusts hydrostatic power transmission to keep the Pendulor in the best match with the waves. This is a new system to know the wave climate from the Pendulor motion. AOC improves the system reliability and solves load sharing problem in the HST lines.

Study on the Performance of the “Pendulor” Wave Energy Converter in an Array Configuration

“…Figure 15c shows the T p variation with H s when maximum C f is attained at T e = 12 s. As the T p and H s are almost linearly proportional, the device can operate even at higher efficiencies by utilising a proportional controller. This can be practically implemented as suggested by Watabe et al [37]. Figure 16b shows the cumulative energy capture for a 1500 s period for the same, demonstrating that the maximum energy is yielded when the load torque is at 0.8T p 0 .…”

“…The designed system was simulated as such in the irregular wave environment and fairly broader C f above 0.5 were obtained (refer Figure 18a). In this study, the features of the load torque T p that are implicitly dependent on the HST system loaded with the accumulator pressure/flow control systems [23,37] have not been considered. Therefore, to further enhance the energy yield, the only available controllable parameter is the load torque according to the model proposed.…”

“…Similar types of approaches are possible in this case also. Further, Watabe et al [37] proposed an HST system with an autonomous optimum controller for the Pendulor device control. Further studies are required before implementing such control methods for greater performance enhancement.…”