英文摘要 |
This research intends to adopt the concept of parameter design optimization to find out the design parameter value for the internal model control (IMC) method. The internal model control (IMC) method adopted in this paper belongs to the model-based approach, which is characterized by explicit dependence between the plant model parameters and the controller parameters. In this study the simplicity of the 1st order Nomoto model renders it an ideal basis for an autopilot design. In the 1st order Nomoto model, parameter T is the effective yaw mode time constant and k is the rudder gain. The IMC structure, the controller gains depend explicitly on the plant parameters k、T and the design parameter . Once the plant model is chosen and the design parameter is selected, the controller follows immediately. The IMC structure can be transformed into the classical feedback structure. In the internal model control (IMC) structure the is a design parameter that determines the speed of response of the closed-loop system. Moreover, the IMC controller is intuitively straightforward and easily implemented using existing software. Most of the control engineers were engaged in design a prefect control system which with fast response and without any overshoots. In this study intends to use the parameter design optimization technique to find the best design parameter to achieved both quick response time and without overshoots at same time. The research and analysis results show that when the design parameter value is too small then the overall system response is prone to oscillating. When the value is small, the response time of the ship to reach the specified heading angle is relatively fast, but its sacrifice the overshoot. Conversely, when the value is large, the time required for the vessel to reach the specified heading angle is longer to reach steady state, that is, the response time for the vessel to reach steady state is relatively long. |