造波机是与船模试验水池配套的、能够在水池中模拟波浪的大型实验设备，波浪模拟对于船舶、水利、港口工程以及海洋工程等许多领域的研究都有重要的意义。本文从改进水池造波系统性能，提高造波品质，使造波机具有较强的抗击性的目的出发，设计了电液伺服控制的模拟不规则波摇板式造波机控制系统。 首先，分析了电液伺服摇板式造波机控制系统，在此基础上建立了伺服放大器、电液伺服阀、阀控液压缸以及拉压力传感器的模型，并进行了合理的系统模型简化，得到了伺服控制系统的数学模型，导出了系统的仿真模型，对系统进行了仿真研究。 其次，在研究了电液伺服系统PID控制算法的基础上，采用Ziegler-Nichols方法和仿真实验法整定了PID控制器的参数，验证了该算法在电液伺服控制系统中的有效性。 再次，研究了模糊控制器的理论和方法，重点对在线调整式模糊PID参数自整定控制算法分析和设计。确定了模糊PID控制器的结构及电液伺服系统的模糊规则和隶属度函数，给出了PID参数的自整定规则。仿真验证了模糊PID参数自整定控制算法具有超调小、响应速度快、稳态精度高以及自适应性强等优点，并得出了该算法的控制效果优于常规PID控制算法的结论，达到了预期的控制效果。 最后，研究了径向基函数(RBF)神经网络整定的PID控制算法，依照神经网络的学习算法，在线调整PID控制器的参数，使得给定的性能指标最优，实验验证了该控制算法的可行性。

Wave maker is the large laboratory equipment matching ship-model testing basin, which is able to simulate wave in a basin. Wave simulation is very important to ship, water conservancy, port engineering, ocean engineering etc. In order to develop the performance in the basin, enhance the quality and strengthen the oppugn ability of wave maker, this thesis designs the control system of the rocker-flap wave maker irregular wave simulation controlled by electro-hydraulic servo. Firstly, the models of servo amplifier, electro-hydraulic servo valve, valve-controlled hydraulic and pull-pressure sensor are built, and the system model is simplified reasonably, which is on the basis of analyzing the control system of electro-hydraulic servo rocker-flap wave maker. Then, the mathematical model of servo control system was obtained, simulation model of system was derived, and simulation research was done for the system. Secondly, with the study of electro-hydraulic servo system PID control algorithm, the parameters tuning for PID controller were studied by using Ziegler-Nichols method and simulation method. Experimental results verified that this algorithm is effective in the electro-hydraulic servo system. Thirdly, the theory and method of fuzzy controller were studied, this thesis mainly analyzed and designed fuzzy PID parameters tuning control algorithm which is adjusted on-line, and determined the structure of fuzzy PID controller and the fuzzy rules of electro-hydraulic servo system and membership function. Self-tuning rules of PID parameters were given. Simulation experimental results verified that fuzzy PID parameters self-tuning control algorithm had some advantages, such as small overshoot, rapid response, high accuracy, and strong ability of self-adaptation, and so on. The conclusion that this algorithm was better than conventional PID control algorithm was obtained, which reached expected control effect. Finally, the RBF neural network tuning PID control algorithm was discussed. The parameters of PID controller are adjusted on-line based on learning algorithm of neural network, which make the given performance index optimal. The experimental result verifies the feasibility of the control algorithm.