論壇名稱：海浪新能源轉(zhuǎn)換研究系列報告

會議地點：騰訊會議直播

主辦單位：機電工程學(xué)院

主持人：平續(xù)斌

講座人介紹：

張瑤（Yao Zhang）博士于2018年在哈爾濱工業(yè)大學(xué)航天學(xué)院控制科學(xué)與工程專業(yè)獲得博士學(xué)位，現(xiàn)為英國諾桑比亞大學(xué)（Northumbria University）助理教授，IEEE英國與愛爾蘭地區(qū)控制學(xué)科委員會成員。研究方向為自動控制理論及其在深空探測、新能源等領(lǐng)域的應(yīng)用。在IEEE Transactions on Industrial Informatics, IEEE Transactions on Sustainable Energy及IEEE Transactions on Aerospace and Electronics Systems等國際著名期刊發(fā)表論文10余篇。發(fā)表在《自動化學(xué)報》的文章獲得2018年度“領(lǐng)跑者5000--中國精品科技期刊頂尖學(xué)術(shù)論文”（F5000）獎。

摘要：

With the recent sharp increases in the price of oil, issues of security of supply, and pressure to honour greenhouse gas emission limits, much attention has turned to renewable energy sources to fulfil future increasing energy needs. Despite the fact that the earliest wave-energy devices were suggested in the 19th century, the development of wave energy technology has been slow, and little convergence on an optimum shape, or even operating principle, has been achieved. In addition to the relative lack of progress in basic WEC design, there is, understandably, a corresponding “fertile field” in the development of control system technology to optimize the operation of wave-energy devices. Therefore, wave energy has not been commercialized and advanced control and observation methods for this particular area are in high demand.

報告1：Introduction to sea wave energy and wave energy converters

會議時間：6月10日15:30-17:30

會議地點：騰訊會議直播(ID：392 686 453 鏈接 https://meeting.tencent.com/s/rXjQvqb9xIDJ)

講座內(nèi)容：

Ocean waves are a huge, largely untapped energy resource, and the potential for extracting energy from waves is considerable. Research in this area is driven by the need to meet renewable energy targets, but is relatively immature compared to other renewable energy technologies. This review introduces the general status of wave energy and evaluates the device types that represent current wave energy converter (WEC) technology, particularly focusing on work being undertaken within the United Kingdom. The possible power take-off systems are identified, followed by a consideration of some of the control strategies to enhance the efficiency of point absorber-type WECs. There is a lack of convergence on the best method of extracting energy from the waves and, although previous innovation has generally focused on the concept and design of the primary interface.

報告2：Sea wave excitation force forecasting and performance analysis

會議時間：6月10日15:30-17:30

會議地點：騰訊會議直播(ID：392 686 453 鏈接 https://meeting.tencent.com/s/rXjQvqb9xIDJ)

講座內(nèi)容：

The wave excitation force estimation and prediction plays an important role in improving the performance of causal and non-causal controllers for wave energy converters (WECs). This research proposes a robust adaptive sliding-mode observer (ASMO) to estimate the wave excitation force subject to unknown disturbances and parametric uncertainties for a multi-motion multi-float WEC, called M4. Both the convergence time and the estimation error can be explicitly bounded within expected limits by tuning the ASMO parameters, which are essentially beneficial for causal controllers to maintain the control performance. A fixed-time convergent sliding variable is designed to drive the estimation error into a small region within a fixed time. Due to the adaptive law, the overall system is proven to be finite-time stable, which allows explicit formulations of the convergence time and the estimation error. Moreover, based on the wave force estimation by the ASMO, an improved Auto-Regressive (AR) model whose coefficients are updated by online training is developed to predict the wave excitation force. The prediction errors can also be explicitly estimated to achieve guaranteed control performance for the non-causal controller requiring future excitation force.

報告3：Model predictive control and its application to wave energy converters

會議時間：6月15日15:30-17:30

會議地點：騰訊會議直播(ID：721 777 785  鏈接 https://meeting.tencent.com/s/jbvFQiwiwkW5)

講座內(nèi)容：

A novel feedback noncausal model predictive control (MPC) strategy for sea wave energy converters (WECs) is proposed, where the wave prediction information can be explicitly incorporated into the MPC strategy to improve the WEC control performance. The proposed feedback noncausal MPC algorithm can also be extended to a wide class of control design problems, especially to the energy maximisation problems with constraints to be satisfied and subject to persistent but predictable disturbances. Numerical simulations are provided to show the efficacy of the proposed feedback noncausal MPC. Other MPC-like methods are also included for comparison purposes.

報告4：Model predictive control for wave energy converters with inaccurate prediction  

會議時間：6月15日15:30-17:30

會議地點：騰訊會議直播(ID：721 777 785  鏈接 https://meeting.tencent.com/s/jbvFQiwiwkW5)

講座內(nèi)容：

To maximize energy conversion in real scenario, three issues should be fully considered: (a) the existing wave prediction methods inevitably introduce prediction errors, which degrades the control performance; (b) the model mismatch between the linearized state-space model and the hydrodynamic model also affects the control performance. Theoretical proof and simulation results show that the proposed controller is robust to achieve the maximal energy output subject to inaccurate prediction and inaccurate control-oriented model.

報告5：Non-causal Control for single point absorber wave energy converters with model mismatch

會議時間：6月17日15:30-17:30

會議地點：騰訊會議直播(ID：556 804 808 鏈接 https://meeting.tencent.com/s/cBfcC0SGmbiK)

講座內(nèi)容：

Sea wave energy converter control is a non-causal optimal control problem, and the control performance relies on the accuracy of wave prediction information. However, the existing wave prediction methods, such as Auto-Regressive (AR) method, extended Kalman Filter (EKF), Artificial neural network and deterministic sea wave prediction (DSWP), inevitably introduce prediction errors. This research presents a robust non-causal linear optimal control of wave energy converters to explicitly cope with the prediction error of sea wave prediction and simultaneously compensate the modelling uncertainty caused by wave force approximations.

報告6：Excitation force free Control for multi-float multi-motion wave energy converters

會議時間：6月17日15:30-17:30

會議地點：騰訊會議直播(ID：556 804 808 鏈接 https://meeting.tencent.com/s/cBfcC0SGmbiK)

講座內(nèi)容：

As a non-causal optimal control problem, the performance of wave energy converter (WEC) control relies on the accuracy of the future incoming wave prediction. However, the inevitable prediction errors can degrade WEC performance dramatically especially when a long prediction horizon is needed by a WEC non-causal optimal controller. To tackle this issue, this research proposes a novel non-causal linear optimal control with adaptive sliding mode observer (NLOC+ASMO) scheme, which can effectively mitigate the control performance degradation caused by wave prediction errors. The proposed NLOC+ASMO scheme does not cause heavy computational load enabling its real-time implementation on standard computational hardware, which is especially critical for the control of WECs with complicated dynamics.