In memory with Mr. Vijay Parthasarathy, my respected ex-boss, passed away at Farther's day

Vijay先生在我被调往印度班加罗尔工作期间,作为我的上司和导师,指导并培养了我。他不仅在业务上取得了巨大成就,将电信和非电信团队从零打造到规模超越所有国际业务,还通过个人魅力和管理才能,引领公司和个人发展。他的严谨、诚实和卓越的愿景使我在2009年有机会加入印度办公室,并在他的指导下成长。如今,在父亲节那天我们得知他已离世的消息,我深感悲痛,向他的家人和朋友致以最深切的哀悼。

Mr.Vijay was my boss when I was relocated and staying in Bangalore India for two years, he guided me and was mentoring me in the work and life, I grew a lot during those times.


He is the smart card guru, had built up the India team of Telecom and non-Telecom from scratch, the business grew from almost nothing to the size bigger than all other international business combined, this is a great achievement under his leadership, influence and management.


Personally I was lucky when there was an opening position in India office in year 2009, and I was interviewed and recruited by Mr.Vijay himself, so I have the great opportunity to follow his lead, Mr.Vijay was an integrity and honorable man, always teach me a lot of detail things in the office in patience, he has the great visionary, and provide the direction for both the company and personal, whenever you have any difficulties, he is always there, and Mr.Vijay is also strict to his subordinate and has high expectations to the work results and target, I will never achieve what I have accomplished without all his support and mentoring.    


I am saddened to hear the news that he has passed away at the Farther's day, may he rest in peace, my sincere condolence to his families and friends.

WD_India_team

C语言-光伏MPPT算法:电导增量法扰动观察法+自动全局搜索Plecs最大功率跟踪算法仿真内容概要:本文档主要介绍了一种基于C语言实现的光伏最大功率点跟踪(MPPT)算法,结合电导增量法与扰动观察法,并引入自动全局搜索策略,利用Plecs仿真工具对算法进行建模与仿真验证。文档重点阐述了两种经典MPPT算法的原理、优缺点及其在不同光照和温度条件下的动态响应特性,同时提出一种改进的复合控制策略以提升系统在复杂环境下的跟踪精度与稳定性。通过仿真结果对比分析,验证了所提方法在快速性和准确性方面的优势,适用于光伏发电系统的高效能量转换控制。; 适合人群:具备一定C语言编程基础和电力电子知识背景,从事光伏系统开发、嵌入式控制或新能源技术研发的工程师及高校研究人员;工作年限1-3年的初级至中级研发人员尤为适合。; 使用场景及目标:①掌握电导增量法与扰动观察法在实际光伏系统中的实现机制与切换逻辑;②学习如何在Plecs中搭建MPPT控制系统仿真模型;③实现自动全局搜索以避免传统算法陷入局部峰值问题,提升复杂工况下的最大功率追踪效率;④为光伏逆变器或太阳能充电控制器的算法开发提供技术参考与实现范例。; 阅读建议:建议读者结合文中提供的C语言算法逻辑与Plecs仿真模型同步学习,重点关注算法判断条件、步长调节策略及仿真参数设置。在理解基本原理的基础上,可通过修改光照强度、温度变化曲线等外部扰动因素,进一步测试算法鲁棒性,并尝试将其移植到实际嵌入式平台进行实验验证。
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