• 沒有找到結果。

德儀驗證: InstaSPIN-BLDC

七、 數學模型驗證

7.6 德儀驗證: InstaSPIN-BLDC

圖 69. 德儀 BLDC/GUI 使用者界面: Main

103

圖 70. 德儀 BLDC/GUI 使用者界面: Settings

104

圖 71. 德儀 BLDC/GUI 使用者界面: Kp,Ki,及速度控制 Optimal Kd=1.000000e-03, Kp=6.000000e+00, Ki=9.000000e+03

以上結果是在 s-domain 上,必需轉為 Grando 的 z-domain.

由 s-domain 轉成 z-domain 時:

Kp 與 sampling frequency 無關,Kp = 6.0。

由式(26) 因此積分器(Integrator)的 z-transform:

1-1z1

Ts

Ki 與 sampling frequency 有關,在圖 64 及圖 65,z-轉移函數為:

KI(Gr)KI /KPTs

KI(Gr) 90000/6.0104

105

KI(Gr) 0.9/6.0

KI(Gr) 0.15

在 Grando 中,Kd 0。真實的值為:

P s

d

d K K T

GrandK  /

) 10 0 . 6 /(

3 0 .

1   4

GrandKd E 6 /

10

GrandKd 6 .

1

GrandKd

結論:

z-domain 上,Optimal Grando-Kd=1.6, Grando-Kp =6.0, Grando-Ki =0.15

106

八、結論

國內廠商礙於高功率伺服馬達及驅動器技術自給率不足,因此多向國外廠商進口,

製造成本也因而提高,國內廠商目前多有意願發展該技術,若能成功發展射出成型 機的伺服馬達與驅動器技術,短期目標應能搶下國內塑膠射出機設備組件的部分市 場,此外,由於伺服馬達與驅動器技術的應用並非僅限於全電式射出機,在自動化 的趨勢及省能源、高精度的要求下,機械設備/產品改採交流可變速馬達/驅動器 的態勢已漸明顯,其下游關聯產業極為廣泛,根據工研院估計,交流可變速馬達/

驅動器其產業關聯產值高達二仟億元以上。因此,而就長期目標而言,由於未來市 場產值逐漸擴大,應能持續增加伺服馬達及驅動器的銷售額,進而成為拓展事業之 最大利基。射出機之技術包括: 主控端/控制器、從動端/驅動器(如變頻器)、致動器 (如馬達)、感測器(如解角器)、及傳動機構等。

本文在進行專案管理時,運用規劃、排程、執行、控制等活動,並透過協調各種資 源,在有效率的運用各種方式下,完成專案的目標與需求。首先,在取得大同公司 專案研發資源投入後,為了控制專案成本支出,透過大同公司中央研究所長官,推 薦數名具電機專業相關背景的內部員工,並單獨進行談話,除確認專業能力之外,

亦導入工作願景管理,讓可能參與專案執行的員工了解伺服馬達開發對大同公司的 重要性,以及當技術發完成後,專案參與成員在組織內部將具有不可取代性,藉以 提升專案參與成員的動機,及強化成員將來執行專案的效力性。最後,挑選出參與 專案的成員再進行一次集體面談,旨在讓參與成員清楚瞭解技術開發的分工與責任 範圍,並定時進行團體教育課程,成員熟悉領域指派為教育課程講師,藉由相互的 專長教學,增進研發效率,期望專案執行能順利將技術開發完畢。

而在專案管理上所遭遇的不確定性和風險性,由於伺服馬達技術的開發具相當難度,

成功與否已具不確定性,大同公司在資本與人力投入有限的情況下,也替專案的成 敗帶來偌大的風險。惟此部分於先前任職於其他公司時已累積相當多有關伺服馬達 開發相關經驗,且同時擔任工研院講師,除內部成員交流學習外,亦可向外收集相 關建言,作為執行專案的正向回饋,進而降低不確定性與技術開發風險。

目前專案執行已進行半年,透過本文上述的管理策略和執行進度管控,成員分工和 執行力已逐步展現,目前已有部分技術突破,透過本次主導伺服馬達技術開發專案 的經驗累積,已逐漸瞭解主導專案所需考量的相關層面,以及執行團隊的訓練與執 行成效管控,在往後幾年陸續累積對執行本專案的經驗後,將來在有其他相關計畫 的提案和管理上,將可擷取相關經驗成功執行每個專案,甚至是進行創業。

最後,在技術層面上,由於技術射出機產業用於手機、汽車、及電視機。它的關鍵

107

技術在伺服馬達的控制系統。伺服馬達是自動化產業是台灣未來產業之一。用於工 業機械人、半導體自動化、及醫學產業。

整個射出機整個系統十分複雜,售價也很昂貴(射出機國外售價約 1,000~2,000 萬,

國內售價 100~200 萬),研發時間約 4~5 年。整個射出機控制器成本約 3~4 萬(國外 售價約 20 萬)。

伺服馬達約為 1~2 年。借由大同馬達及行銷通路,馬達的控制系統成本約 1~2 萬,

取代外國高價位伺服馬達的控制系統(10~20 萬)是可行的。

由於時間領域有無窮多解,在時間領域中最適解是不實際的(是不可能的)。

本文提初 MATLAB 及數學模式來做馬達系統模擬,將大同馬達的最適化 PID (K 、P K 、及I K )參數求出。德州儀器 BLY172S-24V-4000 的 PID 最適解為 K= 2, a = 100。D 換算成 s-Domain 的 PID 系統的最佳調機參數為,KP 6,KD 1E-3,KI 9000 。 這些 s-Domain 參數必需改為 z-Domain 的參數。

德州儀器的 Grando-PID,參數K 與時間無關,可將 MATLAB 結果直接代入。P 0.15

0.9/6.0 10

9000/6

/ -4

)

(GrI Ps    

I K K T

K

目前本文已成功將數學模式建、模擬、最適化參數求取、及韌體演算法運用於低功 率馬達。

再下來研發項目:

1. 高速 EtherCAT 研發。

2. 高功率馬達設計硬體系。

108

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