鎽� 瑕侊細鏈枃瑷庤珫浜嗙缍�(j墨ng)缍�(w菐ng)绲�(lu貌)PID鎺у埗绛栫暐锛屽埄鐢ㄧ缍�(j墨ng)缍�(w菐ng)绲�(lu貌)鐨勮嚜瀛�(xu茅)缈�(x铆)鑳藉姏閫�(j矛n)琛孭ID鎺у埗鍙冩暩(sh霉)鐨勫湪绶氭暣瀹�锛屽苟浣跨敤Matlab杌熶欢閫�(j矛n)琛屼簡浠跨湡鐮旂┒銆備豢鐪熺祼(ji茅)鏋滆〃鏄�锛岀缍�(j墨ng)缍�(w菐ng)绲�(lu貌)PID鎺у埗鍣ㄥ弮鏁�(sh霉)瑾�(di脿o)鏁寸啊(ji菐n)鍠紝鍏锋湁寰堥珮鐨勭簿搴﹀拰寰堝挤(qi谩ng)鐨勯仼鎳�(y墨ng)鎬�锛屽彲浠ョ嵅寰楁豢鎰忕殑鎺у埗鏁堟灉銆� 闂�(gu膩n)閸佃锛�绁炵稉(j墨ng)缍�(w菐ng)绲�(lu貌)锛孊P缍�(w菐ng)绲�(lu貌)锛孭ID锛屽弮鏁�(sh霉)鏁村畾锛屼豢鐪� Abstract: This paper discusses the nerve network PID control strategy, makes use of the study ability of the nerve network to turning the PID control parameters, and proceeds the simulation research using matlab software. From the simulation results, it is can be shown that Neural Network PID controller have the higher accuracy and stronger adaptability, and can get satisfied control result. Key word: neural network, BP neural network, PID, parameter turning, simulation 1.寮曡█ 銆€銆€PID鎺у埗鐢变簬鍏跺叿鏈夌洿瑙€鎬уソ銆佸(sh铆)鐝�(xi脿n)绨�(ji菐n)鍠�銆佸彲闈犳€ч珮浠ュ強寮�(qi谩ng)榄鎬х瓑鍎�(y艒u)榛�(di菐n)锛屽湪宸ユキ(y猫)鎺у埗涓緱鍒板唬娉涚殑鎳�(y墨ng)鐢�锛屽挨鍏堕仼鐢ㄤ簬寤虹珛浜嗙簿纰烘暩(sh霉)瀛�(xu茅)妯″瀷鐨勭⒑瀹氭€х郴绲�(t菕ng)銆傜劧鑰屽父瑕�(gu墨)PID鎺у埗鏁堟灉鐨勫劒(y艒u)鍔ｇ洿鎺ュ彇姹轰簬鎺у埗鍙冩暩(sh霉)閬稿彇鐨勫ソ澹�锛岃€屽偝绲�(t菕ng)鏂规硶鏄湪鐛插彇鎺у埗灏�(du矛)璞℃暩(sh霉)瀛�(xu茅)妯″瀷鐨勫熀绀�(ch菙)涓�,鏍规摎(j霉)鏌愪竴鏁村畾鍘熷墖渚�(l谩i)纰哄畾PID鍙冩暩(sh霉)锛屼絾鐝�(xi脿n)浠ｅ伐妤�(y猫)閬�(gu貌)绋嬫(j墨)鐞嗗京(f霉)闆�锛屽ぇ閮藉瓨鍦ㄨ憲闈炵窔鎬�銆佹檪(sh铆)璁�銆佽畩鍙冩暩(sh霉)銆佽畩绲�(ji茅)妲�(g貌u)绛変笉纰哄畾鎬�锛岄洠浠ョ⒑瀹氱簿纰虹殑鏁�(sh霉)瀛�(xu茅)妯″瀷锛屽埄鐢ㄥ父瑕�(gu墨)鐨凱ID鎺у埗寰堥洠鐛插緱婊挎剰鐨勬帶鍒舵晥鏋溿€傚彟澶�锛屽父瑕�(gu墨)PID鎺у埗瀛樺湪钁楁帶鍒跺弮鏁�(sh霉)褰㈠紡鍥哄畾銆佷笉鏄撳湪绶氳(di脿o)鏁�銆佸弮鏁�(sh霉)鏁村畾閬�(gu貌)绋嬮暦(zh菐ng)銆佸弮鏁�(sh霉)闁撶浉浜掑奖闊跨瓑鍟�(w猫n)椤�锛岄€欏湪涓€瀹氱▼搴︿笂褰遍熆浜哖ID鎺у埗鐨勪娇鐢ㄥ強鎺у埗鏁堟灉; 銆€銆€鐐轰娇鎺у埗鍣ㄥ叿鏈夎純濂藉湴鑷仼鎳�(y墨ng)鎬э紝瀵�(sh铆)鐝�(xi脿n)鎺у埗鍙冩暩(sh霉)鐨勮嚜鍕�(d貌ng)瑾�(di脿o)绡€(ji茅)锛屽彲浠ラ噰鐢ㄧ缍�(j墨ng)缍�(w菐ng)绲�(lu貌)鎺у埗鐨勬柟娉�銆傚埄鐢ㄧ缍�(j墨ng)缍�(w菐ng)绲�(lu貌)鎵€鍏锋湁鐨勯潪绶氭€ф槧灏勮兘鍔�銆佽嚜瀛�(xu茅)缈�(x铆)鑳藉姏銆佹鎷帹寤ｈ兘鍔涳紝绲�(ji茅)鍚堝父瑕�(gu墨)PID鎺у埗鐞嗚珫锛岄€氶亷(gu貌)鍚告敹鍏╄€呯殑鍎�(y艒u)鍕�(sh矛)锛屼娇绯荤当(t菕ng)鍏锋湁鑷仼鎳�(y墨ng)鎬�锛屽彲鑷嫊(d貌ng)瑾�(di脿o)绡€(ji茅)鎺у埗鍙冩暩(sh霉)锛岄仼鎳�(y墨ng)琚帶閬�(gu貌)绋嬬殑璁婂寲锛屾彁楂樻帶鍒舵€ц兘鍜屽彲闈犳€с€� 銆€銆€瑭虫儏璜�(q菒ng)榛�(di菐n)鎿婏細绁炵稉(j墨ng)缍�(w菐ng)绲�(lu貌)PID鎺у埗绛栫暐鍙婂叾Matlab浠跨湡鐮旂┒