Javascript Minimax算法在国际象棋中不适合队友

我的目标是编写一个稍微正常的国际象棋引擎，在下面的位置，它是2中的一个伙伴，引擎应该很容易找到它的深度为4-5.

人工智能的第一个动作是Ra2捕捉白王，白王进入f1，而不是交配，人工智能将车移动到c2.

  var initial_depth = depth;
  var bestMove = null;
  var nodes = 0;
  var ret = await minimax(position, depth, alpha, beta, maximizingPlayer);
  console.log("nodes visited: " + nodes);
  return ret;
 
  async function minimax(position, depth, alpha, beta, maximizingPlayer) {
    nodes++;
    if (maximizingPlayer) {
      var validMoves = await getValidMoves(position, ArrtoFEN(position) + " w");
    } else {
      var validMoves = await getValidMoves(position, ArrtoFEN(position) + " b");
    }
    if (validMoves.length < 1 || depth == 0) {
      var eval = await getEval(position);
      return [eval, null];
    }
 
    if (maximizingPlayer) {
      var maxEval = Number.NEGATIVE_INFINITY;
      for (var i = 0; i < validMoves.length; i++) {
        var move = validMoves[i];
        
        var testbrd = makeMove(move, position)  //not the actual code. shortend for Readability
 
        
        var eval = await minimax(testbrd, depth - 1, alpha, beta, false);
        if (eval[0] > maxEval) {
          maxEval = eval[0];
          if (initial_depth == depth) {
            bestMove = move;
            console.log("current bestmove: " + bestMove);
          }
        }
        alpha = Math.max(alpha, eval[0]);
        if (beta <= alpha) {
          break;
        }
      }
      return [maxEval, bestMove];
    } else {
      var minEval = Number.POSITIVE_INFINITY;
 
      for (var i = 0; i < validMoves.length; i++) {
        var move = validMoves[i]; 
          
        var testbrd = makeMove(move, position)//not the actual code. shortend for Readability
 
        var eval = await minimax(testbrd, depth - 1, alpha, beta, true);
        if (eval[0] < minEval) {
          minEval = eval[0];
          if (initial_depth == depth) {
            bestMove = move;
            console.log("current bestmove: " + bestMove);
          }
        }
        beta = Math.min(beta, eval[0]);
        if (beta <= alpha) {
          break;
        }
      }
 
      return [minEval, bestMove];
    }
  }
}